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How To Optimize
Data And Processes
with AI/ ML and SAP
Fiori
Artificial Intelligence and
Machine Learning
Digitization Trends
3
Data &
Processes
Automation
Cloud
AI/ML
Business Networks and
cross-companycollaboration
User Experience
Supply Chain Digitalization
Self-service
End-to-end process
integration
Process Mining
Digitization Trends
4
Data &
Processes
Automation
Cloud
AI/ML
Business Networks and
cross-companycollaboration
User Experience
Supply Chain Digitalization
Self-service
End-to-end process
integration
Process Mining
Material Master Creation
5
Constant new product
introductions and
changes
Highly manual, complex
process with lots of
possible data entry error
points
Material Master Creation
6
To improve data quality,
companies typically set
out to define 100s of data
validation rules
Embed your business rules
to improve data quality
Challenges in establishing business rules
7
Heavy reliance on
SMEs and tacit
knowledge
Gaining cross-
functional
alignment is time
consuming
Covering edge
cases in a rule is
difficult
Even rules do not
achieve 100%
data quality
What if you could eliminate the need for many of these
rules by using Machine Learning?
Machine Learning POC
8
• ML provides recommendations and
data quality checks
• Reduction of hard-coded rules
• Integrates via synchronous REST API
calls
• Extensible Machine Learning
framework
• Can use Data Attribute
RecommendationAI service
Material
creation
request
RESTAPI
Machine
Learning
Platform
Automate
Evolve
ERP
Machine Learning
Algorithm
ML Framework
Material Master Creation with ML
9
ML output fields are
used to pre-
populate and
validate form fields
User enters
minimum
number of input
fields
New Material
creation request
ML predicts output
fields based on
delivered input
fields
Demo:
New Material Creation Request with
Machine Learning
Demo recording
11
Benefits of Machine Learning
12
• Improve data entry and decision making through recommendations
• Improve data quality through ML-based checks
• Create rules and predictions that are not possible without ML
• Reduction of hard-coded rules
• Reduce complexity to determine business rules
• Reduce time to value in solution development
Limitations of Machine Learning
13
• ML will not replace all rules
• It will never reach 100% accuracy for all values
• Outcome depends on the quality of data, types of ML models and
quality of ML algorithm
• ML might require to change the implementation approach e.g. first
determine how well ML works and then build the additional required
hard coded rules
SAP Fiori
automation
15
What We Do for SAP
Data Management ProcessAutomation
Automate Studio
Precisely Automate portfolio
16
STANDALONE
Exchange data with SAP quickly
and easily using Excel
• Data creationandmaintenance
• Data migration
• Operational reporting
• Data stewardship
GOVERNED
Share, manage, & control Precisely
across the enterprise
• Basic2-stepworkflow
• Centralizedmanagement
• Granular control of licenses,users&policies
• Extensive auditandROIreporting
• Server-side jobexecution&scheduling
WORKFLOW-ENABLED
Automate and streamline SAP
processes using workflows
• Advancedformandworkflowcapabilities
• Advanceddatastewardshipcapabilitiesvia
webforms
• Detailedprocessanalytics
Business users
work in Excel
Business users work
in Excel or web forms
Automate Studio Manager
Business users
work in Excel
Automate Evolve
17
Automate Studio business author modules for Data
Management
Transaction
Fast, easy data uploadsto
SAP
Query
Easy, real-time SAP data
extraction and reporting
Direct
Advancedsolution builder
using SAP BAPIs
Presentation name
Connecting to more systems of record
Third-party RESTful API support
18
SAP ERP
PFM
EnterWorks
AutomateEvolve
Generic Protocols
SOAP SQL ODBC
OLEDB ODATA REST
SAP Interface through the years
19
GUI
Web GUI
NWBC
SAP Fiori
Fiori Launchpad
• Customizable grouping of
Fiori Apps
• Role-based access/views of
Apps
• Users can:
• Customize the theme
• Customize options in Apps/App
groups, if allowed
20
SAP Fiori
Fiori Apps provide a simplified,
modern web-based interface
Fiori App types
• Transactional – perform data
input/maintenancetasks, ex:
create sales order, PO, journal
entry and also master data, like
BP or product
• Factsheet - displaycontextual
informationand key facts about
objects, often allowsdrilldown
• Analytical – role-based insights
into real-time operationsvia
charts/graphs
21
Transactional
Factsheet
Analytical
We are targeting
Transactional apps for Fiori
automation
SAP Fiori App
Automation
We’re announcingour automation
for Fiori Apps
• Targets SAP-recommended UI5
Fiori apps
• Integrates with the SAP backend
via standard APIs
• All versions of SAP supported
• No backend changes or
installationsrequired
Presentation name
22
Fiori Automation
Want Early Access?
We are looking for customers who want to be involved in this effort, providing input
and feedback on how a Fiori automation solution would benefit your business.
We are looking for customers who:
• Are using Fiori apps on S/4HANA (standard or custom apps)
• Are willing to discuss your needs
For more information on the Beta program:
• Contact your Precisely Account Representative
• Call +1 (877) 700 0970
• Visit www.precisely.com/contact
Recap
• Complex processes in SAP: Challenges
• Precisely Automate’s move to the cloud has started
• Portals offer users self-service, web access to SAP data
• API’s enable end-2-end automation between SAP and other systems
• Machine Learning offers further improvements in automation
•Fiori Process Automation addresses many shortcomings
“The pace of change has
never been this fast, but
it will never be this slow
again.”
Justin Trudeau
Prime Minister of Canada
Q&A
Let’s continue the
conversation…
Contact us
Set up a 30-minute personalized demo
+1-877-700-0970
“Get in touch” on www.precisely.com
www.precisely.com
Demos
White Papers
Case Studies
Thank You

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How To Optimize Data And Processes with AI/ ML and SAP Fiori

  • 1. How To Optimize Data And Processes with AI/ ML and SAP Fiori
  • 3. Digitization Trends 3 Data & Processes Automation Cloud AI/ML Business Networks and cross-companycollaboration User Experience Supply Chain Digitalization Self-service End-to-end process integration Process Mining
  • 4. Digitization Trends 4 Data & Processes Automation Cloud AI/ML Business Networks and cross-companycollaboration User Experience Supply Chain Digitalization Self-service End-to-end process integration Process Mining
  • 5. Material Master Creation 5 Constant new product introductions and changes Highly manual, complex process with lots of possible data entry error points
  • 6. Material Master Creation 6 To improve data quality, companies typically set out to define 100s of data validation rules Embed your business rules to improve data quality
  • 7. Challenges in establishing business rules 7 Heavy reliance on SMEs and tacit knowledge Gaining cross- functional alignment is time consuming Covering edge cases in a rule is difficult Even rules do not achieve 100% data quality What if you could eliminate the need for many of these rules by using Machine Learning?
  • 8. Machine Learning POC 8 • ML provides recommendations and data quality checks • Reduction of hard-coded rules • Integrates via synchronous REST API calls • Extensible Machine Learning framework • Can use Data Attribute RecommendationAI service Material creation request RESTAPI Machine Learning Platform Automate Evolve ERP Machine Learning Algorithm ML Framework
  • 9. Material Master Creation with ML 9 ML output fields are used to pre- populate and validate form fields User enters minimum number of input fields New Material creation request ML predicts output fields based on delivered input fields
  • 10. Demo: New Material Creation Request with Machine Learning
  • 12. Benefits of Machine Learning 12 • Improve data entry and decision making through recommendations • Improve data quality through ML-based checks • Create rules and predictions that are not possible without ML • Reduction of hard-coded rules • Reduce complexity to determine business rules • Reduce time to value in solution development
  • 13. Limitations of Machine Learning 13 • ML will not replace all rules • It will never reach 100% accuracy for all values • Outcome depends on the quality of data, types of ML models and quality of ML algorithm • ML might require to change the implementation approach e.g. first determine how well ML works and then build the additional required hard coded rules
  • 15. 15 What We Do for SAP Data Management ProcessAutomation
  • 16. Automate Studio Precisely Automate portfolio 16 STANDALONE Exchange data with SAP quickly and easily using Excel • Data creationandmaintenance • Data migration • Operational reporting • Data stewardship GOVERNED Share, manage, & control Precisely across the enterprise • Basic2-stepworkflow • Centralizedmanagement • Granular control of licenses,users&policies • Extensive auditandROIreporting • Server-side jobexecution&scheduling WORKFLOW-ENABLED Automate and streamline SAP processes using workflows • Advancedformandworkflowcapabilities • Advanceddatastewardshipcapabilitiesvia webforms • Detailedprocessanalytics Business users work in Excel Business users work in Excel or web forms Automate Studio Manager Business users work in Excel Automate Evolve
  • 17. 17 Automate Studio business author modules for Data Management Transaction Fast, easy data uploadsto SAP Query Easy, real-time SAP data extraction and reporting Direct Advancedsolution builder using SAP BAPIs
  • 18. Presentation name Connecting to more systems of record Third-party RESTful API support 18 SAP ERP PFM EnterWorks AutomateEvolve Generic Protocols SOAP SQL ODBC OLEDB ODATA REST
  • 19. SAP Interface through the years 19 GUI Web GUI NWBC
  • 20. SAP Fiori Fiori Launchpad • Customizable grouping of Fiori Apps • Role-based access/views of Apps • Users can: • Customize the theme • Customize options in Apps/App groups, if allowed 20
  • 21. SAP Fiori Fiori Apps provide a simplified, modern web-based interface Fiori App types • Transactional – perform data input/maintenancetasks, ex: create sales order, PO, journal entry and also master data, like BP or product • Factsheet - displaycontextual informationand key facts about objects, often allowsdrilldown • Analytical – role-based insights into real-time operationsvia charts/graphs 21 Transactional Factsheet Analytical We are targeting Transactional apps for Fiori automation
  • 22. SAP Fiori App Automation We’re announcingour automation for Fiori Apps • Targets SAP-recommended UI5 Fiori apps • Integrates with the SAP backend via standard APIs • All versions of SAP supported • No backend changes or installationsrequired Presentation name 22
  • 23. Fiori Automation Want Early Access? We are looking for customers who want to be involved in this effort, providing input and feedback on how a Fiori automation solution would benefit your business. We are looking for customers who: • Are using Fiori apps on S/4HANA (standard or custom apps) • Are willing to discuss your needs For more information on the Beta program: • Contact your Precisely Account Representative • Call +1 (877) 700 0970 • Visit www.precisely.com/contact
  • 24. Recap • Complex processes in SAP: Challenges • Precisely Automate’s move to the cloud has started • Portals offer users self-service, web access to SAP data • API’s enable end-2-end automation between SAP and other systems • Machine Learning offers further improvements in automation •Fiori Process Automation addresses many shortcomings
  • 25. “The pace of change has never been this fast, but it will never be this slow again.” Justin Trudeau Prime Minister of Canada
  • 26. Q&A
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