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&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