SAP Innovation Awards 2020 Entry Pitch Deck - Keel Solution Aps Optimizing Your Data Governance in SAP with KICKer Keel Intelligent ...
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SAP® Innovation Awards 2020 Entry Pitch Deck Optimizing Your Data Governance in SAP with KICKer (Keel Intelligent Classification Kit) Keel Solution Aps
Company Information
Headquarters Bredgade 19E, 2th, 1260 Copenhagen, Denmark
Industry Energy and Utility
Web site www.keelsolution.com
Keel offers custom Asset Data Management and Asset Data Governance services to leading companies
within the Asset Intensive Industries (Wind Energy, Oil & Gas Upstream and Oil & Gas Downstream).
Services: We help our clients systemize, quality assure, and enhance their Asset Master Data, Asset
Transaction Data and Operating Integrity Data. It is done by optimizing and unifying ERP and CMMS systems
in SAP and providing custom developed data management solutions. Typically, the work is performed for
Asset Intensive units such as plants, wind turbines, oil rigs, vessels or other facilities – worldwide.
We help our clients implement and ensure compliance with key technical standards and operating
procedures like RDS-PP, eCl@ss, ISO 14224, and ISO 55000 – especially from the Asset Integrity
Management viewpoint.
Technologies: We incorporate SAP, SAP S/4HANA, Internet of Things (IoT), Machine Learning (ML),
Artificial Intelligence (AI), and big data analytics into our workflow.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 2
KICKer: Keel Intelligent Classification Kit
A powerful tool for your Data Classification
Challenge
Reliable data is the one It is a myth that you can just apply an algorithm to raw data and have insights pop up. Industry 4.0 cannot be implemented
unassuming and widely without classified, codified and properly labelled data. There simply would not be the “Fourth Industrial Revolution'' without the
ignored thing capable of revolution in the Digital Supply Chain. Data cleansing is costly, time consuming and there are not enough resources available to
manually cleanse the sheer volume of data that needs to be cleansed.
leveraging work efficiency
tremendously. Solution
KICKer is an AI application which greatly reduces the workload required to cleanse data. It is fast and easy to implement, and
Nevertheless, it is still widely can be used by all members of the organization.
missing in many enterprises. The application learns to copy the users' classification techniques and can even surpass the skill level of the most experienced
team members.
Instead of sacrificing Outcome
enormous resources to get The user receives auto-classified results with 75% accuracy level which saves approximately 80-90% of time for analysis. This
classified results, managers eliminates manual data uploads thanks to the automatic synchronization with the system. The aggregated experience is then used
are now able to delegate in classification of the next datasets.
routine tasks to KICKer and
get perfect results fast.
____________________
Christian D. Grahn, CEO
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 3
Business Challenges and Objectives
Routine Work: Oftentimes, enterprises run inventory counting and Data Uploads: Uploads to the ERP system are one of the most
procurement processes in SAP, and implement component difficult processes when dealing with large data sets. When
classification processes for all ranges at once. Classification of such companies implement data classification for the entire asset, they
large amounts of data requires many repetitive and monotonous have to deal with data uploads from scratch.
activities, decreasing human effectiveness.
Slow Progress: Recurring tasks are always time-consuming. It is
Time-consumption: Data classification delivery baseline implies menial hard to get more done and increase productivity while executing
tasks that require not only excessive amount of time on a daily basis, common activities, such as a typical analysis of component
but also adequate breaks that personnel should take in order to stay descriptions in order to assign the correct labels to them.
productive.
Workflow Inconsistency: The success of data classification projects
Human Error: As the classification process involves a lot of repetitive heavily depends the efficiency of data analysis. However, routine
tasks, boredom and data errors are inevitable since employees lose operations cause the loss of human concentration, failure to comply
their attention, positive attitude, and motivation. with the project scheme, details omission and workflows neglect.
KICKer transforms vast amount of material data into classified master data structures with minimum effort.
It surpasses manual processes and results in high efficiency due to automation of repetitive and tedious manual tasks and
conforms to the systematic analysis workflow.
The application evaluates digital data in a highly intelligent way, immediately determining and assigning a classification tag to
the components based on high-quality training datasets. Afterwards, it invokes mass updates in SAP in real time. After
aggregating the right data, the outcome gets more and more accurate. It allows personnel to dedicate more time to verify the
correct results rather then spend time on manual verification of the dataset.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 4Project or Use Case Details
Keel is a company with extensive expertise in data
governance and has a range of ongoing and completed
projects related to data classification based on eCl@ss
standard. We had an opportunity to test KICKer in real
environment, receive feedback and perfect our model
before deployment.
While regular manual classification of 35000 components
takes 800 hours, including extra features adds 400 more
hours. With KICKer, however, the same results were
achieved three times faster, totaling only 250 hours.
KICKer saved approximately 80-90% of time for analysis
and showed the accuracy level of 60-75%, depending on
the quality of training dataset.
We continue using KICKer in our current projects and it
successfully handles large amounts of data at once.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 5Benefits and Outcomes
Business or Social IT Human Empowerment
● Time Saving ● Sync with SAP ● Reducing Routine Workload
KICKer will do Automatically assigns the Creates more space and time
components analysis but applied class to Material in for developing employees’
much faster and smarter. SAP system (SAP ECC or talent and creativity.
S/4HANA).
● Accuracy ● Productivity
● Self-Learning Application
Enhance the level of Surpasses human-level
accuracy against human The application learns by performance and results in
errors. itself from manually labeled high efficiency.
data and/or actual training
dataset.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 6Architecture
KICKer is a Web application developed in SAP Cloud Platform and extended to SAP S/4HANA. Use of SAP
Cloud Platform cockpit and SAPUI5 library technologies makes this application easily customizable to any
client’s needs.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 7Deployment
Deployment status POC
Date 01/09/2019 Number of 7
users
SAP technologies used:
Deployment status
SAP product (live or proof of concept [POC]) Contribution to project
1 SAP Cloud Platform POC
2 SAPUI5 POC
3 SAP S/4HANA POC
4
5
If you have used one of the services or support offerings from SAP Digital Business Services during the implementation or
deployment phase, please select with X one or more of the following offerings:
SAP MaxAttention™ SAP ActiveAttention™ SAP Advanced Deployment
SAP Value Assurance SAP Model Company Others:
SAP Innovation Services SAP Innovative Business Solutions
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 8Advanced Technologies
The following advanced technologies were part of the project.
Technology or use case Yes or No Contribution to project
1 3D printing No
2 Blockchain No
3 Internet of Things (IoT) No
4 Machine learning or AI Yes
5 Conversational AI No
6 Robotic process automation Yes
7 Data anonymization No
8 Augmented analytics No
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 9Additional Information
Why KICKer?
● Web-based SAP Cloud Platform
● Easily customizable (standard SAPUI5 library used)
● Reduction of manual data entry
● Automatic and accelerated routine processes
● Automatic synchronization and no data uploads
● No outsourcing data analysts or external consultants
● More time for validation of results
● Reduced project time
● Saved project cost
● Staff release from mundane tasks
● More focus on employees’ creativity development
● Adaptive Learning of application
Positive user feedback motivates Keel development team to
further strengthen the app effectiveness. In the coming time
Keel intends to add some additional criteria for assessment
to make the outcome more precise.
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 10Additional Information
https://youtu.be/HY5lb2LG1lo
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 11Follow us www.sap.com/contactsap © 2019 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they should not be relied upon in making purchasing decisions. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies. See www.sap.com/copyright for additional trademark information and notices.
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