week 1: introduction, overview, and business user unit 1

Week 1: Introduction, Overview, and Business User

Unit 1: SAP S/4HANA Embedded Analytics –

Overview

2PUBLIC© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP S/4HANA embedded analytics – Overview

Welcome to the course

In the following 5 weeks, you’ll learn about:

▪ The SAP S/4HANA embedded analytics concept

▪ The most important architectural paradigms

▪ The user types: business user and analytics specialist

▪ Predefined analytical apps and other business content

▪ Embedded predictive and machine learning in

SAP S/4HANA

▪ Concepts for data integration between SAP S/4HANA

and other solutions



SAP S/4HANA analytics overview

▪ Provide embedded insights in the solution, optimally support business users in defined business processes with decision support and information at the user's fingertips

▪ Integrate seamlessly into the enterprise intelligence offerings such as SAP Analytics Cloud and SAP BW/4HANA

▪ Provide real-time access to solution data as well as replication of data and blending with multiple other sources for end-to-end enterprise intelligence

SAP Analytics Cloud, for

Enterprise Planning

and BI

SAP BW/4HANA,

SAP Data Warehouse

Cloud

SAP AnalyticsSAP S/4HANA

SAP S/4HANA embedded analytics, powered by SAP Fiori and SAP Analytics

▪ SAP Fiori analytical apps for the business user

▪ SAP Fiori extensibility apps for the analytics specialist

SAP HANA DB SAP HANA DB

See also:

Units on predefined analytics content in weeks 1 and 3

SAP S/4HANA – Virtual Data Model

Spend off-

contractIncoming

sales order

….PO avg.

delivery time

Non-managed

purchasing spend

Real-time access to

SAP S/4HANA data

Data replication of

SAP S/4HANA data

(both using the virtual

data model)



High level architecture

Persistency

Modeling

Visualization

Access

Database tables

on SAP S/4HANA

ABAP-CDS-Models

OData services Transient analytical queries

Database tables

on SAP HANA

SAP Data Warehousing

(SAP BW/4HANA + SAP

Data Warehouse Cloud)

SAP Analytics

Inter-

operability

SAP S/4HANA Cloud

SAP Fiori UI

Embedded

SAP Analytics Cloud

(OEM)

SAP Analytics

Cloud

See also:

Unit on architecture in week 1


SAP Analytics

▪ separate products/services

▪ direct access to SAP S/4HANA data

▪ Dashboards and Digital Boardrooms developed

by SAP S/4HANA, available for SAP Analytics

Cloud


Overview of current offering per user type

SAP S/4HANA Business User: Analyze the data and act according to insights

SAP S/4HANA IT User: Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

SAP S/4HANA Analytics Specialist: Enable the Busines User

View maintenance:

ABAP for Eclipse

KPI and report

modeling apps

SAP Analytics

Cloud

Other SAP BI

Products:

Examples: Analysis

for Office, Design

Studio, …

Smart

Business KPIs,

analysis path

apps

Embedded

SAP Analytics

Cloud

dashboards

Analytical list

pages

Overview

pages

Analytical

SAP Fiori

apps

Key user tooling

(e.g. Query Designer)


An important place for information on SAP Fiori apps: SAP Fiori Apps Reference Library


Demo

https://fioriappslibrary.hana.ondemand.com/sap/fix/externalViewer/



Capabilities for the business user

Overview PagesSmart Business KPIs

• Consolidated view on a certain domain, e.g. Purchasing

• Information presented in analytical tables and charts

• Take action in the same place or navigate to other apps

• Save personal variants

Multidimensional Reports

• KPI monitoring on SAP Fiori launchpad

• Drill-down into further analytical or transactional apps


• Generic approach to mix analytical and transactional activities

• Display table or chart or a combination

• Take action directly in the same app or navigate to other apps


• Analyze and visualize data from multiple dimensions

• Display pivot-table or chart or a combination


Dashboards

• SAP S/4HANA: Optional, additional content, stories (SAP

S/4HANA data only) shipped via analytics content repository

• Used as templates, customers will copy and adapt

• SAP S/4HANA Cloud: Fiori-embedded SAP Analytics Cloud

content, stories come as part of SAP S/4HANA Cloud apps.

• Queries supplying the data are shipped with SAP S/4HANA

Analytical List Pages

Powered by SAP Analytics Cloud

In-App Analytics and ML

• Combine analytics with transactional content in one screen

• Insight-to-action to prioritize based on facts

• Use drill-downs to determine transactional input parameters



The analytics specialist persona

▪ Uses tools provided through analytics specialist role to

create and deploy new queries, reports, KPIs,

dashboards.

▪ Skill profile more business-focused, not IT-focused.

▪ Examples of typical tasks:

−Create new data sources

−Create new queries

−Define and deploy KPIs to business catalogs

−Design and deploy embedded SAC dashboards to

business catalogs

−Create new date functions for use in all sorts of

reports

−…

See also:

Unit on Analytics Specialist Features in week 2



End-to-end scenario diagram: analytics extensibility

1. Identify data source in

the virtual data model

2. Custom VDM views

3. Analytical query

4. KPI / report

creation

5. Publish to end-user/SAP Fiori

catalogs (or for external use)

6. Transport

View Browser

Search VDM view1

Custom VDM Views

Create VDM view and publish2

External Consumption

Create custom communication

scenario and arrangement

5.2

Report / KPI Design

4.1.1 Create report

4.1.2 Create KPI

4.1.3 Create embedded SAP Analytics Cloud dashboard

4.1.4 Create SAP Fiori app and publish report

4.1

Multidimensional Report

Create a multi-dimensional report

application (analytical query app)4.2

Custom Catalog Extension

Add app to SAP Fiori catalog and

publish

5.1

Custom Analytical Queries

Copy or create query, publish3

Export/Import Software Collection

Transport to production system6



Financial planning and analysis for SAP S/4HANA – The suite

Company

Cost Center

Job Location

Roadmap item

Company

Profit Center

Customer

Product Plant

Company

Cost Center

Asset Class

Project

Company

Cost Center

Profit Center

Functional Area

Roadmap item

“Top-level Model”

See also:

Unit on Planning in week 3



Intelligent technologies assist, adapt, and automate end-to-end business processes

Core capabilities

▪ Assist data-driven decision-making

▪ Adapt business processes in real time

▪ Automate processes within and between systems

Key principles

▪ Scalable enterprise-grade AI

▪ Tangible business outcomes

▪ Trusted data and intelligent recommendations

▪ Integrated technologies and processes

Continuous learning from business data leads to

continuous improvement of business processes

See also:

Units on Predictive and ML in week 4



Data integration – Bird’s eye view

SAP S/4HANA Cloud

SAP Business

Warehouse powered

by SAP HANA &

SAP BW/4HANA

SAP Data Intelligence

Other SAP solutions

3rd party analytics &

data persistency tools

…

Pre

de

fin

ed

Ex

tra

cti

on

CD

S V

iew

s

Tra

nsfe

r P

roto

co

ls: C

DI,

AB

AP

Pip

elin

e (W

eb

RF

C),

SO

AP

(R

FC

)

Data

replication

(data is

copied)

and/or

Data

federation

(remote-

access)

Use Cases:

▪ Business Process

Intelligence

▪ Product Footprint

Management

▪ Industry-specific content

▪ Customer-managed

cross product reporting

▪ Consolidation of data

from multiple SAP

S/4HANA instances/

tenants

▪ …

See also:

Units on Data Integration in week 5



Architecture overview

APISOAP

(RFC)

CDI

(OData

)

ABAP Pipeline

(Websocket

RFC)

SAP S/4HANA CloudData Integration Model

Extraction Runtime (ODP/ODQ, CDC, Reconstruction)

CDS Extraction View

Internal CDS View Model

Table

SAP S/4HANA

SAP S/4HANA CECommunication

Scenario

SAP_COM_0042 SAP_COM_0532

Consumers/Clients(not exclusively,

others possible)

SAP Business

Warehouse

powered by

SAP HANA &

SAP BW/4HANA

SAP Data

Warehouse Cloud

SAP Data

Intelligence

SAP_COM_0531

SAP HANA

Scenario 35D 53M 53L

1 2 3 4

See also:

Units on Data Integration in week 5

https://help.sap.com/viewer/0f69f8fb28ac4bf48d2b57b9637e81fa/2011.500/en-US/7d2bae1d9f2643c3bbaa398df8256c01.html?q=SAP_COM_0042

https://help.sap.com/viewer/0f69f8fb28ac4bf48d2b57b9637e81fa/2011.500/en-US/f509eddda867452db9631dae1ae442a3.html

https://help.sap.com/viewer/0f69f8fb28ac4bf48d2b57b9637e81fa/2011.500/en-US/4a006b43551d4cb5aed6399c0ace6b98.html

https://rapid.sap.com/bp/#/browse/scopeitems/35D

https://rapid.sap.com/bp/#/browse/scopeitems/53M

https://rapid.sap.com/bp/#/browse/scopeitems/53L


SAP S/4HANA 2020 OP

SAP S/4HANA Cloud 2105

SAP Docu

Books

SAP S/4HANA embedded analytics

SAP S/4HANA embedded analytics – User Roles

Machine Learning and Predictive Analytics with SAP S/4HANA

Implementer’s Guide to S4-based Financial Planning & Analysis

for SAP S/4HANA using SAP Analytics Cloud

SAP S/4HANA Embedded Analytics – A Step Ahead and Beyond |

SAP Blogs

Part 1 – SAP S/4HANA Cloud Data Integration to power your

Intelligence Enterprise

Part 2 – SAP S/4HANA Cloud Data Integration Overview

Creating Dynamic Date filter using the Manage Date Function App

Six reasons why Web Dynpro is Better than Design Studio in SAP

S/4HANA Cloud

Blogs

YouTube: SAP S/4HANA Cloud

SAP Fiori Apps Reference Library

Others


Where to find more information

https://help.sap.com/viewer/product/SAP_S4HANA_ON-PREMISE/2020/en-US?task=discover_task

https://help.sap.com/viewer/product/SAP_S4HANA_CLOUD/2105.500/en-US?task=discover_task

https://blogs.sap.com/2021/01/29/sap-s-4hana-embedded-analytics/

https://blogs.sap.com/2021/03/15/sap-s-4hana-embedded-analytics-user-roles/

https://blogs.sap.com/2020/12/25/resources-and-journey-to-machine-learning-with-sap-s-4hana/

https://blogs.sap.com/2021/01/29/implementers-guide-to-best-practices-for-financial-planning-and-analysis-for-sap-s-4hana/

https://blogs.sap.com/2021/04/12/sap-s-4hana-embedded-analytics-a-step-ahead-and-beyond/

https://blogs.sap.com/2021/04/19/part-1-sap-s-4hana-cloud-data-integration-to-power-your-intelligence-enterprise/

https://blogs.sap.com/2021/05/12/part-2-sap-s-4hana-cloud-data-integration-overview/

https://blogs.sap.com/2021/03/19/creating-dynamic-date-filter-using-the-manage-date-function-app/

https://blogs.sap.com/2021/03/18/six-reasons-why-web-dynpro-is-better-than-design-studio-in-sap-s-4hana-cloud/

https://www.youtube.com/channel/UC8cXSTGDhiZK5229zi-KTXA?app=desktop


https://www.sap-press.com/sap-s4hana-embedded-analytics_5226/

https://www.sap-press.com/implementing-machine-learning-with-sap-s4hana_5158/

https://www.rheinwerk-verlag.de/sap-s4hana-cloud-an-introduction/

https://www.rheinwerk-verlag.de/sap-s4hana-architecture/



Key takeaways

▪ SAP S/4HANA embedded analytics is not a single

feature but a concept of how to get insights to a

business user

▪ SAP S/4HANA embedded analytics comes with a lot

of predefined business content in the form of KPIs,

reports, queries, predictive scenarios, planning

scenarios, and more

▪ The main user types addressed by SAP S/4HANA

embedded analytics are business users and

analytics specialists

▪ The analytics specialist is a role that has all the tools

to create customer-specific analytics content

▪ SAP S/4HANA embedded analytics is well integrated

with other SAP Analytics offerings and makes none

of them obsolete

Thank you.

Contact information:

[email protected]

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Unit 2: Architecture Overview of Embedded

Analytics


Architecture overview of embedded analytics

Agenda

1. What is analytics from an architecture point of

view

2. Introduction to the virtual data model as the

basis for analytical modeling in SAP S/4HANA

3. Analytical technology stacks in SAP S/4HANA

4. Analytical design patterns in SAP S/4HANA



Components of analytical applications

Analytical queries

▪ The core asset of the analytics domain

▪ Describe the relevant relations in the data model, specific

calculations, authorizations, and configuration possibilities

Authoring tools and repository

▪ Provide the means for creating, testing, and managing

queries

Query execution engine

▪ Execution engine optimized for analytical queries in terms

of data model, performance, and semantics

Analytical UIs

▪ Enable dynamic configuration of the queries and

presentation of the results of execution

▪ Support analytical consumption patterns



Embedded vs enterprise (cross) analytics

Embedded Analytics

▪ All components on the previous slide share the same lifecycle of SAP S/4HANA

▪ Often, data, queries, and UIs are tightly coupled in one SAP S/4HANA application

▪ Often, queries are executed on the live data of the application optimized for transactional

processing

– Committed transactions are instantly visible for analytics

– Additional runtime resources for optimization of the queries

Enterprise Analytics

▪ Data has a different lifecycle to other analytical components:

– Data follows the lifecycle of SAP S/4HANA

– Other components have another lifecycle like in a separate data warehouse product

▪ Often, data is replicated and optimized for analytical processing

– Latency between data changes in the source system and replication (eventual consistency)

– Better possibilities for performance optimizations

▪ Enterprise analytics is not a part of this architecture overview



Virtual data model – Principles

The notion of virtual data model (VDM) applies to two related concepts in SAP S/4HANA:

▪ A collection of design principles for ABAP CDS views (or models) aimed to standardize the

implementation of common modeling patterns in SAP S/4HANA

▪ The set of CDS views in SAP S/4HANA following these design principles

VDM design principles

1. Naming rules for CDS models and element names. For instance, the VDM view I_CostCenter

represents the cost center entity in all SAP S/4HANA applications.

2. Enforcement of unambiguous element names through global technical names catalog (GFN). Thus,

the element CostCenter represents the cost center identifier in each and every model it is used in.

3. Specification of purpose of CDS views: analytical dimension, cube, search model, text, value help

etc.

4. Strict specification of the model lifecycle

– Stability contracts: if a view is safe to use in customer development

– Deprecation workflow: if a view or an element of a view should no longer be used and what to use

instead


Extension

View

Extension

View

Extension

View


Virtual data model – Technical components

Basic interface views

▪ Represent the core business entities of the SAP S/4HANA system

▪ Designed very close to the database tables – can be used instead of the table without

performance penalties

▪ Add semantics to the raw table data through aligned names and annotations

▪ Often designed for re-use and are subject to stability contracts

Composition interface views

▪ Combine together multiple basic interface views into a business component

▪ Implement business logic on SQL level

▪ Subject to stability contracts

Consumption views

▪ Implement the context-specific business logic

▪ Normally are not reusable outside of this specific context

Extension views

▪ Allow to add custom fields to the SAP models

▪ Normally are defined on the basic interface views and propagated up the stack

Metadata extensions

▪ Special CDS constructs for custom extensions on the metadata level (i.e. annotations)

Private views

▪ Implement the application-specific logic which is subject to frequent changes

▪ Should never be used explicitly outside of application development

Metadata Extension

Metadata Extension

Metadata Extension

Consumption

View

Basic Interface

View

Private View

Private View

Composition

Interface View


Cube

Hierarchy Dimension Text

Fact

Value Help


Analytical models in VDM

Cube

▪ A cube is normally a VDM composite interface view

▪ It joins together the facts and corresponding dimensions that are related

to a specific business domain

– It can use dedicated fact views to access the fact data on the

database

– It has a significant amount of associations pointing to the views

containing additional attributes for dimensions

Dimension

▪ A dimension is normally a basic interface view

▪ Contains additional attributes of a dimension and special metadata

describing it, including multilanguage texts, hierarchy definitions, and

value helps

Query

▪ Queries are implemented as consumption views

▪ A special metadata container for usage in OLAP scenarios:

– Selects a subset of dimensions and measures available in a cube

– Adds additional restricted and calculated measures

Query



Authoring tools for analytical models

View Browser

▪ List, search, and examine all CDS views available in

an SAP S/4HANA system

Custom View Builder

▪ Build different kinds of custom views on top of released

SAP models, including cubes and dimensions

Custom Analytical Query

▪ Build custom analytical queries on top of cubes and,

occasionally, dimensions

Manage KPIs and Reports

▪ Create different kinds of analytical SAP Fiori

applications (KPIs, reports, and SAC stories)

SAC Story Designer

▪ Design the content of an embedded story



Execution engines

SADL (Service Adaptation Definition Language)

▪ Main SAP S/4HANA engine for processing OData requests

▪ Supports analytical OData V2 and V4 functionality

▪ Can generally execute analytical OData requests on any

CDS view except analytical queries

ABAP Analytical Engine

▪ Special engine designed for OLAP processing in ABAP stack

▪ Implements the SAP proprietary INA protocol optimized for

analytical processing

▪ Uses special VDM artifacts called “analytical queries” for

support of advanced OLAP features like exception

aggregation and calculations

INA Stack

▪ Tools and models around the INA protocol

OData Stack

▪ Tools and models around the OData protocol



Analytical UIs

KPI▪ Represents a specific key performance indicator based on a highly aggregated query

▪ Often with a possibility of drill-down into detailed analysis of the KPI

▪ Implemented on the OData stack using both AE and SADL as execution engine

Dashboard▪ Provides an overview of a number of related KPIs, charts etc.

▪ Supports linked analysis based on shared filters and drill-downs

▪ Implemented using INA stack using embedded SAP Analytics Cloud

Multi-Dimensional Analysis▪ Offers slice and dice functionality on a set of data represented as a cube

▪ Implemented using INA stack using Web-Dynpro Grid

Analytical List Page and free-hand applications

▪ Offers specific patterns and controls for integration of analytical UIs and queries into arbitrary

SAP Fiori applications

▪ Implemented using OData stack using both AE and SADL as execution engine

Thank you.


[email protected]










warranty.














Follow all of SAP









Unit 3: Predefined Analytical Content – Overview


Predefined analytical content – Overview



(ondemand.com)




Current status of applications (content)

https://fioriappslibrary.

hana.ondemand.com/

sap/fix/externalViewer/

Area SAP S/4HANA

On Premise (1809)

SAP S/4HANA On Premise

(1909)

SAP S/4HANA Cloud Edition

(1911)


(2002)


(2005)


(2008)

SAP S/4HANA On Premise

(2009)

Finance 299 349 358 361 363 369 369

Procure 64 87 89 91 93 95 95

Public Services 20 63 71 71 71 71 71

Produce 38 56 56 57 57 57 57

MDM 13 38 39 41 41 41 47

Sustainability 11 38 38 39 40 40 40

Retail & Multichannel 11 35 35 35 38 38 38

SD 22 28 28 29 30 33 33

T&L – Transportation & Logistics 22 29 28 28 28 28 28

SAP S/4HANA Foundation and Cross 12 18 18 18 18 18 18

Oil & Gas 3 6 17 17 17 17 17

IDEA 14 14 14 14 15 15 15

Utilities 13 13 13 13 13 13 13

HPA – High Performance App 4 13 13 13 13 13 13

GS 0 8 9 9 9 9 9

Service Industries 4 8 8 8 8 8 8

Discrete Industries 0 4 4 4 5 7 7

DSC – Digital Supply Chain 3 6 6 6 6 6 6

S4CRM 0 3 5 5 5 5 5

HCM 1 4 4 4 4 4 4

Financial Services 1 3 3 3 3 3 3

CD – Customer Development 0 1 1 1 1 1 1

SUM 555 824 857 867 878 891 897

SAP Analytics Cloud Content 35 35 35 35




Best practices content

SAP Best Practices Explorer

https://rapid.sap.com/bp/#/BP_S4H_ANA



Scope options for SAP Best Practices for analytics with SAP S/4HANA Cloud

Scope Option Source System(s) Front-End Tool

Embedded Analytics for SAP S/4HANA Cloud* SAP S/4HANA On Premise

Enablement workshop demonstrating Analytics capabilities with SAP S/4HANA Cloud SAP S/4HANA Cloud and S/4 On Premise

Integration between SAP S/4HANA and SAP BW SAP S/4HANA On Premise SAP BW

Predictive Analytics in SAP Analytics Cloud with SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC

SAP S/4HANA Professional Services Cloud content w SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC, Dibo

SAP S/4HANA Cloud Procurement content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC, Dibo

SAP Financial Planning and Analytics for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo

SAP Liquidity Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC

SAP Project Budgeting & Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo

Embedded Machine Learning in SAP S/4HANA SAP S/4HANA On Premise

SAP S/4HANA Cloud Financial Consolidation content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC

SAP Workforce Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo

SAP S/4HANA Cloud Sales content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC

SAP Sales Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC

SAP S/4HANA Cloud Treasury Management Content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC

SAP S/4HANA Cloud Receivable management content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC

* Selection of 1 of these scope options is mandatory, the others are optionalLegendSAP SAC = SAP Analytics Cloud

SAP Dibo = SAP Digital Boardroom

SAP BW = SAP Business Warehouse

New in 2102



Business content

Business Content –

SAP Analytics Cloud |

SAP HANA Journey

https://saphanajourney.com/sap-analytics-cloud/sac-business-content/



Business Content Benefits


Pre-delivered Dashboards

▪ Aging Report for Accounts Payable

▪ Treasury Executive Dashboard

▪ Group Financial Statement

▪ Disputes

▪ Purchasing Spend Dashboard

▪ Contract and Lease Management

Dashboard

▪ Credit Management Reporting

▪ Collections Management Reporting

▪ Order-to-Cash Manager Dashboard

▪ Customer Returns Overview


Ready to use, pre-delivered standard dashboards with Embedded SAP Analytics Cloud



SAP Analytics value-based solution capabilities

ProcureFinance

▪ Accurate financial statements enable agility

▪ Accurate financial goals & business plans to

facilitate efficient and effective execution

▪ Monitor DSO to determine customer credibility

▪ Use margin analysis to gain valuable insights

as to the drivers of profitability

▪ Identify process improvements to increase

efficiency and manage risk

▪ True spend visibility for effective cost

management

▪ Manage supplier risks to ensure prompt deliveries

and improvement in customer satisfaction

▪ Management of purchase orders and vendor

spend to help reduce cost and improve

profitability

Produce Sales

▪ Manage inventory effectively for accurate

production

▪ Manage stock in transit for improved

cost control and customer satisfaction

(more on-time deliveries)

▪ Utilize accurate production costs in

profitability analysis

▪ Set targets and forecast future sales

performance using insights from sales

data, trends, and metrics

▪ Accurately forecast sales & profits based

on observed results

▪ Manage delivery schedules by monitoring

delivery performance to improve customer

satisfaction. Va

lue

Dri

ve

rs

1. Maximize the value of SAC as a flexible tool and provide templates that help the customer build analytics targeted at their specific business requirements.

This is the current state of planning and may be changed by SAP at any time.Note: Predictive Analytics highlighted in yellow

Analytics

▪ Optimize invoice payment process (AP)

▪ Financial status, foreign exchange rates

G/L (TRM)

▪ G/L Accounting Transactional Analysis

▪ Asset Accounting Analysis

▪ Profitability Margin Analysis

▪ Year-Over-Year Growth Analysis

▪ Actual v Plan Variance Analysis

▪ Balance Sheet Analysis

▪ Cash Flow Analysis

▪ Financial KPI Analysis (Dynamic)

▪ Days Payable Outstanding Analysis

▪ Day Sales Outstanding Analysis

▪ Trend Cost Analysis

▪ Profit & Loss Analysis

▪ Financial Consolidation for Group Reporting

Guided Analytics / Templates1

▪ Finance Contract Accounts Analysis

Analytics

▪ Purchase Requisition Item Analysis

▪ Supplier Performance Analysis

▪ Purchasing Spend Analysis

▪ Non-managed Spend Analysis

▪ Off-Contract Spend Analysis

▪ Monitor Scheduling Agreements Analysis

▪ Central Contract Analysis

▪ Purchase Order Value Analysis

▪ Contract Consumption Prediction

▪ Supplier Delivery Prediction

▪ Cash Discount at Risk Prediction

▪ Supplier Evaluation Trend Analysis

▪ Off-Contract and Spend Visibility

▪ Service Spend Analysis

Guided Analytics / Templates1

▪ Sourcing – Spends and Suppliers Award Analysis

▪ Validity of Contracts Analysis

▪ Buyer Network Analysis

Analytics

▪ Stock Champion Analysis

▪ Overdue Material Delivery Analysis

▪ Blocked Invoice Payment Analysis

▪ Actual vs Plan Variance Analysis

▪ Work Center Cost Variance Analysis

▪ Inventory Stock Analysis

▪ Outbound Delivery Performance Analysis

▪ Scrap Amount Variance Analysis

▪ Stock-in-Transit Analysis

▪ Defective Materials Analysis

▪ Demand Driven Replenishment Prediction

▪ Production Cost Analysis

Analytics

▪ Central Stock with Returns Analysis

▪ Managing Sales Quotations

▪ Sales Volume, Profit Margin, Net Sales Cost

and Open Sales Analysis

▪ Customer Returns Analysis

▪ Incoming Orders vs Open Orders Variance

Analysis

▪ Backorders – Sales Order Confirmation

Situation Analysis

▪ Delivery Performance Analysis

▪ Predict Conversion of Sales Quotations

to Sales Orders

▪ Predict Sales Forecasts

▪ Delivery Performance: Predict Delivery

Delay


Pre-delivered content


Demo



Key takeaways

Business Applications

Industry

Solutions

Lines of

Business

Enterprise

Resource

Planning

Analytics

Database & Technology

Cloud

Innovation adoption at scale, your way

▪ Preconfigured cloud and on-premise solutions

▪ Across SAP’s solution portfolio

▪ Based on proven business best practices

▪ Simple to deploy with a proven methodology

▪ With predictable time and effort

▪ Delivered by SAP and partners

SAP Best Practices

User Experience and Mobility



Key takeaways

▪ Get a jump-start for your implementations with SAP Best

Practices

▪ Deploy SAP innovations quickly, simply, and flexibly

▪ Use SAP’s tested and proven methodology with

prescriptive guidelines

▪ Take advantage of preconfigured business content

▪ Protect your on-premise investment with extensions to

the cloud

▪ Move up on the path to the cloud from preassembled

trials to productive use

Fast time to value

Predictable results

Simple on-boarding

to cloud

Thank you.


[email protected]










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Unit 4: Using Multidimensional Reports


Using multidimensional reports






Enterprise Planning

and BI

SAP BW/4HANA,

SAP Data Warehouse

Cloud







Spend off-

contractIncoming

sales order

….PO avg.

delivery time

Non-managed

purchasing spend

Real-time access to

SAP S/4HANA data

Data replication of

SAP S/4HANA data


data model)



Recap – The business user persona

▪ Uses SAP S/4HANA embedded analytics in the context of a business process

or line-of-business departmental activities, typically no IT background.

▪ Here are a few of many examples (have a look at

https://fioriappslibrary.hana.ondemand.com/sap/fix/externalViewer/):

− Material planner:

SAP Fiori app in SAP S/4HANA: Stock Availability Analysis for Just-In-Time

Calls, F3923

− Purchaser:

SAP Fiori app in SAP S/4HANA: Manage Purchase Requisitions, F1048

− Collection supervisor:

SAP Fiori app in SAP S/4HANA: Supervise Collections Worklist, F2375

− Sales clerk:

SAP Fiori app in SAP S/4HANA: Sales Order Fulfillment Issues, F0029A



SAP Analytics





Cloud



Multi-

dimensional

reports

SAP S/4HANA Analytics Specialist: Enable the Business User

View maintenance:

ABAP for Eclipse

KPI and report

modeling apps

SAP Analytics

Cloud

Other SAP BI

Products:

Examples: Analysis

for Office, Design

Studio, …

Smart

Business KPIs,

analysis path

apps

Embedded

SAP Analytics

Cloud

dashboards

Analytical list

pages

Overview

pages

Analytical

SAP Fiori

apps

Key user tooling



Recap – Overview of current offering per user type

we are here



















Dashboards




• SAP S/4HANA Cloud: SAP Fiori-embedded SAP Analytics Cloud

content, stories come as part of SAP S/4HANA Cloud apps








Recap – Capabilities for the business user

we are here


Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

▪ Slice and dice, sort, filter

▪ Subtotals at any level

▪ Drill down, drill across

▪ Swap rows and columns

▪ Display chart and table

▪ Save personalized views

▪ Navigate to other SAP Fiori

apps


Business user: analyze the data and act according to insights


Typically used

▪ For insight-driven, explorative, and flexible

analysis of large amounts of data

▪ For data centered around one specific topic,

such as sales orders, purchase orders,

G/L line items, cost center reporting,…

▪ Examples of SAP Fiori apps: − Incoming Sales Orders (F1249, role

SAP_BR_SALES_MANAGER)

− Cost Centers – Actuals (F0963A, role

SAP_BR_OVERHEAD_ACCOUNTANT)



SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

Multi-

dimensional

reports


How to use multidimensional reports


Demo



Key takeaways

▪ A multidimensional app in general works like a very

elaborate pivot table.

▪ The user can explore the data using slice and dice,

filtering, sorting, showing subtotals, and viewing the

data in a chart.

▪ From the data in a multidimensional report, the user can

easily navigate to other SAP Fiori apps, while keeping

the context like the selected ID.

▪ The result set of a multidimensional report can be

extensively personalized. The personalization is saved

in variants.

▪ A certain variant can be set as the default. Variants can

also be shared with others by making them “public”.

▪ The role of the analytics specialist has all the tools to

create additional, customer-defined multidimensional

reports.




SAP S/4HANA 2020 OP


SAP Docu

Books







SAP Blogs






S/4HANA Cloud

Blogs



Others


















Thank you.


[email protected]










warranty.














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Unit 5: Using KPIs and Embedded SAP Analytics

Cloud


Using KPIs and embedded SAP Analytics Cloud






Enterprise Planning

and BI

SAP BW/4HANA,

SAP Data Warehouse

Cloud







Spend off-

contractIncoming

sales order

….PO avg.

delivery time

Non-managed

purchasing spend

Real-time access to

SAP S/4HANA data

Data replication of

SAP S/4HANA data


data model)




▪ Uses SAP S/4HANA embedded analytics in the context of a business process

or line-of-business departmental activities, typically no IT background.





Calls, F3923

− Purchaser:




− Sales clerk:






SAP Analytics





Cloud



Multi-

dimensional

reports


View maintenance:

ABAP for Eclipse

KPI and report

modeling apps

SAP Analytics

Cloud

Other SAP BI

Products:

Examples: Analysis

for Office, Design

Studio, …

Smart

Business KPIs,

analysis path

apps

Embedded

SAP Analytics

Cloud

dashboards

Analytical list

pages

Overview

pages

Analytical

SAP Fiori

apps

Key user tooling


we are here





















Dashboards












we are herewe are here


▪ KPI tiles on SAP Fiori launchpad providing

quantitative information

▪ KPI details with various drill-downs by selected

dimensions

▪ Personalization and “Save as tile” of the KPI

details

▪ Instead of KPI details (default), navigation from

the KPI tile to an analysis path or any other

SAP Fiori app can be configured

▪ Modification-free adaptation of predefined KPIs



Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

Typically used

▪ For providing highly aggregated information to

indicate a business situation, complemented

with trend and status information

▪ To initiate an insight-driven analysis process

and to trigger follow-up action

▪ Examples: − Spend Variance (F1377, role SAP_BR_BUYER)

− Overdue Receivables (F1747, role

SAP_BR_AR_MANAGER)


How to use KPIs


Demo


SAP Analytics Cloud is a next-generation BI solution that allows business users to analyze, simulate, plan, discover,

predict, and collaborate all in one place.

It can be seamlessly embedded into the SAP Fiori UI of SAP S/4HANA to enable unprecedented ease and speed

powered by

SAP Analytics Cloud

SAP S/4HANA Cloud

Seamless

navigation between

analytical and

transactional apps

Based on live data

connections, for

replication-free

access

Pre-built standard

dashboards

Embedded in

SAP Fiori user

experience


SAP S/4HANA embedded analytics powered by SAP Analytics Cloud

Integrated in SAP S/4HANA role

and screen variant management




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

▪ SAP Analytics Cloud dashboards (aka

“stories”) based on SAP S/4HANA live data

▪ Embedding the feature-rich SAP Analytics

Cloud dashboard functionality into the

SAP Fiori user experience

▪ Personalization options in setting filters and

parameters and saving them in “variants”

▪ Comprehensive overviews on a given topic;

dashboards can have multiple pages




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

Typically used

▪ For a comprehensive overview on a business

process or unit, with data from multiple queries

▪ For manager roles and for advanced

visualization, e.g. using geo maps

▪ Examples: − Treasury Executive Dashboard (F4316, role

SAP_BR_TREASURY_RISK_MANAGER)

− Customer Returns Overview (F4561, role

SAP_BR_SALES_MANAGER)


How to use embedded SAP Analytics Cloud dashboards


Demo



Key takeaways

▪ For providing highly aggregated information including a

status and trend indication, SAP Smart Business KPIs

are the ideal feature in SAP S/4HANA embedded

analytics.

▪ From the KPI tile on SAP Fiori launchpad, the user will

typically launch the standard drill-down application,

which can be personalized to a high degree.

▪ Also other apps can be executed directly from the KPI

tile, depending on the configuration.

▪ With SAP Analytics Cloud, embedded edition, SAP

S/4HANA provides dashboards (“stories”) that are

seamlessly integrated into the SAP Fiori UI and

navigation concept.

▪ Dashboards can be personalized and multiple

“variants” of e.g. filter settings can be stored per user.

▪ For both types of apps, SAP S/4HANA comes with

predefined business content for various business roles.




SAP S/4HANA 2020 OP


SAP Docu

Books







SAP Blogs






S/4HANA Cloud

Blogs



Others


















Thank you.


[email protected]










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Follow all of SAP









Unit 6: Using Analytical List Pages and Overview

Pages


Using analytical list pages and overview pages






Enterprise Planning

and BI

SAP BW/4HANA,

SAP Data Warehouse

Cloud







Spend off-

contractIncoming

sales order

….PO avg.

delivery time

Non-managed

purchasing spend

Real-time access to

SAP S/4HANA data

Data replication of

SAP S/4HANA data


data model)




▪ Uses SAP S/4HANA embedded analytics in the context of a business

process or line-of-business departmental activities, typically no IT background





Calls, F3923

− Purchaser:




− Sales clerk:






SAP Analytics





Cloud



Multi-

dimensional

reports


View maintenance:

ABAP for Eclipse

KPI and report

modeling apps

SAP Analytics

Cloud

Other SAP BI

Products:

Examples: Analysis

for Office, Design

Studio, …

Smart

Business KPIs,

Analysis Path

apps

Embedded

SAP Analytics

Cloud

dashboards

Analytical list

pages

Overview

pages

Analytical

SAP Fiori

apps

Key user tooling


we are here





















Dashboards












we are here


▪ Visual filters to focus on the most important

areas

▪ User switch between complex, visual, facet filter

▪ Chart area for quick overview and drill-down,

charts can be personalized (30 chart types

available)

▪ Details area for operational details

▪ Navigation to other SAP Fiori apps that are

semantically linked to the data

▪ Personalized views

▪ Ideal for insight-to-action scenarios

Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

Typically used in situations

▪ of a rather transactional nature (creating,

updating, deleting objects)

▪ that require filtering and minimal analysis of the

data before taking action

▪ Examples:

− Supervise Collection Worklist (F2375, role

SAP_BR_AR_MANAGER)

− Event-Based Revenue Recognition (F2129,

role SAP_BR_SALES_ACCOUNTANT)




How to use analytical list pages


Demo




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

▪ Most important information at a glance

▪ Combination of analytical and transactional information

▪ More detailed information available with one click

▪ Navigation to other SAP Fiori apps that are semantically

linked to the data

▪ Filter settings affect the data in all cards

▪ Visibility and sequence of cards can be personalized




Multi-

dimensional

reports

SAP Smart

Business

KPIs

Analytical

SAP Fiori

apps

Overview

pages

Embedded

SAP

Analytics

Cloud

dashboards

Analytical

list pages

Typically used

▪ for dashboards where (embedded) SAP Analytics is not an

option (e.g. because the customer is on-premise only)

▪ to provide a comprehensive overview and navigation options for

a certain topic or process (sales overview, supplier overview, …)

▪ Examples:

− Sales Management Overview

(F2601, role SAP_BR_SALES_MANAGER)

− Procurement Overview Page

(F1990, role SAP_BR_PURCHASER)


How to use overview pages


Demo



Key takeaways

▪ Analytical list pages are best suited for transaction-

driven scenarios with frequent insight-to-action

workflows.

▪ Analytical list pages can be comprehensively

personalized for the individual business user’s needs.

▪ Overview pages are delivered for monitoring all main

business processes.

▪ Personalization of overview pages works slightly

differently than for other analytical apps.

▪ SAP ships many predefined overview page and

analytical list page apps for various business roles.

▪ For analytical list pages, an app exists for the analytical

specialist to create own instances of such an app.




SAP S/4HANA 2020 OP


SAP Docu

Books







SAP Blogs






S/4HANA Cloud

Blogs



Others


















Thank you.


[email protected]










warranty.














Follow all of SAP








week 1: introduction, overview, and business user unit 1

Documents