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