Big Data & Analytics Heute & Morgen

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Big Data & Analytics

Heute & Morgen

Dipl.Ing.Wolfgang Nimführ

Business Development Executive Big Data Analytics

Watson Ambassador

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20 May 2015 Con.ect Informunity © IBM Corporation

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Untapped Resource

Empower Everyone

Increased Value

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Velocity is the game changer

What is your connected car?.

It’s not just how fast data is produced or changed, but the speed at which it must

be received, understood, and processed

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Today’s customers live out loud and expect

Personalization

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Paradigm shifts enabled by Big Data & Analytics

TRADITIONAL APPROACH

Analyze small subsets of information Analyzed information All available information

BIG DATA & ANALYTICS APPROACH

Analyze allinformation All available information analyzed

Leverage more of the data being captured

Data leads the way—and sometimes

Reduce effort required to leverage data

Leverage data as it is captured

Carefully cleanse information beforeany analysis

Small amount of c ar efully or ganized infor mation

Analyze information as is, cleanse as needed Lar ge amount of messy infor mation Hypothesis Question Data Answer TRADITIONAL APPROACH

Start w ith hypothesis and test against selected data

Explore alldata and identify correlations

Data Exploration

Correlation Insight

Repository Analysis Insight

Data

Analyze data afterit’s been processed and landed in a w arehouse or mart

Data

Insight Analysis

Analyze data in motionas it’s generated, in real-time

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IBM Analytics enables Decisions at Point of Impact

How can

you

generate more

Business

Value

Emerging

Focus on

Business

v

alue

Descriptive

Reporting

Prescriptive

Personalized

Predictive

Forecasting

Cognitive

Watson

What has happened?

What could happen?

How can I achieve the best outcome?

Tell me the best course of action?

Big Data

&

Analytics

Big Data

&

Analytics

Integrate and analyze ALL DATA of ANY FORMAT

Data Media Content Machine Social

Internal & External Data

New Dev Styles More People

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The Need for Big Data & Analytics is everywhere

Attract, grow, retain customers Create new business models Transform financial processes Manage risk Optimize operations and reduce fraud Improve IT economics • Data-driven Products and Services • Non-traditional Partnerships • Mass Experimentation

•Harness and Analyze all Data

•Govern All Data

•Optimize Analytic Workloads •Spectrum of Analytics •Global Operations •Infrastructure & Asset Efficiency •Fraud •Security •Financial Performance •Forecasting & Planning •Operational Performance •Financial Risk •Operational Risk and Compliance •Enterprise Risk Management • Acquisition • Personalization • Profitability • Retention

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© 2015 IBM Corporation 7 New / Enhanced Applications All Data Machine/Sensor Policy Broker Claims Social Media Location Litigation & Other 3rd_party Better and Indiv idual Pricing Enhanced 360 Degree View

Claims Analy tics & Real Time Fraud Detection

Batch or Real Time Next Best

Action

Inf ormation Sharing & Transparency

Big Data & Analytics Platform

Big Data & Analytics Strategy, Integration & Managed Services

Big Data & Analytics Infrastructure & Cloud

What is happening? Discovery and exploration What could happen? Predictive analytics and modeling Why did it happen? Reporting and analysis What did I learn, what’s best? Cognitive What action should I take? Decision management

Information Integration & Governance Landing, Exploration and Archive data zone EDW and data mart zone Operational data zone

Real-time Data Processing & Analytics

Deep Analytics data zone Machine/Sensor Machine/Sensor Machine/Sensor Policy Machine/Sensor Policy Machine/Sensor Machine/Sensor Machine/Sensor Policy Machine/Sensor Policy Machine/Sensor Broker Policy Machine/Sensor Broker Policy Machine/Sensor Claims Broker Policy Machine/Sensor Claims Broker Policy Machine/Sensor Social Media Claims Broker Policy Machine/Sensor Social Media Claims Broker Policy Machine/Sensor Location Social Media Claims Broker Policy Machine/Sensor Location Social Media Claims Broker Policy Machine/Sensor Litigation & Other 3rd_party Location Social Media Claims Broker Policy Machine/Sensor

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Landing, Exploration and Archive Data

IBM Hadoop

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Realtime Processing & Analyics Zone

IBM Streams

Mining in

Microseconds &

Statistics

Predictive

Advanced

Mathematical

Models

Natural

Language

Processing

Geospatial

Acoustic

Entities & Relationships

Image & Video

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Data Warehouse, Data Mart and Deep Analytics Zone

IBM PureData System for Analytics

What makes it different?

Speed

- 10-100x faster than traditional custom systems

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Simplicity

- minimal administration and tuning

Scalability

- petabyte+ scale user data capacity

Smart

- high performance, advanced analytics

Purpose-built analytics appliance

Integrated database, server and storage

Standard interfaces

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ASTRON Netherlands

Challenge

• Develop a resource- and energy-efficient way for astronomers to analyze unprecedented amounts of unstructured data and gain insight into major

astronomical questions, like to explore the origin of the Universe

Solution

• A streaming analytics platform running on energy-efficient exascale supercomputing technology.

Benefits

• Accelerates identification of relevant images and data by approximately 99 percent making info. available to astronomers in minutes vs. days • Streaming analytics platform facilitates daily

analysis of over one exabyte of data; twice the amount generated by daily Internet traffic

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Dublin City Council

Challenge

• Improve public transport services by providing dynamic, near-real-time views to better gauge if its 1,000 buses is operating on time.

Solution

• Data from GPS-equipped buses displays the near-real-time position of them allowing controllers to locate delays and identify root causes. Predictive analytics take into account speed, traffic flow and other factors to generate up-to-date bus arrival and transit times estimates.

Benefits

• Dynamic, near-real-time view of bus activity ensures they run on time and riders receive excellent service.

• Controllers can more quickly identify early stage congestion and mitigate impact

• Can effectively manage resources and optimize bus routes which saves energy and reduces pollution

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NYPD

Challenge

• Integrated crime data in real time in order to dramatically reduce crime rates

Solution

• A real-time Crime Information Warehouse that makes NYPD more proactive and effective in fighting crime.

Benefits

• Support for proactive policing tactics since crime trends can be seen as they are happening

• Faster and higher rate of case-closing through efficient crime-related data analysis • Improved data integrity and speed of data

access to optimize decision making

• Improved officer safety through better risk-assessment capabilities

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City of Toulouse

Challenge

• Find new ways to capture its citizens concerns and use analytics to identify and prioritize urgent issues as well as understand how messages are resonating

Solution

• A social data analytics solution to analyze citizens’ needs posted on public social media, taking into account factors including context, content and sentiment.

Benefits

• Collected and analyzed more than 1.6 million comments enabling the city to identify issues with precision.

• Accelerated its average response time to road-maintenance issues by 93 percent, from 15 days to 1 day.

• Able to identify and address residents’

misconceptions and concerns and gain support of a revitalization project.

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Honda

Challenge

• Improve product quality while minimizing money and time by conducting real-time predictive maintenance

Solution

• Using SPSS software, Honda is able to employ an IBM predictive maintenance and quality solution that leverages powerful analytics and data integration

Benefits

• Provides real-time predictive maintenance so that data streamed directly from the vehicle can be analyzed for performance

• Able to analyze and predict warranty issues which will help prevent future related

problems

• Improved asset productivity and process quality

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Wissenschaftliches Institut der

AOK

Challenge

• Collect and analyze clinical data from millions of patients, 2,000 hospitals, 140,000 mobile medics and 20,000 pharmacies to understand healthcare trends

Solution

• An advanced business analytics platform to

understand healthcare trends, including when and why people get sick, which treatment pathways work best, which medications are prescribed, how illness affects productivity and more.

Benefits

• Shortened analysis times from over two hours to a few seconds; over a 99 percent improvement • Enabled the processing of more complex

analytical tasks, from formally defined analysis applications to ad hoc queries

• Expanded the institute’s reach in multidisciplinary, geographically broad studies, allowing it to

analyze much larger data volumes

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TerraEchos uses Big Data

with Covert Intelligence and

Surveillance Sensor Systems

Capabilities

• InfoSphere Streams

Need

• Deployed security surveillance system to detect, classify, locate, and track potential threats at highly sensitive national lab

Benefits

• Reduces time to capture and analyze 275MB of acoustic data from hours to one-fourteenth of a second

• Enables analysis of real-time data from different types of sensors and 1,024 individual channels to support extended perimeter security

• Enables a faster and more intelligent response to any threat

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Vestas optimizes capital

investments based on

2.5 Petabytes

of information

Need

• Model the weather to optimize placement of turbines, maximizing power generation and longevity

Benefits

• Reduce time required to identify placement of turbine from weeks to hours

• Reduces IT footprint and costs, and

decreases energy consumption by 40 % --while increasing computational power • Incorporate 2.5 PB of structured and

semi-structured information flows. Data volume expected to grow to 6 PB

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Memorial Sloan-Kettering

Cancer Center

Challenge

• Transform the quality and speed of care delivered to patients through individualized, evidence based medicine using cognitive computing

Solution

• IBM Watson applies big data and analytics and cognitive computing by processing, analyzing and interpreting complex clinical information to improve health care quality and efficiency

Benefits

• Provides individualized treatment options through insights gleaned from cognitive systems

• A first of-its-kind Watson cloud based advisor identifies individualized treatment options for cancer patients

• Oncologists located anywhere can remotely access detailed treatment options

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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 care

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Video: Watson Anayltics

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25 to 29 October, Las Vegas

ibm.com

/software/de/events/get-insight/

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bigdatauniversity

.com

ibm.com/analytics/us/en/technology/

spark

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Dipl.Ing.

Wolfgang Nimführ

Business Development Executive Big Data Analytics &

Watson Foundation IBM Analytics Group

IBM Austria

Obere Donaustraße 95 A1020 Vienna Tel +43-664-618-5389

[email protected]