Data Analytics Strategies & Solutions for SAP customers

© 2017 Visual BI Solutions, Inc. All rights reserved. www.visualbi.com
DATA ANALYTICS STRATEGIES & SOLUTIONS
FOR SAP CUSTOMERS
Gopal Krishnamurthy
Founder/CEO, Visual BI Solutions www.visualbi.com

© 2017 Visual BI Solutions, Inc. All rights reserved. www.visualbi.com 2
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Data Analytics Strategies
Webinar Agenda
Introduction1
Typical Challenges and Dilemma’s2
EDW Strategy and Options3
BW/4HANA Vs S/4HANA4
Shift to Cloud (SCP and Others)5
6
SAP Lumira 2.X Strategy and Future7
Shift to Cloud (SAC)8
Self Service BI Tools & Comparison9
Q&A10
SAP BI Strategy and Roadmap

ABOUT VISUAL BI
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Visual BI Solutions is a leading All-in-One Business Intelligence (BI) enablement firm specializing in BI &
Analytics services, solutions, trainings and products. We have proven expertise in enabling BI & Analytics
for 100+ world’s leading brands. We can help you achieve competitive advantage by effectively managing
the Plan - Build - Run spectrum for BI.
Trusted by the largest companies world-wide
Trusted by
the industry
Integration and Partnership with
SAP and Microsoft is our forte
CONSULTING SERVICES
• Strategy
• Architecture Implementation
• Training
• Managed Services
• Visualization
• Cloud Migrations
ANALYTICS SOLUTIONS
• Dashboards by LOB
• Advanced Analytics
• Big Data Solutions
TRAINING
• SAP Business Objects Training
§ SAP Lumira Discovery (2 Days)
§ SAP Lumira Designer (3 Days )
§ SAP Web Intelligence (2 Days)
§ SAP Analysis for Office (2 Days)
• SAP Analytics Cloud Training
• Microsoft Power BI Training
SOFTWARE PRODUCTS
• VBI View – One Portal for All BI Content
• Product Extensions for SAP Lumira / SAP Design Studio
§ Visual BI Extensions (VBX Suite)
§ Document Management and Change Control
• Value Driver Tree (VDT) for Planning and Simulations

ABOUT VISUAL BI
Customer Portfolio (Software, Services, Training)

END-TO-END BI ENABLEMENT
Spectrum of Offerings (Consulting, Software Products, Trainings) to Drive
BI & Analytics Adoption
BI SERVICES
» Strategy & Roadmap
» Assessment / Health check
» Implementation
» Managed Services
» BASIS / Infrastructure
» Upgrades & Migration
» Corporate Training
» Mobile BI
» Self Service BI
TECHNOLOGY
» SAP BI / BW / BW4HANA
» SAP Business Objects
» SAP HANA EE
» SAP BPC / SAP BPC4HANA
» SAP BODS / EIM
» Microsoft Data Warehouse
» Azure Data Lake
» Azure Analysis Service
VISUALIZATION & REPORTING
» SAP Design Studio
» SAP Lumira
» SAP Analysis For Office
» SAP Web Intelligence
» SAP Crystal Reports
» SAP Dashboards
» Microsoft Power BI
» Tableau
» TIBCO Spotfire
CLOUD PLATFORMS &
SOLUTIONS
» SAP Analytics Cloud
» ROAM BI
» SAP HEC / SAP SCP
» AWS / Azure / GCP
PRODUCTS
» Value Driver Tree
» VBI View
» VBX Extensions
TRAININGS
» SAP Lumira Designer
» SAP Lumira Discovery
» SAP Analytics Cloud
» SAP Web Intelligence
» SAP Analysis for Office
» Microsoft Power BI
BIG DATA INTEGRATION TO SAP
» HANA Vora
» Hadoop
» Spark
70%
Of The Revenues from
Non-Visualization
Related Items

Typical Challenges

Current State (Tactical)
§ Data Warehouses or Data Lakes Multiple and which
one?
§ BI Tools Offerings and how to pick the best
§ Upgrades Vs Re-Platform
§ Advanced Analytics & Big Data Platforms
§ Cloud Choices (Public, Private, Hosted)
Backend (EDW/ETL Challenges)
§ Is BW Dead ? with S/4 Embedded Analytics or SCP
§ BW/4HANA or Azure / AWS Data Lake ?
§ Which ETL Option (BODS, SLT, SDI)
§ HANA EE or SAP Cloud Platform ?
Future Vision (Strategic)
§ Cloud First
§ Cloud Choices
§ Bring Your Own Device & Tool
§ Data Lake (Structured & Unstructured )
Front End (Reporting/Visualizations)
§ What is the future of SAP Business Objects ?
§ Is SAP Lumira Dead ? What about Fiori Apps
§ How good is SAP Analytics Cloud
§ How does SAP BI Tools Compare to Power BI/ Tableau
?
Typical Challenges
Questions and Dilemma’s

VS
(IT)
Live Connections
Data Governance and Security
Data Cleansing (ETL)
Enterprise / Global
(Business)
Acquired Data and Discovery
Agility (ELT, Visualization)
Self Service
Departmental / Local
Evaluation and Comparison Challenges
Tools by Persona’s or 1 Enterprise Tool for All Persona’s

USER PERSONA’S
Tools by Persona’s or 1 Enterprise Tool for All Persona’s
Power Users (6%)
Complex Data Analysis
Complex Report Development
Data Analysts (6%)
Data Preparation
Data Discovery
Ad-hoc Analysis
Report Analysts (6%)
Ad-hoc Reports
Report Builder
Agile Visualizations
Presentations
Data Scientist (2%)
Statistical Analysis
Forecasting Functions
Predictive Analysis
Casual/ Business UsersExecutives Managers
Analyze Operational MetricsDashboards / Scorecards / KPI Tiles Trends Analysis for Hindsight
Transactional Reports / Order DetailsPresentations / PDFs / Infographics Drill Down Analysis for Context
Charts and Visualizations Formatted and scheduled Reports
Consumers
80%
Self-Service
BISeekers
20%

Backend vs Front End
Strategy for the BI Tool or DW ?
OR
Multiple Data Warehouses & Data Lakes Multiple BI/Visualization Tools
Pick your Poison but
you must Consolidate and Streamline your Data Sources for better outcomes

What do they really Want ? May be a Score Card
Report = Story Board = Dashboard = Applications
NOTE : Popular tools section only mention the strongest player(s) in each area. Other tools might have the flexibility to deliver multiple end products.
STORYBOARDS FORMATTED REPORTS DASHBOARDS APPLICATIONS
Definition
Document containing mostly
visualizations designed by end users
to answer ad-hoc business queries
using visualizations.
Ordered presentation of a detailed
data set usually portrayed as tables,
sometimes combined with
visualizations.
Collection of visualizations and other
elements consolidated and arranged
on a single-screen that can be
monitored at a glance.
Consolidated information presented
in a guided analytic path spread
across multiple pages or screens with
analytic capabilities for end users.
Primary Focus Trends or KPIs Score Cards and KPIsUnderlying Data & Details Trends & KPIs; Drilldown to Data
Purpose Self Service Analysis Performance OverviewIn-depth Data Analysis Multi-Purpose
Typical End Users Business Users & Analysts
(Authors)
CXO, Managers (Consumers)CXO, Managers, Analysts (All ) CXO, Managers, Analysts (Consumers)
User Interactions None to Minimal ModerateMinimal to Moderate Extensive
No. of Data Sources Single Single or MultipleSingle or Multiple Multiple
Visualizations Primarily Charts Charts and MapsPrimarily Tables and Some Viz Charts, Maps and Tables
Popular Tools
Lumira Discovery, Analytics Cloud,
Tableau, Power BI, Qlik Sense
Xcelsius, SAP Analytics Cloud, Qlik
View, Spotfire, Tableau, Power BI
Web Intelligence, Crystal Reports,
IBM Cognos, IBI Web Focus
Lumira Designer
Development Time Few Hours Few Days to a WeeksFew Hours to Days Few Weeks
Level of Detail
Business IT

EDW Strategy – BW or HANA EE or BW/4HANA or S/4 HANA or SCP
Transformation of Enterprise Data Warehousing

Strategic Analytics
(OLAP)
14
EDW & Analytics Context
Rapidly Evolving PATHS
Table
Dumps/
Excel
Reports
ABAP
Reports
HANA
Live
S/4HANA
Fiori
S/4 HANA
Embedded
BW
S/4 HANA
Cloud
SAP
BW
SAP
BWA
SAP BW
On
HANA
SAP
BW/4HANA
SAP
BW/4HANA
Cloud
HANA
Side Car
EDW
SAP
Cloud
Platform
Custom EDW
(Oracle/SQL
Server) Hadoop
Azure SQL
AWS Redshift
Data Lakes
Operational Analytics
(OLTP)
Traditional EDWIn-Memory HANA EDW

SAP BW 7.x on anyDB with
BW Accelerator
15
EDW ROADMAP
SAP BW Evolution
BW/4 HANA
SAP BW 7.5 Edition for
SAP HANA
Utilizing the power of SAP HANA
for BW models
Simplification and virtualization
of data models
HANA Platform integration
Simpler data modeling and hosting options
For B4H customers only Makes system ready for B4H
transition and allows for conversion
SAP BW 7.5 Powered
By SAP HANA
SAP BW 7.4 Powered
By SAP HANA
SAP BW 7.3 Powered
By SAP HANA
Next Generation – New Licensing
2012
2013
2015
2015
BPC4HANA(BPC 11)
2016
2017
Legacy
< 2012

• In DirectQuery over relational sources there are a set of queries (as defined in
the Get Data or Query Editor dialog) that logically define the data that is available
in the field list. This is not the case when connecting to an OLAP source such as
SAP BW. Instead, when connecting to the SAP server using Get Data, just the
Infocube or BEx Query is selected. Then all the Key Figures and dimensions of
the selected Infocube/BEx Query will be available in the field list.
• Similarly, there is no Query Editor when connecting to SAP BW. The data source
settings (for example, server name) can be changed by selecting Edit Queries >
Data source settings. The settings for any Variables can be changed by
selecting Edit Queries > Edit Variables.
• Given the unique nature of OLAP sources, there are additional restrictions (for
both modelling and visualizations) that apply, in addition to the normal
restrictions imposed for DirectQuery.
Why not BW
The Hiccup with SAP BW
Ref : https://docs.microsoft.com/en-us/power-bi/desktop-directquery-sap-bw

BW on HANA
HANA Success Stories – BW on HANA Migration
Industry
Oil & Natural Gas
Location
Oklahoma City, US
Challenge
§ Limitations with extracting & loading data from
relational database and source systems to DW
environment affected business performance,
with growing data volumes
§ Frustration over data latency and need for real-
time data.
§ Slow performing reports driving down user
adoption
Solution
SAP NetWeaver BW 7.3 powered by SAP HANA
Outcomes
§ Dramatic increase in performance across areas
§ Rapid implementation with no changes to user
interfaces
§ Marked increase in user adoption
RDBMS HANA
771s 55s 4X
FASTER
CapEx Net Report
Performance
395s 20s 20X
FASTER
JVA Line Item Delivery
DSO Activation Time
0.43s 0.09s 5X
FASTER
Dashboard Response
Time
1.18s 0.08s 15X
FASTER
LOS – Net Production
Month Report
839GB 217GB
78%
REDUCTION
Database Size (in GB)
Faster Analysis &
Reports
Faster DSO Activation
Faster Dashboards
Accelerated Planning
Functions with complex
scenarios
Reduced Landscape
Footprint
“The migration to SAP HANA allowed us to keep our
data warehouse and analytics environment untouched
while gaining a tremendous performance advantage”
Nik Pottala, CIO & Vice President of Administration
Source: Continental Resources Breaks New
Analytical Ground by Ken Murphy
insiderPROFILES, Volume 5, Issue 2, April 1st
2014
http://sapinsider.wispubs.com/Assets/Case-
Studies/2014/April/IP-Continental-Resources-
breaks-new-analytical-ground
“We’ve taken the lid off to where performance is no
longer an issue, so we’ve set the stage to do more.”
https://vimeo.com/visualbi/
bw-test-accelerator
Migration Test Automation Tool
§ Accelerated time-to-market for
BW upgrades and BW on HANA
migration
§ Testing 186 queries took just 35
minutes (57x faster than without
the tool)

BW/4HANA
BW/4HANA – Introduction

B4H VS BW ON HANA
Advantage and Disadvantages
• Benefits of standard BW modeling with HANA DB
Acceleration
• Standard Business Content
• Has been around for over 20 years that it is robust
and scalable to any number of users
• Mature talent pool
SAP BW on HANA
• Change management and Time to Deliver new
development
• Database limitations like number of characters etc
• Perceived as complex thing to learn and sustain
skillset in BW
• Tight integration with HANA and SQL Access
• Best of both BW and HANA worlds
• Prebuilt content library for SAP Data ( Business Content )
• Platform of choice for future innovations
• Cloud Friendly
• Open SQL Integration to 3rd party reporting tools
BW4HANA
• Migration is challenging and time consuming
• Additional Licensing Cost
• BeX Analyzer and BeX Web are no longer supported
(Query Designer is still supported)
• Needs retraining on development and query design
AdvantagesDisadvantages

EVOLUTION OF SAP BW/4HANA
BW/4HANA – Scalable, Big Data and Cloud Ready

S/4 Evolution
S/4 HANA Embedded Architecture

EMBEDDED ANALYTICS vs BW4/HANA
Embedded Analytics Overview
What about Embedded BW in SAP S/4HANA?
Since the release of SAP NetWeaver 7.0, SAP ERP systems automatically include SAP BW.
The SAP BW technology that exists inside such an ERP system is called ‘Embedded BW’.
Similar features were also available under ‘HANA Live’
§ The Embedded BW is used to support certain business processes in the
SAP Business Suite and in SAP S/4HANA, e.g. integrated financial planning
processes in SAP S/4HANA (aka BPC Optimized)
§ Embedded BW is not recommended for building an Enterprise Data
Warehouse, considering multiple SAP Applications on SAP HANA in
productive environments regarding:
§ Upgrades and patches
§ Resource allocation and capacity planning
§ System Management, Workload Management and Monitoring
§ Backup & Recovery
§ Lifecycle management
§ High Availability & Disaster Recovery
§ Security
§ Production support systems (“Break fix systems”) and Quality assurance system
§ Data Tiering (Hot, Warm, Cold)
§ The version of BW used in the embedded scenario is SAP BW 7.5 (BW on
HANA) – not on the innovation codeline and missing the improvements
already delivered with SAP BW/4HANA
§ More details covered in this SAP Community blog and SAP note 1661202
SAP Fiori BI/PA Planning
SAP
S/4HANA
Embedded
analytics
CDS (VDM)
BW/OLAP
(BW on HANA) BW/4HANA
SAP
S/4 HANA
Transact. Tables
SAP DWH
Data
SAP DWH
Data
SAP HANA SAP HANA
BW/OLAP
§ SAP does not recommend using Embedded BW for
data warehouse (EDW) use cases!
§ Best practice : The amount of data persisted in the
Embedded BW should not exceed 20% of the overall
data volume of the system
§ Embedded BW is not an SAP BW/4HANA. There are
currently no plans to change this approach.

BW/4HANA – License Management
Automatic Data Tiering
Older than 2 Years
Prior Year
Why is data tiering important
• BW4/HANA licensing is done based on
units of 64GB each
• Smaller the data on hot storage , lower
the costs
What is automatic Data Tiering
• The ability to automatically push warm
/ cold data to Near Line Storage /
slower disks to save HANA Memory
• BW4/HANA allows you to define
partition based storage management
and allows older data to be stored on
Extension Nodes or Sybase IQ
• The partitions can be defined based on
rules instead of fixed values if required
Current Year
Standard Tier
Extension Tier
Near Line Storage
Hot
Warm
Cold
Advanced DSO
Hot Data
• In Memory Data
• Real time Analysis
• Predictive and Spatial Algorithms
Warm Data
• Disk Based using Smart columns
• Can be offloaded to HANA Extension nodes
• High performance and Efficient compression
Cold Data
• Data resides in Near Line Storage
• Highly compressed with fewer
backups
• Less frequently access data
Unstructured Data
• Unstructured data usually on Hadoop
• Can be accessed through Vora or Hadoop
• Smart Data access

S/4 HANA Vs BW/4HANA
S/4 HANA & BW/4HANA – Coexistence is the Vision
SAP BW/4HANA – Core
EDW Functions
§ Data replication
(temporary data
availability)
§ Data harmonization
§ Data federation/mashing
§ LSA modeling
§ SAP and non-SAP data
§ Planning
§ Arching (Delta
comparison)
SAP S/4HANA embedded
analytics
§ Operational data
§ Real-time data
§ Transactional decision
support
§ KPI-driven process
handling
Exceptions (related to visualization, cost, time,..)

CASE STUDY
Next Generation Data Warehouse Using S/4HANA and BW/4HANA
Customer
Largest Drilling rig contractor in Canada
Highlights
• Configured and implemented SAP BW/4HANA
• Implemented Plant Maintenance and
accounting modules
• Implemented custom extraction from S/4HANA
system
• Established modelling guidelines and a
foundation for an EDW
• Hybrid modelling including BW and HANA
Models
Scope of Services Delivered
• BI Strategy
• BI Implementation
• BI Installation & Configuration
• SAP BW/4HANA rollout
• SAP HANA Modelling
• SAP Lumira Designer dashboards
• SAP Business Objects implementation
SAP BO Tools Analysis for Office Web Intelligence SAP LumiraCrystal Reports
Query Layer
Composite Provider
Virtual Provider
ADSO
SAP HANA Views
Embedded BW
Calculation Views
CDS Views
ODP
FI EAM C2B
CDS Views
S/4HANAModeling
HSE
DAR
HANA
SDA (Real Time)
Composite Provider
ADSO ADSO
B/4 HANA Modeling
Real-Time
Replication

Bouquet Of Options (BW or S/4 Embedded or SCP HANA EE)
SAP BW on xDB
• Classic BW on traditional
Database
• Proven technology with
plenty of resources in the
market place
• Extensive Preconfigured
Content
• Retention of assimilated
knowledge and Business
Logic
• Performance limitations in
handling large data sets
• Layered Architecture with
multiple aggregations
leading to Redundancy
• Database limitations like
number of characters etc
for older versions
SAP BW4/HANA
• SAP BW re-engineered for
HANA
• Adjusted Preconfigured
Content
• HANA Optimized models
with lesser redundancy
• Lean Data Model
• Tight integration with
HANA and SQL Access
• Little support for Classic
Objects
• Limited expertise in the
Market since it needs
people aware of BW and
HANA functionalities
• Migration is time
consuming
SAP S/4 HANA
Embedded Analytics
• Embedded BW in SAP S/4
HANA (BW7.5)
• Preconfigured Content in
the form of CDS views
• Real time reporting
• Light weight Modelling
using Virtual tables and
CDS views
• Lack of support for
Heterogeneity of system
• Conflict of purpose
between EDW and
Business Process enabler
• Not a full blown Analytical
Solution
SAP HANA EE / SCP
• Custom tables and views
developed with HANA
Studio and ETL with
SLT/SDI/BODS
• Flexible ETL and Modelling
tailored to the Need
• Built on HANA Appliance
• Lack of Preconfigured
business content
• Limited Skill availability
with knowledge of ECC and
HANA
• Inventory modelling,
Hierarchy handling, UOM
conversion are better
handled in BW
SAP BW on HANA
• BW using HANA as it’s
database
• Proven technology
powered by HANA
• Preconfigured Content
• Retention of assimilated
knowledge and
Business Logic
• Layered Architecture
with multiple
aggregations leading to
Redundancy
AdvantagesDisadvantages

Shift To The Cloud

FORMTRANS
Evolved to
§ Support for E-L-T Approach
§ Facilitate data storage in native form
§ Ability to handle Schema Less data
§ Data Preparation on the fly
§ Be business user friendly– Self Service in Data Preparation
A Data Lake Must
Data lakes are utilized to drive agile and
self-service data management (ELT, not ETL)
EDW – Data Lakes
COULD DATA LAKES BECOME THE DE-FACTO?
Structured Data IDC, AC Neilsen’s Social Media
Data
Integration
Data
Integration
Data
Integration
Data
Integration
Sensor data, Clickstream, Server Logs,
Voice, Video, PDF, Word
Unstructured Data Sources
It’s always easier to integrate processed unstructured
data into structured EDW

SHIFT TO THE CLOUD
Hosting Options - Infrastructure
ON_PREMISE
§ Servers are on-premise
in a specific location
§ All the servers in that
location/ data center are
for the same customer
§ Servers could be in a
remote data center or
within office premises
Ex – Company specific
Data Centers
HOSTED
§ Servers are on-premise
in a specific location
managed by a third
party provider
§ Servers are shared ,
depending on
agreements , Hardware
might be specific to
customers
Eg – Company specific Data
Centers
PUBLIC CLOUD
§ Server Hardware is
Managed by a third party
vendor and are shared
based on the application.
§ Hardware is not dedicated
to a customer but the
same hardware is used to
host applications from
different customers while
ensuring that the data is
not shared between the
same
PRIVATE CLOUD
§ Server Hardware is
Managed by a third party
vendor and is usually
dedicated to a single
customer for an
application.
§ Server hardware is
dedicated to a customer
and sized accordingly

SHIFT TO THE CLOUD
Hosting Options - Applications
Bare Metal Servers
§ This is just a server that
is available for use on
the cloud
§ The Operating System
and Licenses are
usually pro-rated with
the cost of the
hardware
Ex – Servers on Amazon
Web Services
Infrastructure-as a
service (IaaS)
§ The Hardware and
Application come
bundled
§ A single fee for both
hardware and software
§ The Hardware and
application is
maintained by provider ,
customer will just use
the application
Eg – SAP HANA Enterprise Cloud
Platform as a
Service (PaaS)
§ The platform is made
available and different
services of the platform
can be use for different
purposes
§ The Platform can be used
to develop services by the
customer and the
platform is transparent to
the customer
Software as a
Service (SaaS)
§ Only the application is
made available for the
customer and is based on
number of users
§ The customer may
customize the application
for all its users but no
other part is available for
the customer.
Eg – SAP Cloud Platform Eg – Salesforce.com

USE CASES & COMPARISONS
SAP INTEGRATION TOOLS – QUICK COMPARISON
DESCRIPTION SAP BODS SLT SDI CPI-DS
Data Replication Strong ETL tool that can read
and write disparate data sources
efficiently
Replication of data is the objective
to transformation
Replication along with the
transformation of data
Replication along with minimal
transformation of data
Sources
Any RDBMS, Legacy Apps ,
files, HDFS
Preferably SAP ECC and few
other RDMS
HDFS, Twitter. Adapters, Oracle,
SQL Server etc.,
HDFS, Twitter. Adapters, Oracle,
SQL Server etc.,
Targets
SAP Apps, SAP BW, Databases,
flat files etc.
Databases only HANA Database HANA Database
Real time Replication Only web based real time
replication available
Trigger based replication available
in near real time
Log based replication available in
near real time
Data Quality Separate licensing may be required
for Data Quality transforms
SDQ (Smat data quality) requires
separate licensing apart from SDI
Predictive Analysis Predictive analytics can be used by
installing AFL and PAL libraries
CDC
Scheduling of
jobs/task
Server Requirement Heavy Footprint Lighter Footprint Much Lighter Footprint Lightest footprint

EDW OPTIONS WITHIN THE SAP LANDSCAPE
HANA Enterprise Edition (EE) vs HANA on SAP Cloud Platform ( SCP )
Capabilities
Not much of a difference in capabilities. For HANA EE on-premise – additional
services like predictive analytics etc , would involve an additional hardware cost
as well which is not there for the cloud
Performance
Performance is expected to be at Par or better. With SCP , you get the most stable
version of HANA automatically.
Cost / Pricing
Pricing is to be discussed with your SAP Rep
Migration to cloud
Migration to cloud is very straightforward and the data provisioning tools of SAP are
very mature
Infrastructure / Network Connectivity
With current enterprise network infrastructure , the difference in connectivity
speeds is marginal
Application connectivity
Application connectivity is through SAP Cloud connector which is very robust
Security
Supports all single sign on protocols including Kerberos, LDAP and SAML. There
might be some workarounds for some scenarios but Single Sign is achievable
HANA EE HANA on SCP=
Migration to cloud is straightforward

CASE STUDY
Agile Data Warehouse Using SAP Cloud Platform (SCP)
Location
US
Employees
~ 1000
§ Installed and configured Smart Data Integration (SDI), BOE, and SAP Cloud Connectors
§ SAP ECC data replicated into SAP Cloud Platform (SCP) using SDI
§ SAP ECC data replicated as flat files into SCP for older versions of SAP ECC/R/3
§ Delivered complex views unifying SAP tables into HANA calculation views and established SCP as single
source of truth
§ Replicated SAP Transactions for Inventory as calc views in SCP for reporting
§ Enabled consumption of data from SCP into SAP Analytics Cloud
§ Delivered Dashboards and reports across business divisions leveraging the capabilities of SAP Analytics
Cloud
§ Managed and delivered training for SAP Analytics Cloud
§ Delivered best practices for data modelling and analytics
§ Implemented business domain based security that was easily scalable
§ Validated data between ECC and SCP to establish trust in the system
Highlights
SAP Analytics Cloud
HANA Modeling
Native Connectivity
Calculation
Views
Attribute
Views
Purchasing| COPA
Inventory | Sales
Material | Customer
Vendor
Base Layer Replicated data
SDI
(HANA Adapter)
SDI
(File Adapter)
SAP Cloud Platform
SAP ECC on HANA SAP ECC SAP R/3
Trigger Based
replication
File Based replication
Check out the
Video Testimonial !
WATCH THE WEBINAR

HANA EDW IN THE SAP CLOUD PLATFORM DELIVERED in
under 12 Weeks

Case Study
DATA ENGINEERING AND REPORTING IN AZURE PLATFORM
Location
US
Revenue
13 Billion USD
Results Achieved
• Successfully delivered 10 KPIs for Careline
Analytics over a span of 3 months
• Key business functionality improvements were
included as part of project deployment
• Automated and scalable ETL process to
accommodate future business requirements
• High performance in-memory AS Model for
seamless integration with front end tools like
Power BI ,SSRS and Excel
• Real time data analytics feasibility provided for
Reporting using Power BI ,SSRS and Excel
• Efficient delivery of Timely and accurate mission Critical KPIs reports.
• Created U-SQL and functions to implement complex business transformation in ETL .
• Designed data model and ETL with performance , flexibility and maintainability
• Provided extensive drill down options for deeper and intrinsic analytics
• Leveraged Azure platform to provide robust, performance optimized and scalable solution.
www.visualbi.com
Really awesome work on this. Can’t tell you how excited I am to see this come to life.
It’ll provide a great foundation on which to build more capabilities for your team,
and for us as a group to expand into other areas like customer service, quality, social, CRM…all on the same
platform.
Director IT

SAP BI PORTFOLIO
Convergence and Hybrid BI Strategy

SAP BI – CONVERGENCE AND HYBRID BI STRATEGY
Current BI Convergence Strategy
• Latest version of the Convergence
Strategy as of Sapphire this year.
• SAP Lumira 2.x is the tool of choice
for Application and Data Discovery.
• Ideal tool choice for On-Premise
customers, especially those using
BusinessObjects.
• Ideal Replacement for Analysis for
OLAP, BEx WAD and
Xcelsius/Dashboards
• SAP Lumira 2.x:
§ Discovery Edition:
§ On-Premise Agile
Visualization & Data
Discovery
§ Designer Edition:
§ Dashboards & Applications

TRANSITION TO SAC OR NOT ?
Fortifying SAP Lumira’s Position for On-Promise
§ SAP Analytics Cloud and SAP
Lumira 2.x are poised as two
different offerings for customers.
§ SAP Analytics Cloud – Data
Discovery offering for customers
running cloud based services
(such as SAP SuccessFactors,
Ariba etc.)
§ SAP Lumira 2.x – Data Discovery &
App Design offering for customers
using On-Premise systems (such
as SAP BW, SAP HANA, SAP
BW/4HANA, SAP S/4HANA)
§ Designer is the flagship app
design product on-premise and
will continue to be. Discovery will
compliment designer.

SAP BI – PORTFOLIO AND STRATEGY
Position and Future of SAP Lumira 2.x
§ SAP Lumira 2.x support is guaranteed ATLEAST till 2024.
§ Roadmap for SAP BusinessObjects Enterprise BI suggests
upcoming release in Q3/Q4 2019.
§ Mainstream support for new version implies mainstream
support for SAP Lumira on new platform as well.
§ SAP Lumira Discovery will still be offered as a Data Discovery tool.
§ More focus on tool stability and parity with older versions; limited investment on new
features for the tool
§ SAP Lumira Discovery will complement SAP Lumira Designer for Agile Visualization and Data
Discovery for non-SAP Data Sources for On-Premise.
Source: SAP
Source: SAP

SAP LUMIRA 2.2
Multiple “ Self-Service” Use Cases Addressed by SAP Lumira, Designer and Discovery
ACQUIRE PREPARE VISUALIZE EXPLORE COLLABORATE
• Preparing Datasets
• Merging
• Appending
• Custom Hierarchy
• Custom Calculations
• Groupings
• Formatting Values
• Drag-Drop feature
• Sort/Rank Data
• Charts Types:
• Bar/Column/Line
• Table/KPI
• Scatter/Heat/Tree
• Geographic
• Storyboards
• Dashboards
• Infographics
• Components:
• Text and Pictures
• Input Controls
• Pictograms and
Shapes
• Comments
• Mobile Access
• Export Datasets:
• Excel / CSV
• Export Visualizations:
• PDF / PPT
• Publish the File:
• Local / Server
DATA VISUALIZATIONS SHARE
• Excel and Flat Files
• SAP HANA
• SAP BW
• 3rd Part SQL
• Cloud Apps
• Salesforce
• OData
• Big Data
Discovery Designer

SAP Analytics Cloud
• Overview of SAP Analytics Cloud
• Modelling and Storyboarding
• Data Connectivity Options

SAP ANALYTICS CLOUD
Introduction

S/4 HANA
S/4HANA – SAP Analytics Cloud Integration

SAP ANALYTICS CLOUD
SAP Analytics Cloud – Strong Roadmap

SAP ANALYTICS CLOUD
App Design – Roadmap

Let’s Compare
• Lumira Discovery VS SAC
• Lumira Designer Vs SAC App Design

Lumira Discovery vs Analytics Cloud
SAP Lumira Discovery
Discovery + BIP
SAP Analytics Cloud
SAC + SCP
Advantages
• Interoperability with Designer and integrates with BIP
• SDK component for custom data access and visualizations
• Live HANA via HTTP based INA connector
• Live BW connectivity using native BICS data services
• Ton of data preparation options
Drawbacks
• Support and Maintenance going forward
• Lack of features with non-SAP data sources
• Limited data preparation options for Live connections
• Discovery supports only iPad; needs Designer for other devices
• Discovery limited to storyboards; needs Designer for dashboards
Advantages
• Subscription based model with automatic updates
• Provides BI, Planning and Predictive features
• Connects live to SAP HANA, BW, UNX, S4/HANA
• International Business Communication Standard (IBCS) Certified
• Heavy investments from SAP and strong future roadmap
Drawbacks
• No desktop client
• Does not inherit role based security from SAP BIP
• Data preparation options are limited compared to on-prem tools
• IT has limited control over rolling out updates
• Required to replicate the data into cloud for Imported data
*This is based on current roadmap and is subject to change by SAP at any time.

Lumira Designer vs Analytics Cloud App Design
SAP Lumira Designer
Designer + BIP
SAP Analytics Cloud
SAC App Design
Advantages
• Leverages existing Business Objects Platform and Licenses
• Interoperability with Discovery and integrates with BIP
• Rich SDK Extensions custom data access and visualizations
• Very Mature Solutions for Applications Design use case
• Very good Mobile User Experience
• Live HANA and BW Connectivity using native BICS data services
Drawbacks
• Lack of connectivity options with non-SAP and Cloud data
sources
• Limited data preparation options without Lumira Discovery
• Designer Applications are built by IT Developers
Advantages
• Subscription based model with automatic updates in Cloud
• Integrated Platform with BI, Planning and Predictive features
• Connects live to SAP HANA, BW, UNX, S4/HANA and Cloud
sources
• International Business Communication Standard (IBCS) Certified
• Heavy investments from SAP and strong future roadmap
Drawbacks
• New Spend and Licensing
• No desktop client
• Very Immature and Beta (not Generally Available Yet)
• Does not inherit role based security from SAP BIP
• Data preparation options are limited compared to on-premise
tools
• IT has limited control over rolling out updates
*This is based on current roadmap and is subject to change by SAP at any time.

Transition to SAC or not?
Guidelines towards making the decision to migrate to SAP Analytics Cloud
Do you have existing
investments in SAP BOBJ?
Do you have existing
dashboards built on legacy
SAP BI tools?
Are you particular about a Cloud
Platform for your latest investments?
YES NO
Are you looking at migrating
these applications?
Who will build your new
BI dashboards?
YES NO
NO Are you looking at
investing in SAP BOBJ?
NO
YES
Is the delivery platform
on-premise?
YES
Will your end users require
reporting capabilities or
integration with existing reports?
NO
Does the user want options
for Data Preparation?
IT TEAM
BUSINESS USERS
Is the business particular
about a Desktop Client tool?
Is the business user particular
about Predictive & Planning
Features?
Does the business want to build
their own Visualizations?
Is the business going to use non-SAP
Data Sources frequently?
NO
NO
YES
NO
YESNONO
YES
YES
YES
YES
NO
YES
YES

Traditional BI vs Self Service BI
INTRODUCTION

Self Service BI
Definition & Evaluation Criteria
An environment where end users can create and access Business Intelligence reports that answer specific queries with minimal IT
intervention and provide with inherent analytical capabilities that speed up decision making with better usability
1) ACQUIRE 2) PREPARE 3) VISUALIZE 4) EXPLORE 6) COLLABORATE
• Preparing Datasets
• Merging
• Appending
• Custom Hierarchy
• Custom Calculations
• Groupings
• Formatting Values
• Drag-Drop feature
• Sort/Rank Data
• Charts Types:
• Bar/Column/Line
• Table/KPI
• Scatter/Heat/Tree
• Geographic
• Storyboards
• Dashboards
• Infographics
• Components:
• Text and Pictures
• Controls
• Shapes
• Comments
• Mobile Access
• Export Datasets:
• Excel / csv
• Export Visualizations:
• PDF / PPT
• Publish the File:
• Local / Server
DATA VISUALIZATIONS SHARE
• Excel and Flat Files
• SAP HANA
• SAP BW
• 3rd Part SQL
• Cloud Apps
• Salesforce
• OData
• Big Data
5) ENHANCE
• Scripting
• Planning
• NLP
• AI/ML
• Predictive
• Custom Extensions
• Automation
• Embedded BI
ADVANCED

Data Acquisition
Data Connectivity
All features supported Does not support features Workarounds / Limitations
KEY
FEATURES
SAP BOBJ
SAP
Analytics Cloud
Power BI Tableau Qlik Sense TIBCO Spotfire
WEBI Lumira 2.x
SAP UNX
HANA (Live)
BW (Live)
HANA (Import)
BW (Import)
Excel / CSV
OData
SQL / RDBMS
Social Media
Big Data
Cloud Apps
9.5 9.5 9.0 9.0 9.0 9.0 9.0
Traditional BI (IT) Self Service BI (Business)
NOTE : Considered for an organization with majority of data from SAP

Data Preparation
Modelling Data
KEY
FEATURES
SAP
SAP
Analytics Cloud
WEBI Lumira 2.X
Append/Union
Merge/Join
Hierarchies
Advanced
Calculations
Groupings
Change Log
Visual Workflow
5.0 5.0 4.5 6.5 6.5 5.0 6.0
Power BI to get massive updates with Power Query and DIP
Tableau workflows improved with Tableau Prep

Self-Service BI
Visualization
KEY
FEATURES
SAP SAP
Analytics Cloud
WEBI Lumira 2.x
Basic Charts
Advanced Charts
Geo Maps
KEY
FEATURES
SAP SAP
Analytics Cloud
WEBI Lumira 2.X
Story/Dashboard
s
Applications
Reports
Ad-Hoc Analysis
VIZ + EXP 4.5 6.0 6.0 6.0 6.5 6.5 6.0
Exploration
NOTE : Advanced charts include custom visual extensions

Sharing
Basic Features
KEY
FEATURES
SAP BOBJ
SAP
Analytics Cloud
WEBI Lumira 2.X
Local / Desktop file
Browser / Server
Chat / Collaborate
Data as Excel / CSV
Full Export to PDF
Full Export to PPT
Comment /
Annotation
5.5 5.5 5.0 6.5 6.5 4.5 7.0

Technology Integration
IT Driven Enterprise Functionality
All features
supported
Does not support
features
Workarounds /
Limitations
KEY
FEATURES
SAP
SAP
Analytics Cloud
WEBI Lumira 2.x
Semantic Layer
SAP BOBJ BIP
Microsoft Azure
O365 / SharePoint
Native Row Level Security
Role Based Folder Security
Shared Components
Large Data Extracts/In-memory
ETL
Complex Data Models
7.5 7.5 6.5 7.5 7.0 7 6.5

KEY
FEATURES
SAP
SAP
Analytics Cloud
WEBI Lumira 2.x
Upgrade & Version
Management
Security and Authentication
Auditing
Profiling
Repository Storage & Caching
Schedule Refresh & Alerts
Commenting & Collaboration
Web-based Authoring
Broadcasting & Publishing
8.5 8.5 7.5 7.0 8.0 7.0 8.0
Platform Features
IT Driven Enterprise Functionality
All features
supported
Does not support
features
Workarounds /
Limitations

Sharing
Mobile BI
KEY
FEATURES
SAP
SAP
Analytics Cloud
Power BI Tableau Qlik Sense
TIBCO
Spotfire
WEBI Lumira 2.X
Mobile App
iOS
Android
Windows
Web Browser
Desktop
Windows
Mac
Others
Offline
Responsive UI
WYSIWYG
Annotations
Smart Options
Notification
Push
Events / Alerts
6.5 9.0 7.5 11.5 8.5 7.0 11.5

Modern BI
Advanced Analytics
KEY
FEATURES
SAP
SAP
Analytics Cloud
Power BI Tableau Qlik Sense
TIBCO
Spotfire
WEBI Lumira 2.X
Customizations
SDK for Visualizations
API
Scripting for Advanced
Functions
Predictive
R Integration
R Visualizations
Python Integration
Basic Augmented
Analytics
Advanced Predictions
Citizen Data Scientist
Planning
Basic Integration
Built in Capabilities
1.5 4.0 8.5 8.0 8.5 8.5 9.5
NOTE : Advanced Predictions is part of Power BI roadmap

Top 5 Reasons to Choose
Traditional BI (IT)
WEBI Lumira 2.X
Microsoft
Power BI
Tableau
Qlik
Sense
TIBCO
Spotfire
SAP
SAP
Analytics Cloud
Self Service BI (Business)
• Professional
Enterprise
Application Designer
Capabilities
• SDK component for
custom data access
and visualizations
• Live HANA using INA
based HTTP(S)
connectivity
• Live BW connectivity
using native BICS data
services
• Integration with SAP
BusinessObjects
Platform (BIP) and
inherits the folder
security
• Cloud based solution
for BI, Planning and
Predictive
• Intuitive collaboration
and commenting
features
• Subscription model
with regular updates
from SAP
• Digital Boardroom and
prepackaged analytic
content
• IBCS certified
visualizations with
Responsive UI for
mobile
• Free desktop and
integration with
O365 like Microsoft
Teams, Flow, etc.
• Good connectivity
to Microsoft and
Azure based data
sources
• Natural Language
Processing (NLP)
with Q&A features
• Extensive data
preparation and
modeling similar to
Excel
• Ease of use and
custom visuals for
the monthly
updated desktop
• Market leader in
the field of BI and
data visualization
• New tool for
extensive data
preparation –
Tableau Prep
• Revised pricing
model and active
community
• Ease of use and
robust data
connectivity with
support to
advanced functions
• APIs for
customizations and
collaborate features
in server
• Extensive data
discovery and
wrangling
capabilities
• Integrated
predictive and ML
features
• Big Data
connectivity for
high performance
analytics
• Advanced geo and
built-in location
analytics
• Collaboration in
the form of
comment chats
and annotations
• Free Qlik Sense
desktop and Qlik
Sense Cloud
• Extensive scripting
ability within
applications
• Powerful In-
Memory engine
with data-indexing
• Strong partner
network and
custom visuals
• Extensions in Qlik
Nprinting,
GeoAnalytics,
DataMarket and
Connectors
• Integrates really well
with SAP Universe,
thus connecting to
wide range of data
sources
• Provides
broadcasting
functionality to
distribute customized
reports in an
enterprise
• Ability to save the
variable selections
(variants),
commenting and
shared elements for
easy access
• Ad-hoc and formatted
reporting capabilities
• Built on Enterprise
scalable platform like
Business Objects

KEY
FEATURES
SAP
Microsoft
Power BI
Tableau
Qlik
Sense
TIBCO
Spotfire
WEBI Lumira 2.x Analytics Cloud
Connectivity &
Preparation 14.5 14.5 13.5 15.5 15.5 15.0 15.0
Visualization &
Exploration 4.5 6.0 6.0 6.0 6.5 6.5 6.0
Sharing &
Collaboration 5.5 5.5 5.0 6.5 6.5 5.0 7.0
Technology
Integration 7.5 7.5 6.5 7.0 7.0 6.5 6.5
Platform Features 8.5 8.5 7.5 7.0 8.0 7.0 8.0
Mobile BI 6.5 9.0 7.5 11.5 8.5 7.0 11.5
Advanced
Analytics 1.5 4.0 8.5 8.0 8.5 8.5 9.0
Self-Service BI
Traditional BI
Modern BI
ENTERPRISE BI ~ Self-Service BI + Traditional BI + Modern BI
NOTE : The ranking of tools is based on generic comparison (focused on SAP data sources) and would vary depending on client’s BI environment and analytical roadmap.
Power BI and SAP Analytics Cloud are expected to get massive updates as per the roadmap and frequent update cycles.
Other variable factors include Value, Ease of Use, TCO, Preferred Technology Stack, etc

Self-Service BI : Decision Tree
Recommendations

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VBI View
One Gateway for ALL BI Content
Value Driver Tree
For Dynamic Planning & Simulation
Visual BI Extensions
For SAP Lumira Designer (VBX)
DYNAMIC PLANNING, FORECASTING,
MODELING AND SIMULATIONS
• Sensitivity Analysis
• Periodic Reforecasting &
Variance Reporting
• Executive KPI Dashboards
• Business Modeling
• Strategic Goal
Setting
• Budgeting &
Planning
CHARTS MAPS
SELECTORS UTILITIES • Featuring Auto-Sync
• Smart Search
• Personalization
• Meta Data Repository
• Audit & Usage Reporting
• M&A BI Tool Consolidation
• SSO Integration
• Easy Setup & Maintenance
• Fully Secure

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Q&A

www.visualbi.com
THANK YOU! gopal
@visua
lbi.comGopal Krishnamurthy
gopal@visualbi.com
www.visualbi.com
Founder/CEO, Visual BI Solutions

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