Robert Lecklin - BigData is making a difference

© 2014 IBM Corporation

Big Data is making a big difference

BusinessConnectA New Era of Smart10/01/2014

Robert LecklinNordic Big Data Sales Leader+46 70 793 [email protected]

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© 2014 IBM Corporation2

Agenda

Big Data – Hype or reality?

Customer stories and use-cases

The IBM Big Data platform

Where should you start?

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Dilbert on Big Data – “It is Everywhere!”

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Businesses are “dying of thirst in an ocean of data”

80%of the world’s data

today is unstructured

90% of the world’s data was created in the

last two years

1 in 2Business leaders don’t have access to data they need

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Welcome to the Big Data Opportunity

“The list of life's certainties has gotten longer.

Along with death and taxes we can now include information overload.”

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“We have for the first time an economy based on a key resource [Information] that is not only renewable, but self-generating. Running out of it is not a problem, but drowning in it is.”

– John Naisbitt Source, Megatrends, Naisbitt, John, Grand Central Publishing 1988

“We are not suffering from Information Overload. We are suffering from Filter Failure.”

– Clay ShirkySourcehttp://www.ted.com/talks/view/lang/en//id/575

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University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies

University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies

Need• Performing real-time analytics using

physiological data from neonatal babies

• Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner

• Early warning gives caregivers the ability to proactively deal with complications

Benefits• Detecting life threatening conditions 24

hours sooner than symptoms exhibited

• Lower morbidity and improved patient care77

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Public wind data is available on 284km x 284 km grids (2.5o LAT/LONG)

More data means more accurate and richer models (adding hundreds of variables)

- Vestas wind library at 2.5 PB: to grow to over 6 PB in the near-term

- Granularity 27km x 27km grids: driving to 9x9, 3x3 to 10m x 10m simulations

Reduced turbine placement identification from weeks to hours

Perspective: The Vestas Wind library, as HD TV would take 70 years to watch

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On February 14, 2011

made history

Grand ChallengeBuild a system that rivals a human’s ability to answer questions posed in natural language with accuracy, confidence, and speed.

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2014

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Watson in action During Jeopardy!

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Systems of Record Systems of Engagement

Data

Value Created

Transformational shift

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Insight Drives Key Business ImperativesCreate new

business models

Optimize operations; counter threat & fraud

Attract, grow, retain customers

Transform financial

processes

Manage risk

Maximize insight, ensure trust, improve IT economics

Big Data & AnalyticsBig Data & Analytics

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Big Data ExplorationFind, visualize, understand all big data to improve decision making

Enhanced 360o Viewof the CustomerExtend existing customerviews by incorporating additional internal and external information sources

Operations AnalysisAnalyze a variety of machinedata for improved business results

Data Warehouse AugmentationIntegrate big data and data warehouse capabilities to increase operational efficiency

Security/Intelligence ExtensionLower risk, detect fraud and monitor cyber security in real-time

The Key Use Cases

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Systems SecurityOn premise, Cloud, As a service

Storage

IBM Big Data & Analytics Infrastructure

New/Enhanced Applications

All Data

Real-time analytics zone

Enterprise warehouse data mart and analytic appliances zone

Information governance zone

Exploration, landing and archive zone

Information ingestion and operational informationzone

Why did it happen?

Reporting, analysis,content analytics

What is happening?Discovery and

exploration

What action should I take?

Decisionmanagement

What could happen?

Predictive analyticsand modeling

CognitiveFabric

The new foundation for leveraging all analytics and harnessing all data

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Storage






What could happen?



Decisionmanagement


explorationWhy did it happen?


CognitiveFabric




All Data



Why did it happen?


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Storage






What could happen?



Decisionmanagement




CognitiveFabric




All Data


exploration


A New Era of Smart



Storage






What could happen?



Decisionmanagement




CognitiveFabric




All Data


What could happen?


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Top Information Sources

Big data sources

Respondents with active big data efforts were asked which data sources are currently being collected and analyzed as part of active big data efforts within their organization.

88%

73%

59%

57%

43%

42%

42%

41%

41%

40%

38%

34%

92%

81%

70%

65%

27%

19%

36%

47%

32%

0%

21%

22%

Transactions

Log Data

Events

Emails

Social Media

Sensors

External Feeds

RFID Scans or POS Data

Free-form Text

Geospatial

Audio

Still Images / Videos

Banking & Fin Mgmt respondents

Global respondents

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Analytical Intelligence - The “New path to value” is an approach to operationalizing analytics –

Recommendation 1:Focus on the biggest and highest value opportunities

Recommendation 2:Within each opportunity, start with questions, not data

Recommendation 5:Use an information

agenda to plan for the future

Recommendation 3:Embed insights to drive actions and deliver value

Recommendation 4:Keep existing

capabilities while adding new ones

Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute of Business Value study. Copyright © Massachusetts Institute of Technology 2010.

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Summary –raise your organizations analytical intelligence

1. Focus on time to value and business outcome which keeps line of business engaged and involved e.g. Pilots and proof-of-concepts

2. Start small and think big. It will take time to build a culture around data and insight and there is no need to over engineer the solutions.

3. Engage IBM if you need access to expertise, technology or help to create and develop and validate use-cases and business cases 1. IBM SWG have Big Data industry experts available free of charge2. Our solutions are available at IBM clouds for testing and enablement3. IBM runs regular Proof-of-technologies in Kista e.g. 16th October 20144. We have all our software available in our customer centers e.g. Kista, Stockholm5. Watch youtube and http://bigdatauniversity.com/6. IBM Insight Conference

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