Cognizanti Digital Business 2020: Getting there from here!

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Cognizanti Digital Business 2020: Getting there from here!
Cognizanti  An annual journal produced by Cognizant

 Digital
 Business
 2020:
 Getting there
 from here!
Cognizanti Digital Business 2020: Getting there from here!
Cognizanti is an annual journal published by Cognizant. Our
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Cognizanti Digital Business 2020: Getting there from here!
Cognizanti                         An annual journal produced by Cognizant
                                                      VOLUME 7 • ISSUE 1 • 2014

		The Cognizanti Team
               Publisher:    Malcolm Frank, Executive Vice President, Strategy & Marketing
         Editor-in-Chief:    Alan Alper, Associate Vice President, Corporate Marketing
                  Editor:    Reshma Trenchil, Senior Manager, Corporate Marketing
    Thought Leadership
 Program Management:         April Vadnais, Senior Manager, Corporate Marketing
            Art Director:    Jason Feuilly, Associate Director, Corporate Brand/Design­
Design/Print Production:     Diana Fitter, Freelance Designer
    Contributing Editor:     Mary Brandel, Freelance Editor
              Columnist:     Bruce J. Rogow, Independent Advisor
     Digital Distribution:   Shamrez Zack, Senior Manager, Corporate Marketing

                              Editorial Advisory Board
                              Kaushik Bhaumik, Senior Vice-President & Market Leader,
                              Communications & Technology Industry Group
                              Nagaraja Srivatsan, Senior Vice-President,
                              Emerging Business Accelerator
                              Mark Livingston, Senior Vice-President,
                              Cognizant Business Consulting
                              Ramkumar Ramamoorthy, Senior Vice-President,
                              Corporate Communications
                              Anand Chandramouli, Director, Cognizant Research Center
                              Ben Pring, Associate Vice-President,
                              Cognizant Center for the Future of Work
                              Gary Beach, Publisher Emeritus, CIO Magazine
Cognizanti Digital Business 2020: Getting there from here!
Table of Contents

6 Editor’s Note
Seeing the Digital Future
through a 2020 Lens

9   The First Word

Signposts to a True End-to-End
Digital Enterprise

17 Digitizing Business Process
Why Smart Hands and
Machines Will Power the
Second Industrial Age

23 Digital Banking
Get Ready to Meet Your Customers

Client Commentary

Retail Banking in a Code Halo World

31 Connected Health
Enabling Healthier
Outcomes for All

39 Trip Planning
How We Will Travel
in the Year 2020
Cognizanti Digital Business 2020: Getting there from here!
47 Consumer Goods
Creating Sustainable
Relationships with Consumers

53 Exploring the Customer Interface
You Had Me at ‘01001000010001
01010011000100110001001111’

59 Information Architecture
Trolling in the Data Lake? Get
Yourself a Fish-Finder

65 Application Program Management
Software Development in the World of Code Halos
The Future of IT

Making IT Your Organization’s
Code Halo Hero

75 The Last Word
The Journey to 2020
Cognizanti Digital Business 2020: Getting there from here!
Editor’s Note

    Seeing the Digital Future
    through a 2020 Lens
    We know: You’ve heard (seemingly forever) how digital technology will revolutionize business. It
    started in the mid-1960s with the advent of commercial mainframes and green screens. Gurus gushed
    breathlessly about the impending paperless office and repeated that mantra throughout the 1970s
    as minicomputers and dedicated word processors selectively supplanted big iron. They raised the
    rhetoric in the late 1980s, pinning their hopes and dreams on networked PCs and Unix servers, and
    continued through the 1990s (into current times) with the mainstreaming of the Worldwide Web and
    so-called “Internet of Things.” And still, the average worker generates more than two pounds of paper
    per day … so much for the paperless office!

    Given all this, it might sound a bit naïve to proclaim that the era of digital business is now upon us.
    Yet as this issue of Cognizanti reveals, new technologies, tools and techniques are rapidly converging
    to push the vision of end-to-end digital business over the final barrier into an approachable reality.
    Big changes in the way we work, live, digitally maintain our health and manage our finances are right
    around the corner and are likely to become accepted norms sometime in the next decade. And this
    time, when we say “digital,” we really mean it. Business leaders of the future will compete not on
    things we can touch but on something that’s as intangible as it is powerful: code. When businesses
    successfully distill and apply meaning from the digital data that surrounds every person, process, orga-
    nization and device (what we call a Code HaloTM), they rise above the fray, turn over entire industries
    and emerge as indomitable — and fierce — competitors.

    It is our contention that business meaning made from Code Halo intersections will separate industry
    leaders from also-rans in this new digital economy. And for businesses in all industries, the path to
    digital success will be paved with a slurry mix of process reinvention, mindset shifts and deepening
    inter-disciplinary competency across the components of the SMAC StackTM (i.e., social, mobile,
    analytics and the cloud). With this technology foundation at their core, organizations can transform
    their business models from simply managing widgets to trading on digits and offering personalized,
    engaging and fulfilling customer experiences.

    In the pages that follow, our authors peer over the horizon into the next decade to see how Code
    Halos will create engaging and even clairvoyant enterprises that can read the minds of customers,
    employees and business partners, and deliver personalized products and services that offer true value
    at the moment of need, sometimes even before the need is realized.

6
Cognizanti Digital Business 2020: Getting there from here!
Our experts examine how SMAC-charged Code Halos will empower digital business within key
industries (consumer goods, banking and healthcare) and assess impending changes in fundamental
business-technology disciplines (process automation, IT management, enterprise information archi-
tecture and software development).

And we conclude with practical advice on what organizations can and should do to navigate around
and through the organizational, technological and business model mountains and molehills that they
are sure to encounter on the way to fulfilling their holistic digital business mandates.

Setting off full-bore on developing an end-to-end digital business strategy requires leaders to see the
big picture. This starts with a serious rethink of what their company is really in business for, given the
Code Halo-inspired upheaval occurring across industries. From there, it evolves into the creation of
impeccably designed and personalized experiences that delight customers at every digital touchpoint
with meaningful and rewarding engagements that drive loyalty (as measured with every interaction
and transaction). That’s not easy, of course, especially in a traditional business world in which success
often pivots around feeds, speeds and other easily duplicated business advantages.

The New Digital Gestalt
As our tribute to design thinking, we hope you enjoy the new look and feel of the Cognizanti journal.
We contemporized the design and created additional entry points to invigorate the reading experience.
We are also moving to a digital-first approach by creating more snackable and shareable content from
the get-go that is easily ported into our Cognizant Perspectives app (which can be sampled on our
Web site (www.cognizant.com/latest-thinking). Feel free to share your thoughts, whether about our
new look, your forays into digital business or your perspective on Code Halo thinking, with me at
Alan.Alper@cognizant.com or on our e-community, Cognizant Connections
(connections.cognizant.com/).

                                                                                                             Cognizanti • 7
Cognizanti Digital Business 2020: Getting there from here!
Cognizanti Digital Business 2020: Getting there from here!
The First Word

Signposts to a True
End-to-End Digital
Enterprise
By Akhil Tandulwadikar

                                                      This data explosion has significant implications for
As digital tools and
                                                      enterprises, particularly those seeking to sharpen
technologies are embedded                             their competitive edge by deftly interpreting the
                                                      accumulated bits and bytes and transforming them
at the core of the business,
                                                      into workable insights that inform and illuminate
the future of work looks more                         business strategy and direction.
connected and data-driven                             The data deluge caused by increasingly chatty and
than ever before.                                     connected products, services, industrial devices,
                                                      consumers and enterprises has resulted in the
                                                      creation of fields of information — or what we call
A few years ago, who could have guessed that          a Code HaloTM. In a business context, these halos
a bunch of everyday objects, or “things,” could       enable meaningful connections among people,
cause such upheaval in the way we live and do         organizations and devices. Extracting meaning
business? And yet, here we are in the midst of a      from Code Halos is a skill that successful enterpris-
data explosion, instigated in part by the so-called   es of tomorrow will need to master, with the help
Internet of Things, a vast and growing network of     of new technology foundations and skills based on
sensor-enabled devices embedded in everything         the SMAC StackTM (i.e., social, mobile, analytics
from vehicles, to healthcare equipment, to            and cloud technologies).
household appliances. These connected “things” —
which in 2012 accounted for 0.6% of the estimated
1.5 trillion things in existence — are expected to
                                                      A Look at the SMAC Stack
number 50 billion by 2020 — or 6.58 connected         Big Data & Analytics
devices per person.1                                  Code Halo thinking is predicated on mastery
                                                      of business analytics. To fan the analytics flame,
The market for wearable electronics alone is
                                                      organizations are betting big on big data, a global
forecast to cross the $8 billion mark by 2018,2
                                                      market that is projected to reach $48.3 billion
across the consumer, healthcare, enterprise and
                                                      by 2018 4 (see Figure 1, next page). The advanced
industrial sectors. The result: A boom in global IP
                                                      and predictive analytics software segment within
traffic volume, which will reach 1.4 zettabytes per
                                                      the big data market is forecast to grow from $2.2
year by 2017.3
                                                      billion in 2013 to $3.4 billion in 2018.5 Through
                                                      the application of best-in-class business analytics,

                                                                                            Cognizanti • 9
Cognizanti Digital Business 2020: Getting there from here!
Big Data Will Take Center Stage
Global big data market estimates and forecast (in $ billions)
                    $60
                                                                                      $48.3
                                                                                      $
                                                                                      $48.
                                                                                        8.3
                    $50

                                                             .5%
                    $40                                R   40
                                                   CAG
                     $30
      ($ billion)

                    $20
                             $6.27
                     $10

                      $0

                                     2012                                      2018
Source: Transparency Market Research
Figure 1

enterprises across the retail, banking, insurance,              ments, including increased efficiencies, improved
manufacturing, communications, information                      employee mobility and the ability to innovate,7
services, media and entertainment industries could              spurring levels of cloud-related spending that are
generate value worth $2.61 trillion per year, an                expected to reach $235.1 billion in 2017, according
increase of 8% beyond current levels.6                          to IHS8 (see Figure 2).

Cloud Computing                                                 Enterprise Social Networking
The growth in cloud infrastructure is enabling                  While social networking seems to have historically
efficient data storage and easier data sharing. As              received short-shrift from enterprises, we detect a
cloud computing matures, it is paving the way for               subtle shift in the air. A recent Frost & Sullivan
next-generation IT architectures, such as software-,            suvey9 found that 88% of respondents believe
platform- and business-process-as-a-service. In fact,           social networking will be important in the coming
the cloud is already delivering measurable improve-             years, especially to enable knowledge transfer

Thickening Clouds in Store for Enterprises
Global spending forecast on cloud architecture (in $ billions)
                    $250

                    $200

                    $150
 ($ billion)

                    $100

                    $50

                     $0

                           2011      2012   2013       2014           2015          2016              2017
Source: IHS
Figure 2

10
within the enterprise and among geographically
disparate employees. Social tools can also improve
                                                            Impact on the Enterprise
employee engagement, as shown in the early                  With SMAC technologies as the fulcrum, pundits
corporate use of “gamification” techiques. Enter-           estimate that business spending on digital
prises’ growing seriousness about social is reflected       infrastructure will reach the $360 billion mark
in the uptake of enterprise social software to enable       by 2016, transforming all functional areas of the
document-sharing, micro-blogging, wiki publishing           enterprise. Social tools will improve customer
and creation of shared spaces for communities.10            engagement and unlock collaboration. Mobile
                                                            will enable anytime/anywhere interactions and
The rise of “social” offers a glimpse into the              localized deals. Analytics will make these efforts
emergence of a digitally-wired enterprise that              personalized and even able to predict customer
fosters a collaborative work culture and enables            needs. Cloud-enabled digitization of processes will
knowledge to flow seamlessly among connected                result in greater automation and better monitoring
employees over smartphones, tablets and other               of internal processes. Integrated data management
devices of choice.                                          will be the crucial intermediary that brings
                                                            disparate sources of data together and feeds the
Mobility                                                    respective functions with the necessary insights.
Whether they’re used for social engagement,
transactions, entertainment or customer service,            Finance
mobile devices are now a crucial channel for                Increasingly, financial executives will employ
customer interaction. Monthly traffic from                  cloud-based SaaS solutions to supplement core
mobile devices will surpass 15 exabytes in 2018,            financial applications in areas such as expense
according to the 2013 Cisco Visual Networking               management and reconciliation management.
Index, and according to Nielsen, consumers                  Big data and analytics will enhance functions
now use their smartphones more than their                   such as accounting, disclosure and governance.
PCs to access the Web.11 Both smartphones and               Accelerated runtimes for period-end reports could
wearable devices will push mobility even further,           significantly reduce the time needed to close the
enabling businesses to interact more personally             books. Mobile solutions will improve employee
with customers, especially through localization             productivity with self-service features such as data
capabilities that deliver offers, alerts and services to    retrieval and sharing (see Figure 3).
customers just when they are needed.

Mobile Improvement Goals of CFOs

                              42%
 45%

 30%
                                                               34%
                                                                                                 30%

  15%

  0%

           Providing employees            Enabling employees to share         Providing employees
             with better data                data and make better             with up-to-the minute
           retrieval capabilities             real-time decisions                 access to data

Source: “Supporting Growth with New Technologies Survey,” 2013, American Express & CFO Research
Figure 3

                                                                                                  Cognizanti • 11
Economic Benefits of Customer Intelligence
Big data analytics plus customer intelligence will make business
processes more cost-effective, resulting in enhanced output and
value across industries.
                                            2011 (£M)
         Professional Services / 1,390
                Other Activities / 1,431
                          Retail / 1,148
                Manufacturing / 1,401
           Central Government / 827
                      Telecoms / 603
                     Healthcare / 467                                   UK Economy (£M)
      Transportation & Logistics / 454
                                                                                         73,791
                  Retail Banking / 234                         80000
               Energy & Utilities / 236
            Investment Banking / 164
                                                                70000
                       Insurance / 122

                                                               60000

                                                               50000

                                                               40000

                                                                30000

                              Cumulative 2012-17 (£M)           20000
         Professional Services / 12,664
                                                                10000         8,477
               Other Activities / 11,620
                          Retail / 10,961
               Manufacturing / 10,640                              0
           Central Government / 6,712                                     2011 (£M)   Cumulative
                      Telecoms / 5,678
                                                                                      2012-17 (£M)
                    Healthcare / 4,633
      Transportation & Logistics / 4,161
                  Retail Banking / 2,127
              Energy & Utilities / 1,943
           Investment Banking / 1,568
                      Insurance / 1,083

Note: Customer intelligence benefits as measured in 2011 currency valuation
Source: “Data Equity: Unlocking the Value of Big Data,” Cebr & SAS
Figure 4

                                                         According to Ovum, customer engagement
Marketing and CRM
                                                         systems will be the fastest growing enterprise
Advanced analytics will provide an ultra-high-           application between 2013 and 2018, with a CAGR
definition12 picture of a company’s move-forward         of 10%.14 Using online tools (such as social media
performance and promotional scenarios to refine          platforms) to handle customer issues will over time
customer engagement strategies on the fly.               prove increasingly useful in improving customer
                                                         satisfaction while reducing costs.15
A study13 of the UK market by the Centre for
Economics and Business Research (Cebr) found
that better customer intelligence, driven by big         Human Resource Management
data and analytics, could infuse the UK economy          Meanwhile, big data is gradually moving recruit-
with $123.8 billion (£74 billion) between 2012 and       ment decisions out of the hands of individual
2017 (see Figure 4), benefiting several industries,      interviewers. Analyzing in-house data about high-
including retail, telecommunication and banking.         tenure employees will help some organizations
                                                         better understand the characteristics to seek in
                                                         prospective job candidates.16

12
of analytics to guide decision-makers through a
Supply Chain
                                                              constant deluge of data.19 Enterprise architects
Areas such as demand planning, order                          need to work in tandem with key business
management and price management are also                      stakeholders to keep the enterprise poised for
expected to benefit greatly from big data initiatives.        continuous transformation.
Big data analytics will enable more intelligent use
of channel data, and a digitized supply chain will       OO   People-centric digitization: Digitization
more effectively combine transactional data with              efforts must focus on the people who make
interactional data to enable new forms of connec-             business happen. Decisions should be guided
tivity and manufacturing.17 Leaders will be able to           by the company’s culture; if the organization
interpret signals in the supply chain and transmit            moves too fast, it risks alienating traditional
them to the right person at the right time to make            thinkers and skeptics, but if it moves too slowly,
the right decision.                                           it risks market irrelevance. The imperative is to
                                                              get employees thinking positively about digital.
Meanwhile, 3-D printing’s print-on-demand
capability is set to have a massive impact on the        OO   New skills: Data scientists, business and data
industrial economy in terms of savings in logistics           analysts, data visualizers, big data program-
and inventory. The economic implications of this              mers, data architects, behavioral scientists and
technology will amount to $550 billion a year by              academic researchers will all be key to creating a
2025, according to McKinsey & Co.18                           digital future.

                                                              Preparing for complexity: Digital enter-
Preparing for the
                                                         OO
                                                              prises are based on a complex environment, full
Digital Future                                                of sensors sending and receiving data. To excel
                                                              amid this complexity, enterprises will need to
While the specifics of digital enterprises will vary
                                                              support product digitization with equivalent
by industry, the fundamentals of getting it right are
                                                              process digitization.
consistent for everyone. End-to-end process digiti-
zation is not just about the technology that binds a     OO   Managing structural transformation:
multitude of devices into a coherent whole; it also           End-to-end process digitization requires large-
involves the organization’s culture, its present and          scale and holistic change across the organiza-
future workforce and, importantly, its leaders.               tion. Many enterprises will appoint a chief
                                                              digital officer — a seasoned and savvy individual
Some important factors of successful digitization
                                                              with a mix of the right leadership and technical
are:
                                                              skills — to oversee this change. Alternatively,
OO   A robust enterprise architecture:                        individual business units could run their own
     Continuous adaptation to a changing business             digitization efforts using a shared infrastructure.
     environment requires an agile and elastic digital
     IT architecture, as well as an increasing array

Footnotes
1
     “Connections Counter: The Internet of Everything in Motion,” Cisco, July 29, 2013,
     http://newsroom.cisco.com/feature-content?type=webcontent&articleId=1208342.
2
     “Wearable Electronics Market to Hit $8 Billion Value by 2018,” PR Newswire, Aug. 18, 2014,
     http://www.prnewswire.co.uk/news-releases/wearable-electronics-market-to-hit-us8-billion-value-
     by-2018-271697591.html.
3
     “The Zettabyte Era: Trends and Analysis,” Cisco, June 10, 2014, http://www.cisco.com/en/US/
     solutions/collateral/ns341/ns525/ns537/ns705/ns827/VNI_Hyperconnectivity_WP.html.
4
     “Global Big Data Market to Be Worth $48.3 Billion by 2018,” Transparency Market Research, June 4,
     2014, http://www.transparencymarketresearch.com/pressrelease/big-data-market.htm.
5
     “Worldwide Advanced and Predictive Analytics Software 2014-2018 Forecast and 2013 Vendor Shares,”
     IDC, June 2014, http://www.idc.com/getdoc.jsp?containerId=249054.

                                                                                                 Cognizanti • 13
6
     Paul Roehrig and Ben Pring, “The Value of Signal and the Cost of Noise,” Cognizant Technology
     Solutions, October 2013, http://www.cognizant.com/InsightsWhitepapers/The-Value-of-Signal-and-
     the-Cost-of-Noise-The-New-Economics-of-Meaning-Making.pdf.
7
     Thor Olavsrud, “How Cloud Computing Helps Cut Costs, Boost Profits,” CIO, March 12, 2013,
     http://www.cio.com/article/2387672/service-oriented-architecture/how-cloud-computing-helps-cut-
     costs--boost-profits.html.
8
     Louis Columbus, “Roundup of Cloud Computing Forecasts and Market Estimates, 2014,” Forbest,
     March 14, 2014, http://www.forbes.com/sites/louiscolumbus/2014/03/14/roundup-of-cloud-comput-
     ing-forecasts-and-market-estimates-2014/.
9
     “Enterprises Harness Social Networking for Increased Agility and Responsiveness,” Frost & Sullivan,
     March 13, 2014, http://www.frost.com/prod/servlet/press-release.pag?docid=289562565.
10
     “Enterprise Social Software Market 2014-2019,” MarketsandMarkets, May 2014,
     http://www.marketsandmarkets.com/Market-Reports/enterprise-social-software-market-568.html.
11
     “How Smartphones Are Changing Consumers’ Daily Routines Around the Globe,” Nielsen, Feb. 24,
     2014, http://www.nielsen.com/content/corporate/us/en/insights/news/2014/how-smartphones-are-
     changing-consumers-daily-routines-around-the-globe.html.
12
     Wes Nichols, “Advertising Analytics 2.0,” Harvard Business Review, March 2013,
     http://hbr.org/2013/03/advertising-analytics-20/ar/1.
13
     “Data Equity: Unlocking the Value of Big Data,” Center for Economics and Business Research, April
     2012, http://www.sas.com/offices/europe/uk/downloads/data-equity-cebr.pdf.
14
     Jeremy Cox, “Ovum Finds Competition for Customers Hotting-Up as CRM and E-commerce Are Set to
     be Fastest Growing Enterprise Applications,” Ovum, July 2014, http://www.ovum.com/press_releases/
     ovum-finds-competition-for-customers-hotting-up-as-crm-and-e-commerce-are-set-to-be-fastest-growing-
     enterprise-applications/.
15
     Francesco Banfi, Boris Gbahoué and Jeremy Schneider, “Higher Satisfaction at Lower Cost: Digitizing
     Customer Care,” McKinsey & Co., July 2013, http://www.mckinsey.com/client_service/marketing_
     and_sales/latest_thinking/digitizing_customer_care.
16
     Tim Smedley, “Forget the CV; Data Decide Careers,” The Financial Times, July 9, 2014,
     http://www.ft.com/cms/s/2/e3561cd0-dd11-11e3-8546-00144feabdc0.html#axzz3Ajs5Yg6c.
17
     Lora Cecere, “The Role of Analytics in the Race for the Supply Chain of the Future,” DataInformed,
     Sept. 24, 2013, http://data-informed.com/role-analytics-race-supply-chain-future/.
18
     Daniel Cohen, Matthew Sargeant, Ken Somers, “3-D Printing Takes Shape,” McKinsey & Co., January
     2014, www.mckinsey.com/insights/manufacturing/3-d_printing_takes_shape.
19
     Nick Vitalari, William Strain, Haydn Shaugnessy, “Creating Elastic Digital Architectures,” Cognizant
     Technology Solutions, Elasticity Labs and Tammy Erickson Associates, September 2012,
     http://www.cognizant.com/InsightsWhitepapers/Creating-Elastic-Digital-Architectures.pdf.

Author
Akhil Tandulwadikar is a Senior Researcher working in the Cognizant Research Center. He can be reached at
Akhil.Tandulwadikar@cognizant.com.

Acknowledgments
The author would like to thank Reshma Trenchil, a Senior Manager in Cognizant’s thought leadership
group, for her contributions to this article.
Code HaloTM is a pending trademark of Cognizant Technology Solutions.
Note: The logos and company names presented in this article are the property of their respective trademark
owners, are not affiliated with Cognizant Technology Solutions, and are displayed for illustrative purposes
only. Use of the logo does not imply endorsement of the organization by Cognizant, nor vice versa.

14
Digitizing Business Process

Why Smart Hands
and Machines Will
Power the Second
Industrial Age
By Robert H. Brown

                                                      With digitally-fueled automation likely to wreak
Whether your organization
                                                      industry-wide change everywhere, will most
completely digitizes its                              humans effectively be “out of a job” by the end of
                                                      the decade? Hardly. Imagine instead a future where
business processes or takes a
                                                      functions become intelligent through technology,
one-off approach, advances                            allowing humans and digital processes to put their
                                                      heads together to create a more intuitive, more
in foundational information
                                                      responsive enterprise. And through that collabora-
technology, process                                   tion, better business results will be delivered via
                                                      new digitally encoded processes.
automation and analytics, as
well as machine intelligence,                         Historical Precedent
will unleash the potential                            Informs the Future
for more productive and                               Movement of People,
innovative ways of working.                           Goods … and Information
                                                      Consider an analogy from the mid-19th century,
The ever-increasing digital intensity of work has     when business entered the Industrial Age for good.
brought us to a profound inflection point in the      The first transcontinental railroad was the emblem
way critical business services will be sourced and,   heralding the shift from the Agricultural Age to
more importantly, delivered. For starters, advances   the Industrial Age, and it created new, unforeseen
in technology, automation, interconnectedness,        functions, jobs and economic possibilities. In
user experience, process analytics and machine        terms of outcomes, people could get other people,
intelligence have finally aligned to redefine and     goods, services, things — and importantly, informa-
reshape the very nature of work. And over the         tion — from point A to point B in a radically more
next decade, disruptive changes are forthcoming       efficient and effective way.1
on the order of magnitude of a second Industrial
Revolution.

                                                                                          Cognizanti • 17
We’re at a similar juncture today. It’s not a stretch     to a health payer about the correlation between
to say that the impact of SMAC technologies (aka          the level of care a patient receives and her wellness
social, mobile, analytics and cloud) on business          (e.g., a $50 co-pay for a doctor’s visit vs. a $1
processes feels like the 21st century version of rails,   million heart transplant).
steel, telegraph poles and locomotive engines.
We’ve started to see the metaphorical digital track       When a doctor or nurse is given paperless
being laid and tunnels being blasted. And, like the       mechanisms to create the claim as “digital”
railroad, the impact will be at a scale not previously    from the outset, qualitative and quantitative
seen before in the history of business.                   benefits across the industry value chain emerge

We’ve started to see the metaphorical
digital track being laid and tunnels being
blasted. And, like the railroad, the impact
will be at a scale not previously seen
before in the history of business.

But much as trains need a destination, business           in tandem with the caregiving process. These
processes — digital, or otherwise — are useless if        include increased speed (or elimination) of claims
they don’t support a business strategy. That means        management, improved accuracy and consistency,
helping smart people make smarter decisions in            and compliance.
support of differentiating activities.
                                                          In addition to better patient care, other benefits of
                                                          digitization, automation and Code Halos include
Maximizing Digital                                        improved results of clinical trials, increased
Processes by Connecting                                   accuracy of clinical trial yields and improved
                                                          judgment and decision-making of physicians, such
Industry Value Chains                                     as avoiding the wrong combinations of pills when
Signs of a powerful interplay of knowledge workers        prescribing medications to patients. All of these
and digital processes are already evident on the          advances help accelerate and improve the precision
road to 2020. This is especially true when you            of regulatory approval for new and powerful drugs.
look at middle- and front-office processes within
industry value chains.                                    Consider a day when Facebook, Amazon or
                                                          Google reveal that they have acquired, partnered
Take healthcare and the ecosystem of dependent            or otherwise developed digital processes that
processes among medical providers, payers and             facilitate the discovery of new drugs that cure
pharmaceuticals companies. For a healthcare               cancer. That would be a definitive milestone for
payer, a claim is the “main character” in the             humanity — a signaling event — far surpassing
insurance process story that passes from a patient,       the “driving of the golden spike.” But it would
to a doctor, and then to the insurance company to         also change the pharmaceuticals industry forever,
be paid. It becomes powerful when wrapped with            prompting competitors to clamor for a response,
a Code HaloTM (i.e., the digital data that accumu-        as fast as possible, in search of cures of a similar
lates around people, processes, organizations and         magnitude.
devices).2 For instance, think of how a patient
Code Halo, rich with metadata that captures the           So to prepare for these coming new digital realities,
individual’s vital signs, offers meaningful insights      the journey to the future of process needs to

18
begin today, by imagining how work will get done      truly transformational, “Big D” process digitiza-
tomorrow. And to be sure, most organizations will     tion — that is, re-imagining and instrumenting a
need to walk before they can run down the path to     process from its beginning to harness the power of
the future.                                           code. Truly digital processes can use Code Halos
                                                      to automate processes right from the outset, but
                                                      the real prize is the data that’s produced as a result.
‘Big D’ and ‘Little d:’                               Information and meta-data in Big D processes are
Digitization at the                                   inherently “born as digits.” And as physical value
                                                      chains digitize, process feedback and analytics
Process Level                                         become instant. Open process loops are closed
Some simple questions to ask include: “How            faster. Insights come faster. Traceability, tracking
do I eliminate paper-based process inputs, such       and auditability are enhanced.
as invoices or claims, and make my process
truly ‘digital’ from the outset?” “Are the people     Today, delivery models such as business process as
delivering my processes today adding value, or        a service (BPaaS) probably come closest to making
injecting risk?” “What are we learning about our      the promise of Big D digital processes a reality.
business or industry value chain as data is applied   While many BPaaS offerings are almost entirely
to process-level algorithms, and is it facilitating   automated, their outputs are leveraged to help
people to make better judgments?”                     process and knowledge workers make quicker,

   Truly digital processes can use Code
   Halos to automate processes right from
   the outset, but the real prize is the data
   that’s produced as a result. Information
   and meta-data in Big D processes are
   inherently “born as digits.”

Many companies are talking about, and in limited      more informed business decisions, using a model
instances actually using, “RPA” (robotic process      that’s typically less costly than traditional sourcing
automation) today. Think of this as “little d”        options.
digitization of information inception (such as
e-invoicing, or optical character recognition). As    By automating systems to better sense, predict
part of this, some organizations are running batch    and deduce the data they consume, employees can
process or presentation-layer macros that automate    work heads up, not down, with intelligence from
pieces of end-to-end workflows (using software        digital processes supporting their own knowledge
providers such as UI Path, WinAuto, Blue Prism,       and experience. And the ability to capture infor-
Automation Anywhere, etc. that rely on those          mation about the movements of people, goods,
process inputs). Commonly, automation at this         information and services through space and time
level is an “inside-out” play — simply an incre-      is allowing leading-edge businesses to re-imagine
mental improvement on existing, intra-enterprise      processes as digital from the outset. Consider
processes. In railroad terms, RPA is the railroad     the Internet of Things, in which sensors — sure
spur in the switchyard.                               to include nanotechnologies in the near future
                                                      — are beginning to totally digitize and automate
But there may be a gnawing concern that “little       processes in a straight-through data flow.3 Those
d” automation initiatives like RPA fall short of

                                                                                            Cognizanti • 19
companies that harness these types of digital                OO   Perform an automation readiness
technologies to recombine and drive innovation                    assessment: Map processes to a level of detail
in their business processes will out-compete those                that includes inputs, process and outputs. Scan
who can’t — or don’t — for years.                                 the market for tested and ready-to-implement
                                                                  technologies that have established tangible
Steps to Take Now,                                                proof of success. Apply “little-d” automation
                                                                  technologies that are minimally invasive to
On the Journey to the                                             operating environments today, but keep your
Future of Process                                                 eye on the prize for where “Big D” transforma-
                                                                  tion makes most sense tomorrow.
Business process leaders can take practical action
now to get their digital process train on the right          OO   Help humans evolve toward the work of
track:                                                            tomorrow: Start by giving employees access to
                                                                  digital processes and machines that help them
OO   Analyze your company at the process                          do their jobs better, smarter and with more
     level: Review in detail your processes as they               meaningful impact to the business. It’s not
     exist today (new product/service development,                about the number of people tied to “doing the
     sales and customer relationship management,                  process”; it’s about outcomes and making smart
     operations, etc.). Infuse a digital process plan,            people even smarter.
     including the applicability of Code Halos, by
     re-imagining moments of customer engagement            To get to the future of process, don’t wait. Start
     or constituent journeys. Target tangible process       today, by imagining how the future of work will
     metrics: cost-per-claim, clinical trial yield,         look tomorrow when digital machines, informa-
     healthcare unit cost, fraud prevention rates, etc.     tion and processes help humans do their jobs
                                                            better, faster and with greater impact.

Footnotes
1
     Before it fell into collapse, historians believe the Roman Empire was tantalizingly close to having
     discovered the steam engine in the 1st century AD; the first recorded rudimentary steam engine being
     the “aeolipile” described by Hero of Alexandria. Had his invention come a century – or even decades –
     earlier, it is arguable that 1,000 years of Dark Ages could have been circumvented, and the Industrial Age
     and Information Ages accelerated by one millennium.
2
     For more on Code Halos and innovation, read “Code Rules: A Playbook for Managing at the
     Crossroads,” Cognizant Technology Solutions, June 2013, http://www.cognizant.com/Futureofwork/
     Documents/code-rules.pdf, and the book, “Code Halos: How the Digital Lives of People, Things, and Orga-
     nizations are Changing the Rules of Business,” by Malcolm Frank, Paul Roehrig and Ben Pring, published
     by John Wiley & Sons. April 2014, http://www.wiley.com/WileyCDA/WileyTitle/productCd-
     1118862074.html.
3
     Our book Code Halos refers to “amplifiers” for digitization (Chapter 4, pages 38-40). The best-known
     ones include laptops, location-aware mobile apps, wearables like the Apple Watch, Google Glass or Nike
     Fuelband and – increasingly – the Internet of Things (i.e., Google Nest).

Author
Robert Hoyle Brown is an Associate Vice President in Cognizant’s Center for the Future of Work and drives strategy
and market outreach for the Business Process Services Practice. He is also a regular contributor to the blog www.
unevenlydistributed.com, “Signals from the Future of Work.” Prior to joining Cognizant, he was Managing Vice
President of the Business and Applications Services team at Gartner, and as a research analyst, he was a recognized
subject matter expert in BPO, cloud services/BPaaS and HR services. He also held roles at Hewlett-Packard and
G2 Research, a boutique outsourcing research firm in Silicon Valley. He holds a Bachelor of Arts degree from the
University of California at Berkeley and, prior to his graduation, attended the London School of Economics as a
Hansard Scholar. He can be reached at Robert.H.Brown@cognizant.com.

Code Halo™ is a pending trademark of Cognizant Technology Solutions.

20
Digital Banking

Get Ready to Meet
Your Customers
By Steven DeLaCastro

                                                         The strategy that your bank adopts to guide
New data modeling and
                                                         its digital evolution through 2020 and beyond
predictive analytics                                     depends on the data, analytics and direction it
                                                         wants to pursue.
techniques are emerging to
help banks create insightful                             Thinking Big
digital strategies that map                              New channels require new ideas. Imagine
to their business objectives                             presenting contextual offers to customers at their
                                                         preferred point of consumption, for example. Or
and strengthen customer                                  issuing merchant-funded, digitally redeemable
relationships.                                           offers to customers as they pay for purchases with
                                                         mobile wallets or debit cards. Or using geolocation
                                                         services to generate custom offers.
Make no mistake: Getting to know customers is a
major undertaking for banks. It requires extensive       Fully digital channels also require a new value
analysis, development of consistent channels             proposition: Banks and customers swap informa-
and constant encouragement to use lower cost             tion more freely. Consumers’ digital lives have
channels like mobile and online.                         changed the rules of banking: They expect person-
                                                         alized options — lots of them — and they want them
No wonder banks have relied on guesswork for             now. In exchange, many are happy to reciprocate
so long. But guesswork is expensive. By finding          by divulging important personal details. According
out who their customers are and then mapping             to one recent study, 70% of bank customers are
that information to business objectives, banks           willing to trade information about themselves for
can skip the speculation and create the personal-        greater personalization or better service.1
ized customer experiences that are the hallmark of
online channels.                                         That free exchange of data forms the heart of
                                                         customer centricity and the future of digital
The first step is developing the underlying data         channels. The more data that banks have on
techniques. Equally important is converting the          customers, the greater their opportunities to
data and newfound customer focus into business           make use of Code Halos2 and deliver personalized
results. Data enables banks to map for multiple          products and offers.
objectives, such as attrition and market penetra-
tion. It also allows bank of all sizes to benefit from
micro-segmentation.

                                                                                             Cognizanti • 23
Developing the Underlying                                Convert Customer Focus
Data Techniques                                          to Business Results
With mass marketing still in force at most banks,        How can banks convert customer journey maps
how can banks begin driving the customer journey         to real business results? Because journey maps
through digital channels? Data techniques are            uncover many data points, they serve as a form of
key. Engaging customers means understand-                computer modeling to determine the likelihood
ing who they are — or who you want them to               of occurrences. Organizations can accurately
be — by creating customer personas. Personas are         predict customer behavior rather than operate on
detailed, multi-dimensional representations of           guesswork. The more variables tracked, the more
your customers and prospects that illuminate their       accurate the predictions will be.
motivations and propensities. They are instrumen-
tal in shaping products and marketing strategies         Banks can map for multiple objectives, including
and determining customer needs and preferences.          attrition, market penetration and channels of
                                                         preference. For example, journey maps can

Engaging customers means understanding
who they are — or who you want them to
be — by creating customer personas.

While personas identify your customers’                  quantify the likelihood that customers with specific
attributes, customer journey maps let you walk in        attributes will buy new products or determine
their shoes. Journey maps are powerful visual tools      which customers are likely to be most receptive to
that trace customers’ steps as they travel through       fully embracing self-service channels (see Figure 1,
key banking activities, such as opening accounts,        next page).
exploring additional products and services, and
resolving problems.                                      Micro-segmentation is an important outcome of
                                                         journey mapping. It enables banks with sophis-
Journey maps provide the big picture. They               ticated IT functions to tweak and personalize
deconstruct banking processes from the outside in:       products and services right down to the level of
Instead of viewing customer experience from an           individual customers. For example, a customer
organizational point of view, journey maps follow        may prefer text-only communications, require
customers through channels, decision paths and,          preemptive notification of cyclical account activity,
perhaps most importantly, emotions.                      and be interested in an auto loan.

For many banks, journey maps are eye-openers.            But the strength of journey mapping is that it
Having never traveled as customers through their         allows any bank to benefit from micro-segmen-
organization, many institutions only guess at the        tation, regardless of its technology capabilities.
routes consumers follow, and they often find the         Small- and medium-sized banks, for example,
reality is quite different from what they imagined.      can use journey maps to expand the number of
Barriers become apparent. Frustrations are noted.        segments they target from a handful to several
The customer journey is frequently revealed to be        dozen.
far less linear than organizations realized, requiring
customers to switch channels for positive and
negative reasons.

24
Typical Steps for Creating a Journey Map
A journey map shows what the customer is trying to
accomplish at each stage of the process.

                                                                                                                   Deliver Insights

                                                                                           Map the Journey
                                                                                                                    •for
                                                                                                                     Develop strategies
                                                                                                                         proactive
                                                                    Collect Data            •journey.
                                                                                             Map the customer    interventions with
                                                                                                                 customers.
                                               Create a Lens        • Collect data.         •goals
                                                                                             Identify customer
                                                                                                   at each
                                                                                                               • Make recommen-
                                                                                                                 dations as to the
                       Define
Create a               Interactions
                                                                    •perspectives
                                                                      Gather stakeholder     touchpoint.             appropriate

Touchpoint                                     •filter
                                                The lens is the
                                                       through
                                                                                    at
                                                                     each touchpoint.       •and
                                                                                             Define roadblocks
                                                                                                 decision points
                                                                                                                     predictive analytics
                                                                                                                     to implement.
Inventory
                       •   Define all
                                                which you view
                                                the customer
                                                                    •customer
                                                                     Define the
                                                                                            •opportunities,
                                                                                             Identify the
                           interactions                                                                     risk
                                                journey.             experience at           areas and calls
  • touchpoints.
    Catalog all            that can occur at
                           each touchpoint.    •various
                                                Define lens for
                                                        segments.
                                                                     touchpoints.            to action.

  •nature
    Identify the       •each
                        Quantify risk at
                             interaction
            of each
                           point.
      touchpoint.

  •   Identify how
      customers
      encounter each
      touchpoint.

Figure 1

Encouraging the Right                                                   Five Steps to Becoming
Channel for Each                                                        Customer-Centric
Customer                                                                Moving toward micro-segmentation and arriving
                                                                        at personalization is an evolutionary journey.
By better understanding the customer journey,
                                                                        The customer-centric strategy your bank adopts
banks can encourage more efficient channel use.
                                                                        to guide its evolution depends upon the data,
They can empower consumers to take advantage
                                                                        analytics and direction it wants to pursue.
of the channels that make the most sense for
                                                                        Objectives might include increasing market share,
them, whether it’s digital channel conveniences or
                                                                        penetrating new markets or lowering costs. Other
hands-on attention that human-assisted channels
                                                                        goals might be reducing attrition, improving
provide.
                                                                        product take-up and increasing loyalty.
For example, by determining the information that
                                                                        It is important to start small and show early
customers regularly request and then proactively
                                                                        success, gradually building your program and fine-
providing it, banks can predict and preempt the
                                                                        tuning it based upon your findings and successes
use of human-assisted channels for the low-value
                                                                        as you go.
interactions that mobile and online channels
process much more fluidly.                                              Here are five steps your bank can take to begin
                                                                        creating insightful digital strategies and channels:
Conversely, banks can offer mutually beneficial
encouragement for use of human channels. By                              1. Evangelize the need for increased
funneling customers with little digital propensity                          customer insight and the types of
as well as those with high-value interactions (such                         data and process-sharing it requires.
as financial advice and complex sales) toward the                           Determine inherent organizational constraints
costlier hands-on channels, they strengthen those                           to sharing customer data across lines of
relationships that genuinely require individual                             business. Examine siloed channel processes
assistance and improve operational efficiency.                              such as line-of-business-based call centers.

                                                                                                                     Cognizanti • 25
Identify the changes that will work in your envi-          IT buy-in is essential. A key task is balancing
     ronment with the least initial disruption.                 short- and long-term goals. How will your
                                                                organization build its infrastructure, platforms,
2. Determine potential sources of data
                                                                applications and support to meet its objectives?
   from all channels. Prioritize the highest and
   lowest cost channels, as they will yield the most        5. Examine must-have analytics capabili-
   benefit from the least effort. Audit the data               ties and tools. Analytics is the cornerstone
   sources for availability and suitability. Assess            for achieving greater insight into customer
   data gaps and determine remediation. Create a               propensity and preferences, as well as for cor-
   data strategy that supports your objectives.                relating the data needed to achieve a suitable
                                                               degree of digital segmentation.
3. Assess the organizational changes that
   may be required. Reinventing your bank                       Many of the standard technologies no
   for greater customer focus can require organi-               longer do the job for banks when it comes to
   zational change to support the new objectives.               predictive analytics. Understanding the new
   Dismantling siloes is hard work, typically                   options is a top priority. Be sure your organiza-
   involving retraining and functional role modi-               tion has a plan for integrating the new function-
   fications. How will your organization evolve                 ality with its existing data sources.
   in response? To ensure your bank is ready,
   follow best practices for organizational change          While banks have lagged behind their retail
   management.                                              industry counterparts in embracing digital — and
                                                            retailers’ successes have raised customers’ expecta-
4. Review your existing technology against                  tions for online experiences — banks need to cater
   your short- and long-term objectives.                    to the new digital reality as it continues to evolve
   Customer-centricity isn’t just about reframing           and accelerate.
   existing processes; it also involves reinventing
   customer-facing processes through the use of
   techniques such as customer journey mapping
   and new technologies.

Footnotes
1
     “Cisco Customer Experience Report,” Cisco Systems, Inc., April 22, 2013, http://newsroom.cisco.com/
     release/1174098.
2
     For more on Code Halos and innovation, read “Code Rules: A Playbook for Managing at the
     Crossroads,” Cognizant Technology Solutions, June 2013, http://www.cognizant.com/Futureofwork/
     Documents/code-rules.pdf, and the book, “Code Halos: How the Digital Lives of People, Things, and Orga-
     nizations are Changing the Rules of Business,” by Malcolm Frank, Paul Roehrig and Ben Pring, published
     by John Wiley & Sons, April 2014, http://www.wiley.com/WileyCDA/WileyTitle/productCd-
     1118862074.html.

Author
Steven DeLaCastro leads Cognizant’s Banking and Financial Services Business Unit’s global digital banking
program, “Bank of Tomorrow … TodayTM.” With a wealth of expertise in bank technology and operations, software,
services and consulting, he has held the titles of Chief Information Officer, Chief Operating Officer, Senior Vice
President, Managing Director, General Manager, EMEA Sales Director, Regional Country Manager, Partner
and Managing Partner. Steven holds an M.B.A. and a BSc. in business administration with concentrations in
operations, finance and psychology. He can be reached at Steven.DeLaCastro@cognizant.com.

Acknowledgments
The author would like to acknowledge the Bank of Tomorrow …Today team for its invaluable contributions.

Code HaloTM is a pending trademark of Cognizant Technology Solutions.

26
Client Commentary

Retail Banking in a
Code Halo World
By Amy Brady

                                                       social, mobile, analytics and cloud technologies
By leveraging data and
                                                       — the SMAC StackTM. Digitization 1.0 entailed
analytics, Key Bank can                                moving existing banking capabilities to the
                                                       Internet to streamline and enable customer inter-
better understand customer
                                                       actions, 24x7. The impact to banking processes
preferences and behaviors                              was minimal. Social, mobile, analytics and cloud
                                                       have the potential to change things, from customer
and deliver tailored offers,
                                                       interactions all the way to the end of the business
services and solutions.                                process.

                                                       As we continue our journey with data and analytics
Retail bankers are redefining convenience in high-     – and leveraging Code Halos — we are developing
stakes bids for customers. Let’s face it — customer    different ways to discern our customers’ unique
expectations have changed dramatically in just the     needs and preference so we can offer services that
past decade. It’s no longer enough to offer banking    we believe our customers value. As we develop
via the Web, mobile device or app. Such services       these data capabilities, we can better understand
are mere table stakes.                                 customer preferences and sentiments by capturing
                                                       and analyzing their social media interactions and
 Above all, customers value clear and simple           their previous transactions/interactions with us.
solutions to their personal financial challenges.      And we can marry these insights with third-party
Customers want banking to be easy. They                demographic data to understand what people like
expect — in fact, demand — an engaging, intuitive      them need and want from a bank like ours. At that
and consistent experience across all channels,         point, we can make offers and deliver services as if
including when they visit the branch, dial a           they were a market of one rather than a number in
support center or engage in an instant chat session.   a large demographic.
There is no way to deliver this experience without     How will we do this? By seeing customer Code
fully digitizing critical internal and external        Halos and distilling meaning from intersec-
processes across the front-to-back office. And         tions with our processes and people. We can
from where I sit, Code Halo thinking1 is critical to   create customer profiles that can be used across
transforming today’s loose assortment of digitized     channels to ensure that we do not ask customers
assets into a coherent, interconnected ecosystem       time-consuming and frustrating questions for
that provides true value to banking customers by       which we already have the answers (like home
offering expertise that stems from anticipating        address, account numbers, preferred language and
customer needs, wants and desires before a single      channels). We reward them with offers that fit
request is articulated, input or even swiped.          their preferences and requirements, not ours. We
                                                       proactively alert them on unauthorized or unrec-
Decoding and applying meaning from the data
                                                       ognized behavior, helping to keep them secure,
swirling around people, processes, organizations
                                                       confident and loyal.
and devices is something we are seriously applying
to our digital business transformation. Getting
there requires a strong IT foundation built on

                                                                                           Cognizanti • 27
Consider this simple scenario: We see out-of-             SMAC technologies are not only increasing our
state credit card transactions for a customer who         ability to digitize our business; they are allowing us
typically transacts in Ohio, perhaps in another           to increase speed and agility. In fact, actions that
region of the country or the world. An integrated         typically take hours or days to complete pre-SMAC
ecosystem that leverages SMAC capabilities                (a question on a credit or debit issue, loan status
enables us to see this in real time. We then alert        or a product offer) will be handled by customers
the customer to verify whether the transaction is         themselves, across channels, in real time. We
valid. As our call center staff solidifies and protects   believe this will provide significant value to our
the relationship, they can also share advice on           customers, as well as enable operational efficiency
credit card protection online, or offer an incentive      and cost savings for Key.
for procuring additional safeguards from us.

    Increased digitization will connect our
customers to our online support, branches
       and call centers as if those banking
              channels were one channel.

Beyond protecting customer assets, we find                While SMAC technologies are core to enhancing
relevant and timely reasons to reach out and              the client experience, these capabilities also
engage with customers by offering targeted deals          enable true end-to-end transaction processing.
based upon our “data-enabled” understanding               This process transformation requires not only
of their needs. This helps us to provide tailored         technology change, but also an evolution in our
solutions and remain top-of-mind. In retail               approach to business processes, as well.
banking, mindshare translates into market share as
measured in terms of share of wallet.                     I see Code Halo thinking as a way to drive transfor-
                                                          mative change across the retail banking landscape.
The challenge in all of this is to make sure we           By embracing a digital architecture end-to-end,
apply predictive analytics and data insights in ways      banks can work proactively and unlock insights
that create customer intimacy while maintaining           and foresights contained in data intersections.
customer privacy and avoiding the perception of           These insights and foresights can help banks
being invasive.                                           provide services that banking customers truly
                                                          value.
Digital Empowerment                                       Such a capability is critical in our business, where
Code Halo thinking and digital business trans-            rival services are a click, swipe, phone call or
formation also benefit customers by empowering            instant chat away. Therefore, we must become
them to work with us when, where and how                  omniscient, internally and externally, and
they want. Increased digitization will connect            proactively deliver offers and services by reading
our customers to our online support, branches             our customers’ minds. Code Halo thinking is
and call centers as if those banking channels             integral to knowing, rewarding, protecting and
were one channel. This interconnection will               empowering our customers. We are convinced that
enable customers to seamlessly move among the             connecting and making meaning from Code Halos
channels as they choose – allowing them to easily         is a critical component to solidifying and extending
interact with us and to see and resolve issues for        our standing among the country’s major
themselves.                                               regional banks.

28
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