Mobile Analytics

Why Big Data is Not Just For Big Companies

Manju Bansal Sr. Director, Ecosystems & Channels Product Marketing

SAP

© 2012 These slides may not be copied or reproduced without written permission from SAP 2 Conf idential

3 Trends Today

Big Data explosion

Faster Pace of Business

Leaping Tech Cycles


What Exactly is Big Data?

Typically, a collection of data sets

that are:

Large and complex

Difficult to work with using standard

database management tools

Challenging to manage in terms of data

capture, storage, search, analysis, and

timeliness

“Without Big Data, you are blind and

deaf and in the middle of a freeway”

– Geoffrey Moore


Where is All This Data Coming From?

Transactional systems

CRM

Analytical systems

Social media

Supply chain

Mobile devices

Shop-floor sensors

Other

Mobile

CRM Data

Planning

Opportunities Transactions

Customer

Sales Order

Things

Instant Messages

Demand

Inventory


Why Does It Matter?

Transformational Business Value From Data

New Strategies &

Business Models Operational

Efficiencies

Business

Value

Drive Better Profit Margins


How Does Big Data Enable Business Transformation?

Helps business owners solve

these critical data issues.

• Answer questions in real time,

without an interruption or delay

• Gain insights by connecting many

different sources of information

• Record all information related to the

business for future analysis/reporting

Velocity

Volume Variety

Mobile

CRM Data

Planning

Opportunities Transactions

Customer

Sales Order

Things

Instant Messages

Demand

Inventory


But We Are Not a Big Company….

Big Data is NOT about how big or small the company is, it is about using data

as a competitive advantage

Retail

Imagine if you could enable shop floor staff to quickly gain access to specific customer data while the customer was in the store (or online) so that they could provide

personalized (best match) services.

Wholesale Distribution

Imagine if you could rapidly and easily segment large customer populations and create customized offers for each segment and channel.

Manufacturing Imagine if you could determine how many parts were manufactured over time, their

costs, defect rates, any manufacturing inefficiencies, and all this could be done for each discrete batch of products made, so you could predict malfunctions before they

happened.

Cross Industry

Imagine gaining insight into market trends & customer perception of brands and products by combining information from CRM with unstructured data from online

channels like social media, wikis, and more.


Case Studies

"The ability to assess the complex risk of funding a supplier in a split second is

just something that has never been possible…This opens an incredible new field

of financial applications, such as Taulia's Dynamic Discounting and Early Payment

solutions, but those are just the start. At Taulia, we can now understand more

data, more quickly, and more effectively than ever before.”

Markus Ament, Chief Product Officer


Case Studies

“The combined solution enables users to analyze aggregated information from

multiple social media channels, identify influencers and persons of interest and

bring this social view into SAP CRM… The 300x performance boost provided by

SAP HANA is the reason that the solution can quickly carry out matching between

CRM and Social Media data and perform segmentation at high speeds.”

Lou Leporace, VP Product Marketing


So, How Do We Start?

Identify a trusted software vendor / partner

You will need a partner in this journey, find someone whom you can trust and who has the

critical experience in your area

Define the pain point you wish to address

If you wish you could know more about / do certain things, what would that picture look like?

Identify clearly the 2-3 pain points that you want to address (e.g. customer insight, social

media sentiment, supply chain efficiency etc)

Inventory your data streams

Get a detailed look at where the data resides, where it is coming from, the frequency of the

data etc

Run a pilot

Test, improve, rinse, repeat


How Do We Know We Even Have a Big Data Problem?

You need Big Data solutions if your current IT systems limit your ability to:

Analyze Visualize Predict Report Capture


Managing Volume, Velocity, Variety is Not Enough

Turn Big Data Into Intelligent Data

Big Data Intelligent

Data Business

Results

Visibility

Versatility

Value

Volume

Velocity

Variety


Turn Big Data Into Intelligent Data

With SAP You Can

Answer & analyze

any question

in real-time

Simplify your IT landscape to transact, analyze and act instantly

Answer questions at the speed of thought

Build a

photographic

memory of your

enterprise

Store and analyze all data within your enterprise

Access detailed records from any point in time

Personalized

insights to

everyone,

everywhere

Build a culture of data-driven decision making

Give all business stakeholders access to information wherever they are

Action 2

Action 1

Action 3

100101 011010 100101

Unlock business

value from diverse

data sources

Identify high-value information from mountains of data

Drive insights to where they deliver business value


SAP Real-time Data Platform

Optimized for All Big Data Applications

Enterprise Information Management

Custom

Apps

Open Developer API’s and Protocols

SAP Sybase Replication Server

SAP Data Services

SAP HANA Platform

SAP MDG, MDM, DQ

SAP Real-time Data Platform

SAP Sybase IQ SAP Sybase ASE

SAP Sybase SQLA

SAP Sybase ESP

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3rd Party

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SAP Business

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SAP Business

Warehouse

SAP Big Data

Applications SAP Analytics

SAP

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SAP NetWeaver (On Premise/Cloud)

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[email protected]

[email protected]

mailto:[email protected]

mailto:[email protected]

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