guide your sap s/4hana project to success unit 8

Guide Your SAP S/4HANA Project to Success

Unit 8: Reporting and Analytics – Starting the

Journey

2PUBLIC© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Reporting and Analytics – Starting the Journey

Question 1

“Is updating my reporting

strategy important, and

why?”



Update your reporting and analytics strategy

Your strategy will be important

▪ Context to your journey

▪ Roadmap for your journey

▪ Alignment to tools

▪ High level architecture

▪ Scope for reporting and analytics

▪ What to do where

▪ Self service

▪ Living document

▪ Pragmatic, else no one will read

▪ …



Question 2

“What are my first

actions for SAP

S/4HANA reporting?”



First action items – Pragmatism

I can’t see the forest for the trees; where to start?

▪ Despite the diversity of the supporting portfolio, let’s go back to basics

▪ Refresh your strategy and roadmap in line with your SAP S/4HANA

journey and SAP portfolio

▪ Focus on a journey to SAP S/4HANA

▪ What is the scope of your journey? Contain your immediate actions to

that scope

▪ What will be impacted by the journey, what needs addressing, what can

you take advantage of?

Above all… be pragmatic: Rome was not built in a day



First action items – The right mindset

What are your thoughts?

▪ Phased

▪ Big bang

▪ Steady-as-she-goes

▪ Opportunistic

▪ Hungry for innovation

▪ Low risk, conservative

▪ Culture shift to latest

Updated strategy

▪ Showcase intentions

▪ Will provide context

▪ Greater visibility

▪ Sketch the future

Plan for detail

▪ Embedded analytics

▪ Cloud

▪ User experience

▪ Visualization

▪ Self service

▪ Scalability

▪ Innovation



Question 3

“What is embedded

analytics anyway?”



Embedded analytics – Addressing operational reporting and more

Entry Point

Gain immediate overview from landing page, navigate

easily to your most relevant apps

Insights and Actions

Gain insights and decide what action to take,

trigger quick actions or drill down to related apps

Explore and Act

View details and perform actions,

easily navigate to related apps


Consolidated view on a certain domain,

e.g. Purchasing

KPI monitoring on the SAP Fiori launchpad

Combine analytics with transactional

content in one screen

Generic approach to mix analytical and

transactional activity

Analyze and visualize data from multiple

dimensions

Optional, SAP Analytics Cloud additional

content for SAP S/4HANA

Smart Business KPIs

In-App Analytics and ML

Overview Pages

Multidimensional Reports Dashboards

Analytical List Page


Embedded analytics – Offering for the business user


View BrowserManage KPIs and Reports

Search, browse, and tag analytical and non-

analytical queries

Custom Analytical Queries

Custom CDS Views

Manage Date Functions Predictive Scenarios

Smart Business KPI & Report Modeler Create your own data access by making

use of a custom CDS view

Custom Analytical Queries develops

multidimensional report

Define date types with relative context Create and publish predictive ML scenarios


Embedded analytics – Offering for the analytics specialist (selection)



Question 4

“Can embedded

analytics resolve all

my reporting needs?”



Analytics – Understanding use cases and constraints

Additional functionality outside of SAP S/4HANA

Embedded functionality in SAP S/4HANA

Planning

Engine

Predictive

Engine

Pixel-True

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel In-App

Integration

Self-Service

BI

Digital

Boardroom…

SAP S/4HANA

Embedded Analytics



Question 5

“Given embedded

analytics, do I still need

an EDW system?”



The role of BW/EDW

SAP S/4HANA embedded analytics

▪ Operational data

▪ Real-time data access

▪ Transactional decision support

▪ KPI-driven process handling

▪ Data modeling extensions leveraging

key user tools

SAP BW/4HANA – Core EDW

▪ Data replication (for snapshots,

performance enhancements)

▪ Enterprise-wide data harmonization

▪ Data governance

▪ Data federation/mashing (EDW)

▪ LSA modeling

▪ SAP and non-SAP data

▪ Planning

▪ Archiving (for delta comparison)

Exceptions (related to visualization preferences, cost, time, …)

SAP Analytics Cloud

▪ Best visualization

▪ Focus on cloud-based source

systems (e.g. SAP S/4HANA Cloud)

▪ Data federation/mashing (without

EDW harmonization)

▪ SAP and non-SAP data

▪ Planning

▪ Self-service BI Cloud LoB reporting & analytics

▪ Operational data

▪ Real-time data access

▪ Transactional decision support

▪ Available reporting tools and analytics



Question 6

“I’m still confused about

reporting and analytics;

how can I get enabled?”



Getting enabled – openSAP learning

openSAP Key Functional Topics in a System Conversion to SAP S/4HANA (Repeat)

openSAP Key Technical Topics in a System Conversion to SAP S/4HANA (Repeat)

openSAP Implementation of SAP S/4HANA

openSAP S/4HANA Learning Courses

https://open.sap.com/courses/s4h15-1

https://open.sap.com/courses/s4h14-1

https://open.sap.com/courses/s4h4/

https://open.sap.com/courses?q=S%2F4hana



Getting enabled – Blogs

SAP Blogs: Embedded Analytics

Predefined Virtual Data Model as example for understanding difference of CDS View type

How to find a predefined Virtual Data Model in SAP S/4HANA

How to deal with “Not released” predefined VDM in SAP S/4HANA

Safeguard Performance of ABAP CDS Views – Part 1 CDS View Complexity

Standard DEMO Examples of ABAP CDS views

ABAP News for Release 7.51 – Meta Data Extensions in ABAP CDS

BW Query on CDS View, OData from BW and value of BW Query in SAP S/4HANA

Integrated Analytics: SAP Analytics Cloud now embedded in SAP S/4HANA Cloud

Intelligent ERP Update: SAP S/4HANA Cloud 1905 Release – Deep Dive for Analytics

Latest MTE Sessions: Learn about SAP S/4HANA embedded analytics and core data service views

Embedding Predictive Analytics into SAP S/4HANA Cloud

https://blogs.sap.com/?s=embedded+analytics

https://blogs.sap.com/2018/10/18/predefined-virtual-data-model-as-example/

https://blogs.sap.com/2018/12/05/how-to-find-a-predefined-virtual-data-model-in-s4hana/

https://blogs.sap.com/2019/05/23/how-to-deal-with-not-released-predefined-vdm-in-s4hana/

https://blogs.sap.com/2018/11/15/safeguard-performance-of-abap-cds-views-part-1-cds-view-complexity/

https://blogs.sap.com/2017/02/21/standart-demo-examples-of-abap-cds-views/

https://blogs.sap.com/2016/10/25/abap-news-release-7.51-meta-data-extensions-abap-cds/

https://blogs.sap.com/2018/08/08/bw-query-on-cds-view-odata-from-bw-and-value-of-bw-query-in-s4hana/

https://blogs.sap.com/2019/10/24/integrated-analytics-sap-analytics-cloud-now-embedded-in-sap-s4hana-cloud/

https://blogs.sap.com/2019/05/15/intelligent-erp-update-sap-s4hana-cloud-1905-release-deep-dive-for-analytics/

https://blogs.sap.com/2019/05/15/learn-about-sap-s4hana-embedded-analytics-and-core-data-service-views/

https://blogs.sap.com/2017/05/16/embedding-predictive-analytics-into-sap-s4hana/



Getting enabled – Embedded analytics

Purchase the print or e-book at sap-press.com/4690

➢ Configure SAP S/4HANA embedded analytics for your

landscape

➢ Use embedded analytics for operational reporting and process

analytics

➢ Integrate with other SAP tools for data warehousing, business

intelligence, and predictive analytics

Customize and use SAP S/4HANA embedded analytics!

SAP S/4HANA Embedded Analytics: The Comprehensive Guide

Written by: Jürgen Butsmann, Thomas Fleckenstein, Anirban Kundu

430 pages | 09/2018 | E-book: $69.99 | Print: $79.95 | Bundle: $89.99

https://www.sap-press.com/sap-s4hana-embedded-analytics_4690/?utm_source=1733&utm_medium=ppt&utm_campaign=Authors



Getting enabled – SAP Data Warehouse Cloud

Watch the SAPPHIRE NOW 2019 Demo

▪ Beta program sign-up www.sapdatawarehouse.cloud

▪ Get the latest Blogs

▪ Watch the Video Content

▪ Register for the upcoming Talk Show Series

https://saphanacloudservices.com/data-warehouse-cloud/resources/sap-data-warehouse-cloud-demo-sapphire-2019/



http://www.sapdatawarehouse.cloud/

https://saphanacloudservices.com/data-warehouse-cloud/resources/?resource_type=blog

https://saphanacloudservices.com/data-warehouse-cloud/resources/?resource_type=video

https://saphanacloudservices.com/data-warehouse-cloud/resources/?resource_type=event



Getting enabled – SAP Analytics Cloud

https://www.sapanalytics.cloud/

https://www.sapanalytics.cloud/



Question 7

“What is the difference

between SAP Analytics

Cloud and embedded

analytics?”



SAP Analytics Cloud and embedded analytics

Persistency

Modeling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models

(for analytical and transactional purposes)

SAP Fiori UI

analytical apps, reports, KPIs,… delivered as part of

SAP S/4HANA, extensible by the customer

OData servicesTransient analytical

queries

SAP Analytics

access SAP S/4HANA data directly via

transient analytical queries

SAP S/4HANA

SAP BW/4HANA

(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies


SAP Analytics Cloud

Intelligent Decisions

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI, Planning, and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning –

no data scientist required

Get insights wherever you

are with analytics available

on any device

Business Intelligence

Augmented Analytics

Enterprise Planning

Data to Intelligence


SAP Analytics Cloud – Extending SAP S/4HANA


Overview Key Influencers

Outliers Simulation


SAP Analytics Cloud – Smart Discovery (why did it happen?)

After selecting a measure or dimension,

Smart Discovery automatically generates

a story with up to 4 pages:

▪ Overview: data distribution, summary of

trends and patterns detected

▪ Key Influencers: top correlated variables,

insight quality, influence visualizations (only

created if a pattern is discovered)

▪ Unexpected Values: records identified as

outliers (only if a measure is selected)

▪ Simulation: interactive what-if simulation

(only if a measure is selected)



Question 8

“How will my other

reporting solutions be

impacted?”



Remediation of downstream reporting systems

What to do where?

Rebuild and extend

Plan for downstream remediation

Check the status of Business Intelligence

Check the status of EDW (BW) solution

▪ Check OLTP extractors

▪ What is still working?

▪ Usage of BEx?

▪ Housekeeping

▪ What next?

▪ Establish the status quo of

BI/Analytics

▪ Data sources changed?

▪ Role of Big Data?

▪ Housekeeping

▪ What next?

▪ Separate operational BI/Analytics

layer and EDW

▪ Target architecture SAP

S/4HANA, SAP BW, and SAP

Analytics Cloud, BI/PA/Planning

▪ Systems taking ERP feeds

▪ Excel spreadsheet with

hardcoded logic

▪ Replacement of older

technologies

▪ Decommissioning strategies

▪ Influencing factors: individual

preferences, strategy, effort,

available functionality, skill set,

investment, …

▪ Plan detailed steps to implement all

remaining analytical requirements

(e.g. by extending SAP S/4HANA)


▪ Allowing cross-system view on all data

Examples

▪ Total Spend Management

Bring together spends data from

SAP Ariba, Fieldglass, and Concur

▪ Campaign Effectiveness – Campaigns

from Marketing

Cloud and Opportunities from

SAP C/4HANA (Sales Cloud)

Big Data

Non-SAP Systems

Intelligent Suite

Customer

Contingent Labor

Procurement

Travel & Expense

SAP S/4HANA

SAP C/4HANA

SAP

Fieldglass

SAP

Ariba

SAP

Concur

Core ERPDigital Supply

ChainIntelligent Finance

Human Resources

SAP

SuccessFactors

here: SAP Analytics CloudSAP HANA & Analytics


What is your vision? Does it align to the SAP roadmap?

https://sapdemostore.com/sap/bc/ui5_ui5/sap/yunifiedstore/index.html#/scenario/15636


Big Data

Non-SAP Systems

Intelligent Suite

Customer

Contingent Labor

Procurement

Travel & Expense

SAP S/4HANA

SAP C/4HANA

SAP

Fieldglass

SAP

Ariba

SAP

Concur

Core ERPDigital Supply

ChainIntelligent Finance

Human Resources

SAP

SuccessFactors

Semantic Data Layer

Data Warehouse Layer

BI Visualization Layer

EDW

▪ Allowing cross-system view on all data

▪ Data warehouse layer for enterprise-wide

data harmonization to establish the

corporate memory

▪ Semantic data layer for agile,

self-service mashups and blending

▪ BI visualization layer leveraging data

sources of all kinds, including data

warehouse and semantic data layers

Examples

▪ Profitability per employee – Compute

profitability with headcount from SAP

SucessFactors and financial KPIs from SAP S/4HANA

▪ Effect of marketing spends on net promoter

score – Analyze how spends on Spotlighting

Accounts from Marketing Cloud impact net

promoter score on your brand with surveys

from Qualtrics

LoB

LoB

IT


What is your vision? Does it align to the SAP roadmap?

SAP HANA & Analytics

https://sapdemostore.com/sap/bc/ui5_ui5/sap/yunifiedstore/index.html#/scenario/15636


▪ Update your reporting and analytics strategy

▪ Start your learning journey sooner rather than later

▪ Understand the options within your scope

▪ Embrace a new paradigm

▪ Downstream remediation

▪ Prepare for Change Management


Key takeaways

Thank you.

Contact information:

[email protected]

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