- SAP Managed Tags:
This was an ASUG webcast last week. Don't forget to join us August 8 BI: SAP S/4HANA and SAP Analytics (Focus on SAP Analytics Cloud): Where to Do What?
Source: SAP
Focus for this is on-premise
Source: SAP
Legal disclaimer applies; plans are subject to change
Source: SAP
S/4HANA 4 years of innovation
The stack has consolidated without middleware
Real time analytics and inventory
Technology produces a lot of data
Segment of one
Will process more transactions than we ever have in ERP
Need a high degree of automation
Change the way the user interacts with the system
Next release will be the fifth release
Source: SAP
The road map is 100 pages
The gist, overarching themes in the system
Going into an intelligent ERP
Will depend on a high degree of automation
Start at lowest levels with robotics; go beyond with machine learning, then about redesign processes due to automation
What does automation due to the end user? User will change; will go into a process of analytics, exception management
Source: SAP
RPA - SAP released RPA - Intelligent RPA, start using intelligent technologies to overcome typos
Not work with the screens
RPA spans beyond SAP; automate end to end process
Use machine learning - tries to use intelligent technologies to make sense of data that is not ready for processing otherwise
Working on scenario - unstructured data to transaction - sales orders come in by PDF; analyze data by PDF and out of that comes a sales order
In house procurement - being built - take a picture of equipment, and do an in house procurement based on that picture
Source: SAP
What do to address end user?
Exception management - situation handling - create programs to bring attention to end user
In middle, pyramid approach, enter solution at top level (Fiori apps) and bring in embedded analytics - overview pages, analysis path frameworks, then navigate to the transactions - new way of working - still find ways things to work on
User experience - speech interaction with co-pilot, modern interaction with technologies
Source: SAP
Finance strategy from traditional process where work is in operations, S/4HANA has no reconciliation with analytics, some tasks are obsolete
Increase real time insights
One step further with predictive algorithms to go into a predictive finance
Going away from clerical finance to analytical
Source: SAP
Top is above section what is already delivered
GR/IR cockpit
Below line - what is coming in 1-2 years
Predictive PO; analyze org change impacts
Source: SAP
Road map - in house procurement
Integrate Ariba better and Fieldglass
Source: SAP
Upcoming is Fiori app for sales order; one of the most central objects
Create sales order from unstructured data
Cash application for contract accounting
Source: SAP
Integrating with customer service capabilities
Ticket categorization is planned with machine learning
Source: SAP
Highlight is real time inventory; exception management is costly for inventory - avoid in first place
Trying blockchain for ocean shipping (controlling the title)
Overview pages for transportation management (will have insight to action)
Source: SAP
MRP cockpit
Demand driven
Source: SAP
Machine learning classification for documents
Source: SAP
Asset Management; building Fiori
Source: SAP
More functional details for 1909
Take intelligence serious; across all functional domains
Source: SAP
Integration - started building out amongst all of SAP solutions
With SuccessFactors, Cloud for Customer
Charter projects with charter clients
To allow customers to integrate rapidly
Source: SAP
How to integrate experience management with S/4HANA
Combination of 2 data sets will make a difference
Getting feedback on a product launch, feedback, will drive faster innovation cycles
Source: SAP
Operational excellence, one code line "leverage best of both worlds"
Tools have improved
Source: SAP
One code line is how execute
Cloud or on premise is a choice
Cloud is about standardization
Source: SAP
Focus on how you can implement
Program - S/4HANA movement, looking into overall chain of how implement
Define strategy - business value advisor, white paper, customer success flipbook
S/4HANA manifesto - joint learning of several projects - conversion or new install?
Custom code adaptation improved
Analyzed most impacted simplification items, and started improved tools
Guide of how to react on certain inconsistencies in finance migration
Invested in down time optimization
Source: SAP
1909 is coming in September; in last days of development
Next year 2 feature packages
Link to the road map is here
Replay is here.
Q: Intelligent embedded in S/4HANA - do customers have to buy Leonardo?
A: Optional
Q: Is automated migration available from SRM to S/4HANA?
A: No automation at this point; it is a project like taking it over
Q: Support life cycle for S/4HANA?
A: S/4HANA has a 5 year maintenance window
No communication about an end for S/4HANA
Q: C/4HANA vs S/4HANA sales functionality?
A: C/4HANA includes marketing and front office capabilities
S/4HANA is extended from traditional SD
Q: key difference between cloud S/4HANA and on-premise?
A: How consume, scope
Slides are attached here
Source: SAP
Focus for this is on-premise
Source: SAP
Legal disclaimer applies; plans are subject to change
Source: SAP
S/4HANA 4 years of innovation
The stack has consolidated without middleware
Real time analytics and inventory
Technology produces a lot of data
Segment of one
Will process more transactions than we ever have in ERP
Need a high degree of automation
Change the way the user interacts with the system
Next release will be the fifth release
Source: SAP
The road map is 100 pages
The gist, overarching themes in the system
Going into an intelligent ERP
Will depend on a high degree of automation
Start at lowest levels with robotics; go beyond with machine learning, then about redesign processes due to automation
What does automation due to the end user? User will change; will go into a process of analytics, exception management
Source: SAP
RPA - SAP released RPA - Intelligent RPA, start using intelligent technologies to overcome typos
Not work with the screens
RPA spans beyond SAP; automate end to end process
Use machine learning - tries to use intelligent technologies to make sense of data that is not ready for processing otherwise
Working on scenario - unstructured data to transaction - sales orders come in by PDF; analyze data by PDF and out of that comes a sales order
In house procurement - being built - take a picture of equipment, and do an in house procurement based on that picture
Source: SAP
What do to address end user?
Exception management - situation handling - create programs to bring attention to end user
In middle, pyramid approach, enter solution at top level (Fiori apps) and bring in embedded analytics - overview pages, analysis path frameworks, then navigate to the transactions - new way of working - still find ways things to work on
User experience - speech interaction with co-pilot, modern interaction with technologies
Source: SAP
Finance strategy from traditional process where work is in operations, S/4HANA has no reconciliation with analytics, some tasks are obsolete
Increase real time insights
One step further with predictive algorithms to go into a predictive finance
Going away from clerical finance to analytical
Source: SAP
Top is above section what is already delivered
GR/IR cockpit
Below line - what is coming in 1-2 years
Predictive PO; analyze org change impacts
Source: SAP
Road map - in house procurement
Integrate Ariba better and Fieldglass
Source: SAP
Upcoming is Fiori app for sales order; one of the most central objects
Create sales order from unstructured data
Cash application for contract accounting
Source: SAP
Integrating with customer service capabilities
Ticket categorization is planned with machine learning
Source: SAP
Highlight is real time inventory; exception management is costly for inventory - avoid in first place
Trying blockchain for ocean shipping (controlling the title)
Overview pages for transportation management (will have insight to action)
Source: SAP
MRP cockpit
Demand driven
Source: SAP
Machine learning classification for documents
Source: SAP
Asset Management; building Fiori
Source: SAP
More functional details for 1909
Take intelligence serious; across all functional domains
Source: SAP
Integration - started building out amongst all of SAP solutions
With SuccessFactors, Cloud for Customer
Charter projects with charter clients
To allow customers to integrate rapidly
Source: SAP
How to integrate experience management with S/4HANA
Combination of 2 data sets will make a difference
Getting feedback on a product launch, feedback, will drive faster innovation cycles
Source: SAP
Operational excellence, one code line "leverage best of both worlds"
Tools have improved
Source: SAP
One code line is how execute
Cloud or on premise is a choice
Cloud is about standardization
Source: SAP
Focus on how you can implement
Program - S/4HANA movement, looking into overall chain of how implement
Define strategy - business value advisor, white paper, customer success flipbook
S/4HANA manifesto - joint learning of several projects - conversion or new install?
Custom code adaptation improved
Analyzed most impacted simplification items, and started improved tools
Guide of how to react on certain inconsistencies in finance migration
Invested in down time optimization
Source: SAP
1909 is coming in September; in last days of development
Next year 2 feature packages
Link to the road map is here
Replay is here.
Q&A
Q: Intelligent embedded in S/4HANA - do customers have to buy Leonardo?
A: Optional
Q: Is automated migration available from SRM to S/4HANA?
A: No automation at this point; it is a project like taking it over
Q: Support life cycle for S/4HANA?
A: S/4HANA has a 5 year maintenance window
No communication about an end for S/4HANA
Q: C/4HANA vs S/4HANA sales functionality?
A: C/4HANA includes marketing and front office capabilities
S/4HANA is extended from traditional SD
Q: key difference between cloud S/4HANA and on-premise?
A: How consume, scope
Slides are attached here
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