endless business possibilities of big data

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The Endless Business Possibilities of Big DataTimo Elliott, Global Innovation Evangelist, SAP @timoelliott

Big Data Is…

Process dataHuman data

Machine data

© 2014 SAP AG. All rights reserved. 4Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012

Unstructured50TB

Semi-structured2 TB

Structured12 TB

Only

12%used today

Average data volume per company

9 TB 75 TB

0.6 TB 5 TB

4 TB 50 TB

SMBs: LEs:

Base: 634 business intelligence users and planners

Companies don’t use most of their data

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Big Data is at Peak of Inflated Expectations…

Source: Gartner

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Benefits from Big Data Initiatives

Source: Information Difference Research Study: “Big Data Revealed”

1. “DON’T KNOW” (51%)

2. Identified new business opportunities (31%)

3. Improved operational efficiency (11%)

4. More reliable decision making (9%)

5. Identified new product opportunities (6%)

Back To The Future…

Petabytes

DataScientists

+ IoT

Big Data

Descriptive:What happened?

Diagnostic:Why did it happen?

Predictive:What will happen?

Prescriptive:How can we make it happen?

Taking Analytics To The Next Level

Inertia

Comfort level

Low-hanging fruit

Common tools

Low skills required

Little data needed

Limited data or app integration required

Lack of experience

Scary “black box” algorithms

Challenging problems

Sophisticated tools and techniques

Data science and big data skills

High volume, velocity, variety data

Significant data and/or application integration

cloud

data

mobileMORE!

sensorsspeed

social

There’s Been An Explosion of New Technology

10

Big Data Discovery =

Big DataData DiscoveryData Science

Gartner Strategic Planning Assumption: By 2017, Big Data Discovery Will Evolve Into a Distinct Market Category

Big Data Discovery

• Volume, velocity, or variety of data

• Potential business impact

• Difficult to implement• Potentially expensive• Lack of skills available

• Ease of use• Agility and flexibility• Time-to-results• Installed user base

• Complexity of analysis

• Potential impact• Range of tools• Smart algorithms• Difficult to implement• Slow and complex• Narrow focus of

analysis

• Limited depth of information exploration

• Low complexity of analysis

BIGDATA

DATASCIENCE

DATADISCOVERY

Big Data Discovery

• Simpler to use than data science

• Accessible to a wider range of users

• Broad range of data manipulation features

• Able to handle new types of data sources

• With adequate performance for big data

BIG DATA

DISCOVERY

Potential impact per user

Potential user base

The Rise of the Citizen Data Scientist

Business analyst

Data scientist

Citizen data scientist

Big Data Discovery From SAP

Big Data

Discovery

SAP HANA (+ Hadoop etc.)

SAP Predictive Analytics 2.0

SAP Lumira

Big Data Discovery From SAP

DEMOBIG DATA

DISCOVERY

SOCIALANALYTICS

MOBILEAPPLICATIONS

CLOUDNETWORKS

From Technology to Simple Business Innovation

SIMPLE

Hyper-personalizeCustomer Experience

Plan & optimizeResources in Real-time

Engage & empowerWorkforce of the Future

Harness the intelligence ofNetworked Economy

Key Areas of Opportunity

CUSTOMERENGAGEMENT

Reinvent Luxury Service

20© 2014 SAP AG or an SAP affiliate company. All rights reserved.

Burberry

The benefits of the SAP HANA platform are significant with a hugely simplified footprint.

We’re putting the whole business on the SAP HANA Enterprise cloud ”

“

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Listening to Customers

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Improving Customers LivesCombine structured and unstructured data for

complaint handling and patient experience reporting

“The improved information flow allows Medtronic to address product performance issues efficiently, accurately, and effectively and to detect trends at an earlier stage.”

New Products & Services

Connected Cars

Henrik Lundqvist

Gustav Nyquist

National Hockey League

EMPLOYEEEMPOWERMENT

Empowering Individual Performance

University of Kentucky“Saving 1% in Student Retention can save my University’s bottom line $1M a year”

Empowering Employees

Predictive HR? : Employee Will Leave Within 12 Months

RESOURCEOPTIMIZATION

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Unilever

“if we knew then what we know now, we would have started deploying SAP HANA much earlier, because it’s so important for business... We think it’s even more disruptive than we initially thought — we’ve only just started” 

Marc Béchet, VP Global IT ERP, Unilever

Textile Rubber & Chemical Company500 Employees, 4 internal IT staffBusiness Suite on HANA

Why in-memory? Because it simplified our IT Landscape

In 5 minutes we could see more information than we could in the last 7 months ”

“

Internet of Things

Sensors Enable New Processes and Applications

Weissbeerger Beverage Analytics

Transport For London

Smart Washrooms

Networked Crane Safety

The Datification of Truck Tires

© 2014 SAP AG. All rights reserved. 41

Aggregate Insights

Kaeser Compressor

“Our predictive maintenance solution has enabled us to proactively attend to maintenance needs and

increase service levels for customers“

Drones

Predictive Maintenance

DEMO

NETWORKEDECONOMY

Networked Economy: The Next Economic Revolution

All figures are in Trillions; 1990 international dollars; Source: Department of Economics, UC Berkeley, BAIN 8 MacroTrends Brief.

1850

Industrial economy

$0.36T

IT economy

1970

$12.10T

1990

Internet economy

$27.50T

2020

Networked economy

$90.0TGrossworld

product

Information Ecosystems

47

CONCLUSION

Hyper-personalizeCustomer Experience

Plan & optimizeResources in Real-time

Engage & empowerWorkforce of the Future

Harness the intelligence ofNetworked Economy

Let us work with you to help you run better

Packaged Applications

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DESIGNTHINKING

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Thank you!

timoelliott.comtimo.elliott@sap.com

@timoelliott