AllAccessSAP 2012 Finale - SAP Slides (incl links)

SAP BusinessObjects- All Access Webinar

Mani Srinivasan
Charles Gadalla
Ian Mayor

Legal Disclaimer

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without
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incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except
if such damages were caused by SAP´s willful misconduct or gross negligence.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results
to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-
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purchasing decisions.

© 2012 SAP AG. All rights reserved. 2

Agenda

BI Spectrum

Data Discovery & Analysis

Dashboards and Applications

Q&A and wrap up


Full Spectrum Business Intelligence

Data Discovery and
Dashboards and Apps Reporting
Analysis

Discover. Predict. Act. Build Engaging Experiences Share Information

Discover areas to optimize Deliver engaging information Securely distribute information
your business to users where they need it across your organization

Adapt data to business needs Track key performance Give users the ability to ask
indicators and summary data and answer their own
Tell your story with beautiful questions
visualizations Build custom experiences so
users get what they need Build printable reports for
quickly operational efficiency


SAP Visual Intelligence

Manikandan Srinivasan

FAST
Get answers at high speed

ENGAGING
Empower people to
interrogate data – big and
small

SELF SERVICE
Without having to ask for
IT’s help

With SAP Visual Intelligence, You …

Acquisition Transformation Visual Analysis Sharing

Acquire data from a Dynamically combine Insight from structured Send your
variety of sources multiple sources and unstructured data visualizations and
including: personal, without scripting dataset by Email or
direct connectivity, Flexibly and iterative Streamwork
and via semantic layer Cleanse, add workflow makes
calculations, custom discovery insight Publish a new View
Stored in columnar groupings, etc engaging and on Hana
store for lightning fast powerful
experience Save to BIP as
Explorer Info Space


The Starting Point for Your Questions

Search
Explorer
Web Explorer Cloud
Explore Mobile
Share

Acquire
Visual
Transform Intelligence

Visualize


With SAP You Empower the Whole Team

With Visual Intelligence I spend less
With Explorer I have dynamic
time transform the data to match the
access to all the information I
needs of the changing business, and
need to make my decision, no
more time on visually discovering
matter where and when I need it
insights

Plant Warehouse Consumers
Suppliers Distributor Retailer


Where to Find More Information

Web site – www.sap.com/visualintelligence

Trial – www.sap.com/tryvisualintelligence

SCN – scn.sap.com/community/visual-intelligence

Blog – blogs.sap.com/analytics

Videos – www.youtube.com/playlist?list=PL8FF03148AD0742B1

Twitter feed – twitter.com/#!/search/%23sapvisi


Predictive Analytics from SAP
Transforming the Future with Insight Today
Charles Gadalla
October 2012

SAP – why predictive now?

Increased Business Increased Data Value Increasing Technology
Interest (Big Data) Performance

Answer more sophisticated Exploding data volume Create efficient business
questions Expanding data varieties models
Resolve real-time problems Invest in data to get value Reduce data processing
time

Changing landscapes and new opportunities

Today, Predictive is an Island
Specialization

Predictive
Analytics
Data
Discovery

Reporting

Business
Intelligence
Enterprise Analysis Dashboards
Information
Management

Chasm Skill Set

There is a disconnect between the BI and Advanced Analytics world


SAP Brings BI and Predictive Together
Specialization

Predictive
Analytics
(with BI interoperability
Data & data discovery)
Discovery

Reporting

Business Intelligence
Information
Management

Skill Set


SAP’s Vision – Unified Analytics

UNIFIED
Specialization

ANALYTICS
Predictive
Data
Analytics
Discovery

Reporting

Business Intelligence

Information
Management

Skill Set


SAP’s Predictive Analytics Strategy

In-time Actionable
Empower the Business In Context
Insights

Extend the Business In-memory processing Relevant to your business
Intelligence competency to Within the context of your
No data latencies
Advanced Analytics Industry and LOB scenario
Big Data ready
Embed Predictive into Apps
and BI environments
Lend expertise

Real-time in-memory predictive and
next generation visualization and modeling

MKI Uses SAP HANA to Speed Cancer
Research and Improve Patient Support

Company Objectives
MITSUI KNOWLEDGE
INDUSTRY
Reduce delays and minimize the costs associated with new drug
discovery by optimizing the process for genome analysis
Faster
Genome analysis
Improve and speed decision making for hospitals which conduct
Headquarters cancer detection based on DNA sequence matching
Tokyo
Why SAP Better
High-performance real-time computational capabilities of SAP HANA Insight to support the needs of
Industry
Ability to leverage the combination of SAP HANA, R, and Hadoop to cancer patients in real-time
IT services
store, pre-process, compute, and analyze huge amounts of data
Products and Services
Services to pharmaceutical
Breadth of predictive analytics libraries
Greater
companies, universities and Benefits Personalization to individual
research institutes Reduced time of genome analysis from several days to 20 minutes patient needs
making real-time cancer/drug screening possible
Employees For pharmaceutical companies, ability to provide required new drugs
on time and aid identification of “driver mutation” for new drug targets
1,990
Able to provide a one stop service including genomic data analysis of
cancer patients to support personalized patient therapeutics
Web Site
www.mki.co.jp

“Our solution is to incorporate SAP HANA along with Hadoop and R to
create a single real-time big data platform. Data mining will be handled by
R and assisted by HANA. Data pre-processing prior to data analysis and
high-speed storage will be managed by Hadoop. With this we have found
a way to shorten the genome analysis time from several days down to
only 20 minutes.”
Yukihisa Kato, CTO and Director of MITSUI KNOWLEDGE INDUSTRY

© 2012 SAP AG. All rights reserved. CMP00000 (12/04) 17

Where SAP has helped customers with
Predictive Analytics in Industry
Retail and Consumer Products Financial Services Manufacturing & Utilities

Demand forecasting and insights Price optimization Demand simulation for
Market basket insights and KVI Product and portfolio optimization configurable products
Markdown (and price) Market segmentation Supply chain optimization
optimization Corporate and credit risk Load demand modeling and
Size and zone optimization management forecasting
Inventory Optimization Customer retention, Smart Energy Meter analytics
Promotional Assessments segmentation Customer service, customer
Identify geographic trends and Cross- and up-selling, customer lifetime value
performance lifetime value Asset efficiency: spare parts,
outages, inventory, risk

Public Sector & Healthcare High Tech & Telco

Fraud, Waste and Abuse discovery Sales Forecasting, Enablement
Analytics enhancement for billing and category management
Customer experience
Crime trends and At Risk analytics
Buyer classification
Predict community movement within
taxing districts Demand insights
Predict likelihood of disease
Identify clinical trial outcomes


SAP Predictive Analysis screenshot


SAP BusinessObjects Dashboarding
Update

Today: two experiences to cover customer needs

SAP BusinessObjects Dashboards SAP BusinessObjects Design Studio

Visually compelling dashboards across BI applications and guided analysis on
multiple sources and kinds of data top of multi-dimensional data


We have a three-phase long term statement of direction

MOBILIZE VISUALIZE UNIFY

Dashboards

Design
Studio


Phase One: Mobilize
Information at the hands of all users across the organization

Build dashboards and interactive applications for mobile
Same authoring environment for mobile and web
Preview and test environments
Take advantage of mobile interface and gestures

Integrated into the BI Platform
Deploy easily and securely
Single application for all content
Annotation and collaboration

Delivered
Design Studio 1.0 for applications and guided analysis on BW
and HANA
Dashboards 4.0 SP5 for dashboards accross relational data
sources


Phase Two: Visualization and Extensibility

Modern customizable visualizations
Additional mobile component support in Dashboards
New visualization engine based on open standards in Design
Studio

Extensible framework
Dashboards SDK for building mobile components
Component add-on SDK for Design Studio

Upcoming Releases
Dashboards 4.1 (planned first half 2013)
Design Studio 1.1 (planned first half 2013)
Design Studio 1.2 (planned second half 2013)


What should I choose today?

The first question to ask: Is your data source HANA, BW, or something else?

If your source is HANA or BW, you should look to Design Studio first for
building your dashboards and apps and switch to Dashboards if you need
specific functionality (eg third party components or the Flex SDK)

If you are building on top of Universes or any other data source, continue
with current best practices using Dashboards.

There are no plans to end-of-life or discontinue either product.


Wrap up Business Intelligence

Data Discovery and
Dashboards and Apps Reporting
Analysis

Discover. Predict. Act. Build Engaging Experiences Share Information

Discover areas to optimize Deliver engaging information Securely distribute information
your business to users where they need it across your organization

Adapt data to business needs Track key performance Give users the ability to ask
indicators and summary data and answer their own
Tell your story with beautiful questions
visualizations Build custom experiences so
users get what they need Build printable reports for
quickly operational efficiency


Upcoming ASUG Webinars on SAP BusinessObjects BI
Dashboarding & Data Visualization

JOIN ASUG for FREE(complementary throughout 2013 for companies that run SAP
BusinessObjects only) at learn more about the future of SAP BusinessObjects BI with webinars
conducted by ASUG and SAP that take a deeper look into each of these topics:

ASUG BI Community – SAP BusinessObjects BI webinars
Timeline Webcast Topic
Q1 2013
SAP Design Studio – Overview and Product Positioning
SAP Design Studio – Creating simple applications
SAP Design Studio – Creating complex applications
SAP BusinessObjects Explorer with BW on HANA
Dashboards - How to mobilize you existing content
SAP Predictive Analysis – Overview and Product Positioning
Q2 2013
What is new in SAP BusinessObjects Dashboards 4.1
What is new in SAP Visual Intelligence 4.1
What is new in SAP BusinessObjects Explorer 4.1
SAP BusinessObjects Design Studio – Q&A with the SAP team
SAP Predictive Analysis – Customer Success Story


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