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This was a webcast earlier this month. While you can review the road maps online, it always helps to have SAP explain it. Below are my rough notes as I heard the webcast.
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S/4HANA cloud is a preconfigured solution with quarterly updates
Allows for multi tenants
Source: SAP
Release schedule
Quarterly release for cloud
Now at 1902 for Cloud
1809 FPS 01 for on premise
Next big on-premise release is 1909 expected in September
Source: SAP
Machine learning - see more and more in S/4HANA releases
Embedded algorithms to automate and run software
Ship out of the box machine learnings and patterns
Some are built to predict things in the future
Automate steps
Some for augmentation - gives you recommendations
Pattern recognition - propose something
Programmed by SAP, define data model, to give you future recommendations - model is designed, could be regression
Customer takes his data from past, then train S/4HANA system, how work with in the past, and see machine learning on the right - predict when stock arrives, or recommendations to match goods receipt and invoice receipts
Some machine learning is inside S/4HANA
More complex machine learning - using external data (weather) can use the SAP Leonardo in SAP Cloud Platform
Source: SAP
In ECC, not much in analytics
In S/4HANA, offers analytics, such as a sales 360 view of the customer
MRP - you can simulate MD04
Finance - has predictions, sales volume and how it impacts the general ledger
Asset management - show me maintenance status of repairs
Blue area - functionality in S/4HANA but not in ERP - embedded extended warehouse management, PPDS
Portfolio Project Management
Finance has group reporting
Has light CRM functionality to cover CS scope
Green - new ATP, new capacity planning, new variant configuration and simulation
Orange - where introduce machine learning, including procurement - propose where you have better contracts
Propose material groups
Finance has a cash application for matching
Sales - predictive functionality - how likely quotes turn into orders
Predict stock in transit - when things arrive
Cloud icons - working on integration with cloud applications
Source: SAP
Highlight slide for LoB's
Combined FI & CO
Machine learning for GR/IR
Sales order prediction
*** 3 asterisks - sits outside of S/4HANA, such as SAP Cloud Platform
** 2 asterisks - need more licenses
Bottom includes includes roadmap for the future - predictive purchase order, financial planning cockpit and close cockpit
Harmonize settlement and allocations
Source: SAP
Physical add-ons are a "thing of the fast"
Advanced ATP - updates in 1809
Road map - for transportation management - will bring migration tools to move from old TM in ECC to S/4HANA
Role based KPI's for Shipping
More machine learning scenarios for supply chain
Source: SAP
New machine learning functionality delivered with 1809
Proposal for materials without contract
Propose material group assignment
Classify free text items
Seamless integration of Ariba Smart Buying (also in 1809)
Coming:
Predictive functionality with supplier delivery
Procuring services with Ariba/Fieldglass "out of the box" like guided buying
Integrate contracts with supplier management
Source: SAP
Overview page for maintenance planners, key KPI's, new apps for reporting and processing, repairs
Integration with AIN, asset intelligence network
Geographic enablement - how many assets in a certain area from a map to S/4HANA
Coming - asset cost analysis, health and safety - integrate information from content providers - a better way to track dangerous materials
Source: SAP
Sales force, track leads, subscription order management
NLP - natural language process skills to interact - ask system by voice or keypad - ask in natural language
Road map - create sales order in Fiori - why so long? Think of VA01, on how many fields, tabs and variations and how you use it
Need to bring to Fiori world, adhere to Fiori design principles, slice and dice, more sequential, fully operational app
Cash application for contract accounting is planned for 2020
Source: SAP
This is a technical add-on
End of year, bring this into digital core and part of S/4HANA shipment
Striving for functional parity of CS module
Road map - machine learning scenario for ticket categorization
This is a lot to take in; SAP provided a good summary. What are your thoughts?
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