S/4HANA and the Intelligent Enterprise 07.05.2020 Move-in ... · COEP ANEP MLIT… ANEA GLT0 LFC1 FAGLF LEXT* COSS ANLC MLCD… KNC1 LFC3 COSP ANLP MCLR… KNC3 BSIS BSID FAGL BSIS

S/4HANA and the Intelligent Enterprise

07.05.2020 Move-in-Motion

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Agenda


J a m e s B r i a n Q u i n n I n t e l l i g e n t E n t e r p r i s e ( 1 9 9 2 )

p o s i t s t h a t i n t e l l e c t i s t h e c o r e r e s o u r c e i n p r o d u c i n g a n

d e l i v e r i n g s e r v i c e s

«Esiste un legame preciso tra tecnologia e business…

Affinché l'impresa tecnologica abbia successo, è necessaria l'intelligenza dei

processi strategici attuati dai servizi umani…»

https://en.wikipedia.org/wiki/James_Brian_Quinn


Digitalization TodayDigitalization Today

Technology & Speed Customer

Expectations

Processes & Business Models



Technology & Speed



CustomerExpectations

Real Time Intuitive Customized

Unique Customer Experience



Processes & Business Modelschange everything …

… analyze

… communicate

… pay

… sell

… shop


The Intelligent Enterprise Framework

1 Intelligent Suite

3 Intelligent Technologies

2 Digital PlatformThe Intelligent Enterprise

features 3 key components:

Digital Platform

DataManagement

CloudPlatform

CustomerExperience

Manufacturing& Supply Chain

Digital Core PeopleEngagement

Network & SpendManagement

Intelligent Suite

IoT | Analytics | AI/ML | IPA

Intelligent Technologies


How new capabilities are enabled

only with SAP S/4HANA


Start with SAP S/4HANA to create end-to-end intelligent processes across

all lines of business and industries, take the next leap in automation of key

functions, and move first with machine learning investments by SAP

Insight and prediction

Industry best practices

Intelligent automation

2

3

1

Real-time

processing

Combined

transactions

and analytics

Simplified

data model

SAP HANA enables new capabilities

To become an Intelligent Enterprise, digital core is a

foundational requirement


Document

MATERIAL VALUES

VBAK

LIKP

PRCD_

Elements

(new)

VBFA

(Simplified)

VBAP

KIPS

VBRPVBRK

BKPF BSEG

ACDOCA

FAAT_

DOC_IT

FAAT_

YODA

FAAT_

PLAN_

VALUES

MARD

MATDOCMATDOC_

EXTRACT

MCHB

MSKA

MARC

MKOL MSPR

MSKU

MSLB

Used for Master Data only

MLDOC

MLDOCCCS

MBEW

EBEW

QBEW

OBEW

ML

Valuation

Used for

Master

Data only

CKMLKEPH

CKMLPPWIP

SALES FINANCE

Document

Header Item

MATERIAL QUANTITIES

Material Document

IndicesTotals

MATERIAL VALUES

Valuation in MM or Valuation ML

Aggregates

Hybrid: Master Data

with Valuated Stock

MBEW

EBEW

QBEW

OBEW

MBEWH

EBEWH

QBEWH

OBEWH

MLPP

MLCR

MLCRF

MLKEPH

CKMLCR

CKMLPP

MLHD

MLIT

History

MARD

MKPF MSEG

MCHB

MSKA

MSSA

MSTE

MARC

MKOL

MSSL

MSTQ

MSPR

MSSQ

MSTB

MSKU

MSLB

MSSAH

MSTEH

MARCH

MSLBH

MSKAH

MSTBH

MSTQH

MARDH

MCHBH

MSKAH

MSSQH

MKOLH

MSKUH

Aggregates

Stock Aggregates History

Inventory Movements Hybrid: Master Data with Stock Aggregates

SAP Business Suite

GL, AR, AP

New GL

CO

AA

ML

Sales Order

Delivery

Billing Document

Status Info

Conditions

Document Flow

KONV

VBFA

Header Item

CKMLPP

CKMLCR

MLCD

CKLMMV004

CKMLMV004

BKPF

ANEK

BSEG

FAGLF

LEXA*

COEP

ANEP

MLIT…

ANEA

GLT0

LFC1

FAGLF

LEXT*

COSS

ANLC

MLCD…

KNC1

LFC3

COSP

ANLP

MCLR…

KNC3 BSIS

BSID

FAGL

BSIS

BSIM*

BSAS

BSAD

FAGL

BSAS

CKMI1*

BSIK

BSAK

COBK

MLHD…

VBAK

LIKP

VBAP

LIPS

VBRP

VBUP

VAKPA

VLKPA

VRKPA

VBOX

VAPMA

LKPMA

VRPMAVBRK

VBUK

Simplifying database & table structures to prepare for scale


SAP S/4HANA supports the intelligent enterprise through four key pillars

SAP S/4HANAYour trusted path to an intelligent enterprise

Intelligent

Automation

Artificial intelligence and

robotic process automation

eliminate more than half

of manual tasks

Digital Age User

Experience

Digital assistance and

natural language

conversations for increased

productivity and user

satisfaction

New Business

Models

Rapidly design and execute

new business models and

digital services, based on

advanced end-to-end

processes

End-to-end Analytics

& Real-time guidance

Context aware, real time,

predictive insights so you

can make better decisions,

adjustments, faster


Single analytics platform connecting all parts of your enterprise

for one version of the truth

Integrated into one user experience

versus separate tools and data sources

Embedded where you work

for real-time planning, analysis, and execution

Analytics Embedded in SAP S/4HANA transactionsFor financial planning and analysis:

• no data replication required

• data never leaves the firewall

• real-time access to transactional data

For supply-chain management:

• real-time transparency on inventory

• improved effectiveness of planning with demand-driven MRP

End-to-End analytics with SAP S/4HANA + SAP Analytics Cloud




Intelligent

Automation




of manual tasks

Digital Age User

Experience


natural language



satisfaction

New Business

Models




advanced end-to-end

processes


& Real-time Steering




adjustments, faster


Example: Regular Transfer posting – SAPGUI in S/4HANA

• Menu based navigation (or

Tcodes)

• SAPGUI can be used for

the majority of the

transactions.

• Some transactions have

been removed as part of

simplification (e.g.

Customer/Vendor replaced

by business partner).

• No contextual information

(current inventory). Need

to run other transactions to

see inventory levels

Select dropdowns to search for

source and target locationsSelect the correct movement type


Example: Regular Transfer posting – NEW FIORI

Embedded

Analytics

Select Source

location Select Target

location

Enter quantity and

post

• Embedded Analytics

provides important

contextual information

(e.g. inventory by

location and status and

inventory summaries)

• Simplified experience

with fewer clicks to

select source and

target locations and

statuses.

• Automatic movement

type determination

based on parameters.

• Innovations with new

FIORIs (including KPI

overview pages,

embedded analytics

etc.) only available in

FIORI




Intelligent

Automation




of manual tasks

Digital Age User

Experience


natural language



satisfaction

New Business

Models




advanced end-to-end

processes






adjustments, faster


Implementing Machine Learning in SAP S/4HANA

DataCollect Data, Prepare,

Calculate & Consolidate

Design ML Model

using Algorithms

Proposed Accruals

Smart Collaboration with

Co-Pilot

Recommendations in

GR/IR Cockpit

Relevance & Rank items

to Propose Contracts

TrainIncrease the

predictive

confidence and

predictive power

during continuous

evaluation, validation

and fine tuning

Use Case Idea




Intelligent

Automation




of manual tasks

Digital Age User

Experience


natural language



satisfaction

New Business

Models




advanced end-to-end

processes






adjustments, faster


The Impact

• No-touch billing process

• Increased utilization of skilled labor

• Reduced compressor downtime

• Increased Customer Satisfaction

Imagine: Products as a Service

Imagine

• Hoerbiger needed to switch from selling

wellhead compression units to customers to

selling compressor time as a high value

service while increasing asset utilization

What’s Possible

• Automated usage monitoring using IoT

• Automated Billing leveraging usage data

• Predictive maintenance using IoT data

• Mobile devices for field service technicians with real-

time access to data and real-time updates to backoffice

Legacy Approach

• Skilled resources travel great distances to the oil

wells to check condition and usage

• Paper based service tickets and inventory tracking

• Manual data entry to support billing

• Breakdowns causing unplanned downtime

Explore your value: http://impact.s4value.comUsing S/4HANA, SAP Cloud Platform, C/4HANA
http://impact.s4value.com/

Documents

S/4HANA and the Intelligent Enterprise 07.05.2020 Move-in ... · COEP ANEP MLIT… ANEA GLT0 LFC1 FAGLF LEXT* COSS ANLC MLCD… KNC1 LFC3 COSP ANLP MCLR… KNC3 BSIS BSID FAGL BSIS