Preparing your SAP Analytics Roadmap...2020/02/12 · PwC Agenda Your SAP Analytics Roadmap 2 15:30 Introduction 15:45 Building common ground 16:15 Analytics questions and SAP’s

Preparing your SAP Analytics Roadmap

Torsten Hübsch12th February 2020

1

PwC

Agenda

2Your SAP Analytics Roadmap

15:30 Introduction

15:45 Building common ground

16:15 Analytics questions and SAP’s answers

17:00 Coffee break

17:30 Journey to your SAP Analytics solution

18:00 PwC supporting your journey

18:15 Networking drink

Building common ground

The world is changing.

From data warehouse to analytics to data intelligence.

Data-centric enterprise.

Scope for today: How to get there?

Analytics is the#1 technology expected to help businesses differentiate from their competition.

Source: Gartner, Mastering the New Job of the CIO

Converging trends that challenge businesses to transform data and analytics into a powerful strategic tool

2 Businesses becoming analytics-driven organizationsBusinesses driven by analytics will see $430 billion in productivity benefits over their competition not using data, by 2020, according to the International Institute for Analytics.

1 Global big data volumesin zettabytesData volumes to rise to 100 zettabytes by 2025, necessitating the use of big data technologies for organization to manage their data, such that it can deliver fast insights and actions for business.

4 Analytics ecosystems are transformingAnalytics vendors (DI, BI, appliance, databases, big data, analytics) are positioning them differently and are aligning themselves with the analytics agenda of their customers.

3 Businesses want to monetise dataBy 2020, 90 percent of large enterprises will generate revenue from data-as-a-service, selling raw data, derived metrics, insights, and recommendations – up from nearly 50 percent in 2017.

Siloed decision making

Cost-focused

Intuitive business insights

PreA

naly

tics

Tran

sfor

mat

ion Data-driven business insights

and intuition

Value-focused

Collaborative decision making

Post

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Analytics throughout the years

7

1960Decision supportsystems

1970OLAPRelational databases by Codd

1988Data warehouses

1997Business Intelligence

2010Apache SparkMicrosoft Azure

2011Data lakes

2012Deep learning

2015Tensorflow

202xData-CentricRevolution

1968SPSS

1976SAS

1985Microsoft

Excel

1993R

2003Tableau

2005Hadoop

2006Amazon EC2

2008GCP

2017Data fabric

2018Graph technologies

2019Cognitive, augmented

and embedded intelligence

1960s 1970s 1980s 1990s 2000s 2010s 2020s

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SAP BW throughout the years

8

1972SAP R/2Mainframe

1998BW 1.2OLAP vs OLTP

2004BW 3.5Net weaver core,Broadcasting,Planning

2008BW 7.2BOBJBPC

2012LumiraAnalysisfor office

2018SAP S/4HANAIntelligent ERPSAP Cloud Platform

1992SAP R/3Client/Server

2002BW 3.0

Monitoring improvement

2006BW 7.0

Monitoring improvement

2011BW 7.3BW on HANA

2016BW/4HANASACNative HANA

2025“X”/4HANA

Intelligent Suite

Pre 2000 2000 - 2005 2006 - 2010 2011 - 2015 2016 - 2020 Post 2020

2019SAP Data WarehouseCloud

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Where are we with BW/4HANA?Past years of BW and HANA

2012 2013 2014 2015 ... 2025

Any database

SAP BW 7.XEnd of support

xW/4HANABW DWH

BOBJ (Webi, A4O, Lumira)

SAC

VORA

Leonardo

(BW on) HANA

DWH in the cloud

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What are your main questions?

?

??

How to improve analytics experience within the company?

How to be more agile in analytics?

How to improve the usage of self service?

Which technology to use? How to be future proof?

How to manage database growth?

How to access/combine structured and unstructured data?

How to cover the needs of the various users types?

How to ensure on time data availability and quality?

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How does SAP answer these questions?

From a data analytics PoV

From a data integration PoV

For budget and forecasting

From a data storage PoV

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Data storage

2016 2017 2018 2019

SAP BW/4HANA1.0

SAP BW/4HANA1.0 SP04

SAP BW/4HANA1.0 SP08

SAP BW/4HANA2.0

- The next generation warehouse- Builds on the innovations of SAP BW powered by SAP HANA- Leaves behind the legacy of SAP BW on any DB- Data Tiering Optimization (DTO) to manage hot, warm and cold data tiers

- Enhanced DTO options to reduce TCO- Enhanced master data loads- Tight integration with SAP Data Hub- Analytical Engine improvements

- Unified UI for all SAP BW/4HANA modeling aspects (DTP and Transformation Editor)- SAP BW/4HANA Web Cockpit as single entry point for monitoring and administration- New storage options for DTO

- SAP’s vision for a modern packaged data warehousing solution- Simplified in every aspect of data warehousing- Smart integration of all business applications and modern data sources

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The HANA database covers the performance side in read and write access. ● Quicker response time in reporting● Quicker loading process

Redesign of monitoring and administration web cockpit● Easier follow up and integration of Native

HANA data process ● Integration SAP DataHub

Data tiering● Optimized storage of the data according

their usage (hot, warm, cold, …) ● Reduced database costs

BW package redesigned with new object types ● Virtualisation layer● SQL Scripts replace ABAP to improve the

usage of the HANA capabilities

Scalability ● The solution is available as well on

premise or in the cloud with then full scalability

DWH in the cloud● Full HANA scalable solution without BW

content● With an integrated framework

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Data storage\\

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Agility

● Possibility to upload data and create the objects based on the metadata from the source system

● Allows for very quick PoC building

● Easy integration between the BW and Native HANA

● Virtual layer can be easily defined and replaced

Accessibility

● Via the HANA view, the data are accessible by most of the reporting tools SAP as well as by non-SAP tools

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Data integration

Openness

● The native HANA part of BW4HANA can connect to all types of data

● The DWH in the cloud is based on SQL data management as well

● VORA allows to connect to cloud providers (AWS/GCP/Azure) and to integrate with data lakes

● Hadoop interactive data analytics

● SAP Data Hub is a full integrator tool allowing read, transform and analyse any type of data. Furthermore, workflow design is possible.

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BOBJ ● All BO solutions (Webi, Lumira, Crystal reports, …) are still under maintenance till 2026

SAP Analytics Cloud● Fully scalable solution

● Contains dashboarding as well as reporting and analysis tools

● Can connect to HANA views and use HANA power

● Can upload and use data in the cloud

● Integrates with most data sources

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Data analytics

SAP Leonardo (potentially move to SAP Cloud Platform) ● The data analysis tool for data scientists

● Preconfigured packages for machine learning and big data analysis

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Budget and forecasting

BPC ● The SAP Business Planning and Consolidation (SAP BPC) application delivers planning,

budgeting, forecasting, and financial consolidation capabilities, so you can easily adjust plans and forecasts, speed up budget and closing cycles, and ensure compliance with financial reporting standards.

● On-premise or cloud deployment● Integration of SAP and non-SAP data● Real-time access to data in SAP S/4HANA● Hybrid deployment with SAP Analytics Cloud

Future of BPC is for the consolidation in S/4HANA (group reporting) and for planning in SAC.

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Did we answer your questions?




How to improve the usage ofself service?

With Vora and Native HANA, you can access all types of data and manage them in a complete and scalable environment on premise or in the cloud. Cfr. SAP’s Statement of Direction.

Source: SAP

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● SAC offers easy integration and generation of stories which facilitates the user experience and adoption.

● Pre-configured solutions in Leonardo (SCP) will enable users to improve and speed up their data discovery processes.

Source: SAP

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● No need to create info objects to quickly integrate new data.

● No need to load data. Just create a new virtualisation layer.

Source: SAP

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SAC allows users to create their own stories and to import their own data, to easily combine SAP and non-SAP data.

Source: SAP

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How to managedatabase growth?




● Data tiering ensures the most efficient usage of the database capabilities.

● The virtualisation reduces the datastore .● The cloud solutions are fully scalable.

Source: SAP

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Vora, Leonardo, Data Hub and Native HANA allow to access and transform all types of data.


Source: SAP

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● SAC and/or BOBJ cover the operational and managerial needs as well as dashboarding.

● Leonardo covers the need of data scientists.● BPC answers the need of planning and forecasting

on premise.


Machine learning

Blockchain

Data intelligence

Big data

Internet of things

Analytics

Source: SAP

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● BW/4HANA and DWH in the cloud are based on HANA technology, ensuring quick dataload.

● The new LSA++ data model contains less levels of storage, so less data to load.

● Both solutions have a framework allowing full monitoring of the ETL solution.



Source: SAP

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SAP’s Statement of Direction (2019)

Source: SAP

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Source: SAP

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Source: SAP

Journey to your tailored SAP Analytics solution

Which data storage solution do I need?● S/4HANA (embedded analytics)● BW/4HANA● Native HANA● DWH in the cloud● …

How do I migrate?

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Journey to your BWBad news: it’s only a ToC. You’ll have to write it yourself!

All journeys are different

• Big vs. small system/organization• High vs. low data volume • Long vs. short SAP history• High vs. low maturity of analytics

• Organizational constraints• Organizational culture• Budget• Available time & urgency• Number of comfort stops • On-going projects

• Cfr. Answers to your questions.

Point of departure Road signs & road blocks Destination

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Journey to your BWGood news: You are not the first!

● Tools○ SAP Readiness Check○ SAP Transformation Navigator

● Experiences from otherprojects (lessons learned)

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Journey to your BWWhich storage solution to choose?

Existing BW systems?No

Do you have a DWH solution?

Is it future proof?Mainly

operational reports?

Limited datavolume(max 20% with respect

to ERP)?

“Keep it”Yes

Yes

Yes

Yes

No

No

Consider embedded BW in S/4HANA

Consider embedded analytics in S/4HANA

No

No

YesSAP as main

source?

Yes

No

Consider BW/4HANAConsider DWH inthe cloud

More parameters have to be taken into account. This decision tree only gives a high-level, conceptual overview of how the correct storage solution needs be assessed.

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Journey to BW/4HANAHow to move?

Greenfield versus brownfield

Which tools for reportingand data analysis?

Do we need to associate the move to S/4HANA with

BW/4HANA or vice versa?

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How to move?Greenfield versus brownfield

Each of you is in a specific situation. We want here to list some considerations prior to taking a decision. The way forward will depend on the weight factor you give to these different points.

● Which version of BW are you in?● How many dataflows do you have in your current system?● How optimised is your current system?● Is the governance in place?● How performant is your current system?● Is the performance similar for all areas?● How many reports do you have?● What type of reports do you have?● Do you have only one technology in place?● Do you have on-going projects or are you in run and maintain status?● How happy are the end users?

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● Currently no conversion exists from BOBJ to SAC reports but BEx queries can be converted in HANA views.

● SAC is the platform of the future. It will integrate dashboarding, reporting, budget and analytics in one tool.

● No magic move but good preparation work is needed.

How to move?Which reporting tools to use?

Raw data

Structured detail dataManagerial reporting

KPIsDashboarding

SAC: pre-configured dashboard and defined stories

SAC ReportingLeonardo

SAC Reporting for structured dataLeonardo for unstructured data

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PROs CONs

35

How to move?Couple S/4HANA move with BW/4HANA?

● Full HANA landscape

● Optimize your full reporting landscape (operational on S/4HANA and managerial on BW/4HANA)

● Optimised storage

● Full ODP connectivity

● Two big projects at the same time

● Need of same business resources

● Change reports and connectivity at the same time

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How to move?Couple S/4HANA move with BW/4HANA? - Quick fix migration

SAP ERP SAP BW

OLTP OLAPETL BPC

SAP S/4HANA

OLTP & OLAP(embedded analytics)

1

2 Quick fixETL

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How to move?Couple S/4HANA move with BW/4HANA? - Possible landscape evolution

SAP BW 7.x

BPC

SAP ERP

BOBJ

Lumira

WEBI

A4O

Data lakeIot, AI

SAC

P

BW/4HANA

SAP S/4HANA

C

Leonardo

VORAETL

Import/exportHANA live

}

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How to move?Next steps for you

• Define your timing to answer the questions

• Tackle the why! … or why not!

• Discover your peers, who are (about to) go on S/4HANA

• Subscribe to quarterly follow-up web sessions (invites will be sent)

… feel free to reach out for support!

PwC supporting your journey

Our service offerings

Our project methodology approach

Our delivery framework

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Define vision Decide Approach Execute, Execute, Execute

Set Business case

Get Investment case / Detailed plan Go Live

How does it support our strategy?

How do we become

data-driven?

How do we become an Intelligent

Enterprise?

How long does it take?

How much does it cost?

How shall we deploy?

What data storage

method do we deploy?

What data integration options do we use?

What data analytics

solutions do we need?

Next steps / not end of

journey

Why SAP Analytics? How do we move? What do we do?

Serv

ice

Offe

rings

Value Study

Analytics Transformation Program

Analytics Business Case

Impact Assessment

Analytics Roadmap

Analytics Strategy & Planning

RfP Creation SI Selection

Project, Program Management(*)

Solution Architecture

Quality, Risk & Value Assurance (*)

Analytics Proof of Concept

Analytics Assessment

System Implementation

Business Transformation

Testing & Automation

Data Assessment & Governance

PwC supporting your path to SAP Analytics

Cont. innovation(*) Transversal activitiesVision Storylining to Stakeholders Change Impact Analysis & Plan Deploy Change actions to maximize adoption for Go Live

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Testing

Rollout

PwC supporting your path to SAP Analytics

Digital transformation journey

Business Case

Project Approach

Steering & Reporting Concept

Project- and Change Management

Master Data &

Governance

BI Architecture

Data Warehouse & Consolidation

Mandatory ERP settings

Sales ProcurementProduction

Transformation strategy Business Concepts Specification Implementation

End

-to-e

nd p

roce

sses

Idea to Market

Order to Cash

Plan to Produce

Source/Purchase to Pay

Record to Report

Configuration

Migration

Risk ManagementValue & Quality Assurance

ITHR

Tax

Legal Compliance

Delivery Framework

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Project methodology approachAlong the continuum …

Degree of change

Delivery Frequency

Iterative

Waterfall

Agile

Incremental

High

Low

Low High

Thank you!

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Preparing your SAP Analytics Roadmap...2020/02/12 · PwC Agenda Your SAP Analytics Roadmap 2 15:30 Introduction 15:45 Building common ground 16:15 Analytics questions and SAP’s

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