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Smarter Analytics and Big Data
Building The Next Generation
Analytical insights

Joel Waterman
Regional Director, Business Analytics Middle East & Africa
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O’Reilly:27.4.2011, Got Iphone, Apple is recording your moves
TomTom Caught Selling Speed Data to Dutch Police
           PcWorld 28. April 2011
Why Business Analytics Matter
Eight out of ten CEOs expect complexity to        Enterprises that apply advanced analytics
increase significantly in the next five years;    have 33% more revenue growth and 12X
insight and intelligence is ranked a top 3        more profit growth.
priority.
                         - CEO study 2010                               – CFO study 2010

Financial outperformers are 64% more likely       CIOs rank analytics as the #1 factor
to use analytics to evaluate talent supply and    contributing to an organization’s
demand on an ongoing basis.                       competitiveness.

                       – CHRO study 2010                                – CIO study 2009

Top-performing enterprises use business analytics 5 times more than lower performers.
                            – 2010 joint study, MIT and IBM Institute for Business Value
Why Business Analytics Matter
The Need for Analytics is Pervasive Across Business and Industry

              The healthcare industry spends $250 - $300 billion on healthcare fraud,
              per year. In the US alone this is a $650 million per day problem.1


              One rogue trader at a leading global financial services firm created
              $2 billion worth of losses, almost bankrupting the company.


              $93 billion in total sales is missed each year because retailers don’t
              have the right products in stock to meet customer demand.


              5 billion global subscribers in the telco industry are demanding unique
              and personalized offerings that match their individual lifestyles. 2

                                           Source: 1. Harvard, Harvard Business Review, April 2010.
                                                    2. IBM Institute for Business Value, The Global CFO Study, 2010.
IBM is Making Significant Investments in Smarter Analytics

    Investment                            $ 16B for 30 acquisitions since 2005
                                         8 Analytic Solutions Centers worldwide

Technical Expertise                    More than 10,000 technical professionals
                                   9,000 consultants delivering IBM analytics solutions

                                 Power7: workload optimized analytic processing
   Technology                                 Smart Analytics cloud
                          Comprehensive, heterogeneous Big Data platform for the Enterprise

                                 World’s largest math department in private industry
                               FOAK breakthrough innovations including IBM Watson
    Research
                       Number 1 in patent ranking for 19 years and more than 500 analytics-related
                                              patents / year for last two years


Business Partners                   More than 27,000 Business Partner certifications
Imagine the Possibilities of Analyzing All Available Data
               Faster, More Comprehensive, Less Expensive

 Real-time Traffic           Fraud & risk         Understand and act on
Flow Optimization             detection            customer sentiment




Accurate and timely       Predict and act on       Low-latency network
  threat detection        intent to purchase             analysis
IBM Software Day 2013. Smarter analytics and big data. building the next generation of analytical insights
Cisco turns to IBM big data
    for intelligent infrastructure
            management
•   Optimize building energy consumption with
    centralized monitoring
•   Automate preventive and corrective maintenance

Capabilities Utilized:
     •     Streaming Analytics
     •     Hadoop System
     •     Business Intelligence

Applications:
      •    Log Analytics
      •    Energy Bill Forecasting
      •    Energy consumption optimization
      •    Detection of anomalous usage
      •    Presence-aware energy mgt.
      •    Policy enforcement
Harnessing the Largest Predictive Focus Group in the World

Purpose
  • Understand public sentiment towards an event:
    movie trailers
  • Deeply understand the potential customer profile:
    gender, occupation, intent to watch
  • Alter marketing launch plans based on insight

Background
  • 1.1 Billion Tweets analyzed
  • 5.7 Million blogs/forum posts
  • 3.5 million messages
  • Also: Facebook, Google+, Tumblr, Flickr
Conclusion – Actionable Insight


Adjust the marketing launch plan before
execution begins


• Creative – adjust messaging

• Trailers – alter scenes shown

• Budget – re-direct, increase, or decrease

• Execution – theatre placement, advertisement
 placement
IBM Big Data Platform
IBM Big Data Strategy: Move the Analytics Closer to the Data

                                                                 Analytic Applications
New analytic applications drive the              BI /Reporting Exploration /
                                                               Visualization
                                                                               Functional
                                                                                  App
                                                                                            Industry
                                                                                              App
                                                                                                       Predictive
                                                                                                       Analytics
                                                                                                                    Content
                                                                                                                    Analytics

requirements for a big data platform
                                                                IBM Big Data Platform
   •   Visualize all available data for ad-hoc        Visualization             Application              Systems
       analysis                                       & Discovery              Development              Management
   •   Development environment for building
       new analytic applications                                                 Accelerators
   •   And a whole lot good solid IT stuff...
                                                          Hadoop                  Stream                   Data
                                                          System                 Computing               Warehouse




                                                               Information Integration & Governance
Big Data Platform - Hadoop System

• Manages a wide variety and huge volume of data
• Augments open source Hadoop with enterprise
  capabilities

    • Performance Optimization
    • Development tooling
    • Enterprise integration
    • Analytic Accelerators
    • Application and industry accelerators
    • Visualization
    • Security
DC WATER
IBM’s Hadoop System provides unique business value


•   Integration with enterprise systems
•     Industry & application accelerators
•     Templates for quick starting app dev
•   Visualization tools to help business users
    to explore big data
Big Data Platform - Stream Computing


 Built to analyze data in motion

• Multiple concurrent input streams
     • Massive scalability


 Process and analyze a variety of data

     • Structured, unstructured content,
       video, audio
     • Advanced analytic operators
Asian telco reduces
billing costs and improves
customer satisfaction

Capabilities:

      Stream Computing
      Analytic Accelerators

Real-time mediation and analysis of
  6B CDRs per day
Data processing time reduced from
  12 hrs to 1 sec

Hardware cost reduced to 1/8th
Proactively address issues
  (e.g. dropped calls) impacting customer
  satisfaction.
Stream Computing provides unique business value


•   Real-time answers = Better outcomes for time sensitive
    applications (e.g. fraud detection, network management)


•   Solution when data is too large or expensive to store
     •   Analyze data as it comes to you

     •     Keep data of interest for deeper analysis
Big Data Platform - Data Warehousing


 Workload optimized systems
     • Deep analytics appliance
     • Configurable operational analytics appliance
     • Data warehousing software


 Capabilities
     • Massive parallel processing engine
     • High performance (OLAP)
     • Mixed operational and analytic workloads
Deep Analytics Appliance – Revolutionizing Analytics

Purpose-built analytics appliance
                                                                  Dedicated High
                                                                  Performance
                                                                  Disk Storage
Speed: 10-100x faster than traditional systems
Simplicity: Minimal administration and tuning
Scalability: Peta-scale user data capacity
Smart: High-performance advanced analytics
                                                                  Blades With
                                                                  Custom FPGA
                                                                  Accelerators
Pacific Northwest Smart Grid
Demonstration Project
Capabilities:

     Stream Computing – real-time
     control system

     Deep Analytics Appliance – analyze
     massive data sets

Demonstrates scalability from 100 to
500K homes while retaining 10 years’
historical data

60k metered customers in 5 states

Accommodates ad hoc analysis of price
fluctuation, energy consumption profiles,
risk, fraud detection, grid health, etc.
Data Warehousing provides unique business value


•   Consolidate, manage and reconcile data
    for enterprise business intelligence
•   Establish trust, quality and governance
    where necessary
     •   Financial data
     •   Credit card data
     •   Healthcare
•   Combine deep and operational analytics
•   Maintain history for trending and
    historical reporting

                                                      Image: David Castillo Dominici
Big Data Platform - Accelerators


 Analytic accelerators

  • Analytics, operators, rule sets

 Industry and Horizontal Application
  Accelerators
  • Analytics

  • Models

  • Visualization / user interfaces

  • Adapters
Analytic Accelerators Designed for Variety

      Text
  (listen, verb),   Simple &                              Acoustic
  (radio, noun)     Advanced Text

                    Mining in                             Advanced
                    Microseconds                          Mathematical Models


                    Predictive         ∑R( s , a )
                                     population
                                                  t   t
                                                          Statistics


                    GeoSpatial                            Image & Video
Accelerators Improve Time to Value
                  Telecommunications                                 Retail Customer
                  CDR streaming analytics                            Intelligence
                  Deep Network Analytics                             Customer Behavior and Lifetime
                                                                     Value Analysis
                  Finance                                            Social Media Analytics
                  Streaming options trading                          Sentiment Analytics, Intent to
                                                                     purchase
                  Insurance and banking DW
                  models
                  Public transportation                              Data mining
                  Real-time monitoring and                           Streaming statistical analysis
                  routing optimization




Over 100 sample       User Defined Toolkits   Standard Toolkits   Industry Data Models
applications                                                      Banking, Insurance, Telco,
                                                                  Healthcare, Retail
IBM Software Day 2013. Smarter analytics and big data. building the next generation of analytical insights
Telecommunications CDR Analytic Accelerator

Analyze Call Detail Records in real time
Streaming Analytic Accelerators
  • Dropped call analysis
  • Who are VIP customers with service issues –
    proactive alerts
  • Analytic Operators – CDR de-duplication, dropped
    call detection, termination reason, customer
    importance
  • Visualization – real-time KPI dashboard


Data Warehouse Appliance
  • Integrated network, devices, customer, and
    services model
  • Telecom model, KPIs, and KQIs                      Image: nokhoog_buchachon
Big Data Platform – Information Integration and Governance


   Integrate any type of data to the big data
    platform
     • Structured
     • Unstructured
     • Streaming


   Govern big data
     • Secure sensitive data
     • Lifecycle management to control data growth
     • Master data to establish single version of the
       truth
Information and Governance for Big Data
Marketing Services Leader
   integrates big data for
Leaders integrate and govern massive Big Data with InfoSphere
    customer intelligence

Capabilities Utilized:
    Information Integration – data
    quality, ETL
    Deep Analytics Appliance

Complex customer data integration for


        54M records/hour

              Processing
   5B simultaneous records

32 Manages
32           2 petabytes of data,
Big Data Platform - User Interfaces


Business Users
•Visualization of a large volume and wide variety of data


Developers
   • Similarity in tooling and languages
   • Mature open source tools with enterprise
     capabilities
   • Integration among environments


Administrators
   • Consoles to aid in systems management
Visualization - Spreadsheet-style user interface


     •   Ad-hoc analytics for LOB user

     •   Analyze a variety of data - unstructured
         and structured

     •   Browser-based

     •   Spreadsheet metaphor for exploring/
         visualizing data


         Gather                      Extract               Explore                      Iterate
Crawl – gather statistically   Document-level info   Analyze, annotate, filter   Iterate through any prior
Adapter–gather                 Cleanse, normalize    Visualize results           step
dynamically
Big Data Platform - Analytic Applications


Big Data Platform is designed for analytic
application development and integration

BI/Reporting – Cognos BI, Attivio
Predictive Analytics – SPSS, G2, SAS
Exploration/Visualization – BigSheets, Datameer
Instrumentation Analytics – Brocade, IBM GBS Content
Analytics – IBM Content Analytics
Functional Applications – Algorithmics, Cognos Consumer
Insights, Clickfox, i2, IBM GBS
Industry Applications – TerraEchos, Cisco, IBM GBS
IBM’s big data business partner ecosystem


                                            100thCC&G Partners

                                                Big Data
                                            Business Partner
                                                 Signed
IBM’s unique strengths in Big Data


                Big Data in Real-Time




            Fit for purpose analytics




                Enterprise Class



            Integration

    WATCH A MOVIE
 DOWNLOAD AN APP
                    visit ibm.com/iibv and download the
   IBM Institute for Business Value app at iTunes and Android Marketplace
 READ A PAPER

http://tinyurl.com/c8866jx
IBM Software Day 2013. Smarter analytics and big data. building the next generation of analytical insights

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IBM Software Day 2013. Smarter analytics and big data. building the next generation of analytical insights

  • 1. Smarter Analytics and Big Data Building The Next Generation Analytical insights Joel Waterman Regional Director, Business Analytics Middle East & Africa
  • 2. WATCH A MOVIE  DOWNLOAD AN APP  READ A PAPER
  • 3. O’Reilly:27.4.2011, Got Iphone, Apple is recording your moves
  • 4. TomTom Caught Selling Speed Data to Dutch Police PcWorld 28. April 2011
  • 5. Why Business Analytics Matter Eight out of ten CEOs expect complexity to Enterprises that apply advanced analytics increase significantly in the next five years; have 33% more revenue growth and 12X insight and intelligence is ranked a top 3 more profit growth. priority. - CEO study 2010 – CFO study 2010 Financial outperformers are 64% more likely CIOs rank analytics as the #1 factor to use analytics to evaluate talent supply and contributing to an organization’s demand on an ongoing basis. competitiveness. – CHRO study 2010 – CIO study 2009 Top-performing enterprises use business analytics 5 times more than lower performers. – 2010 joint study, MIT and IBM Institute for Business Value
  • 6. Why Business Analytics Matter The Need for Analytics is Pervasive Across Business and Industry The healthcare industry spends $250 - $300 billion on healthcare fraud, per year. In the US alone this is a $650 million per day problem.1 One rogue trader at a leading global financial services firm created $2 billion worth of losses, almost bankrupting the company. $93 billion in total sales is missed each year because retailers don’t have the right products in stock to meet customer demand. 5 billion global subscribers in the telco industry are demanding unique and personalized offerings that match their individual lifestyles. 2 Source: 1. Harvard, Harvard Business Review, April 2010. 2. IBM Institute for Business Value, The Global CFO Study, 2010.
  • 7. IBM is Making Significant Investments in Smarter Analytics Investment  $ 16B for 30 acquisitions since 2005  8 Analytic Solutions Centers worldwide Technical Expertise  More than 10,000 technical professionals  9,000 consultants delivering IBM analytics solutions  Power7: workload optimized analytic processing Technology  Smart Analytics cloud  Comprehensive, heterogeneous Big Data platform for the Enterprise  World’s largest math department in private industry  FOAK breakthrough innovations including IBM Watson Research  Number 1 in patent ranking for 19 years and more than 500 analytics-related patents / year for last two years Business Partners  More than 27,000 Business Partner certifications
  • 8. Imagine the Possibilities of Analyzing All Available Data Faster, More Comprehensive, Less Expensive Real-time Traffic Fraud & risk Understand and act on Flow Optimization detection customer sentiment Accurate and timely Predict and act on Low-latency network threat detection intent to purchase analysis
  • 10. Cisco turns to IBM big data for intelligent infrastructure management • Optimize building energy consumption with centralized monitoring • Automate preventive and corrective maintenance Capabilities Utilized: • Streaming Analytics • Hadoop System • Business Intelligence Applications: • Log Analytics • Energy Bill Forecasting • Energy consumption optimization • Detection of anomalous usage • Presence-aware energy mgt. • Policy enforcement
  • 11. Harnessing the Largest Predictive Focus Group in the World Purpose • Understand public sentiment towards an event: movie trailers • Deeply understand the potential customer profile: gender, occupation, intent to watch • Alter marketing launch plans based on insight Background • 1.1 Billion Tweets analyzed • 5.7 Million blogs/forum posts • 3.5 million messages • Also: Facebook, Google+, Tumblr, Flickr
  • 12. Conclusion – Actionable Insight Adjust the marketing launch plan before execution begins • Creative – adjust messaging • Trailers – alter scenes shown • Budget – re-direct, increase, or decrease • Execution – theatre placement, advertisement placement
  • 13. IBM Big Data Platform
  • 14. IBM Big Data Strategy: Move the Analytics Closer to the Data Analytic Applications New analytic applications drive the BI /Reporting Exploration / Visualization Functional App Industry App Predictive Analytics Content Analytics requirements for a big data platform IBM Big Data Platform • Visualize all available data for ad-hoc Visualization Application Systems analysis & Discovery Development Management • Development environment for building new analytic applications Accelerators • And a whole lot good solid IT stuff... Hadoop Stream Data System Computing Warehouse Information Integration & Governance
  • 15. Big Data Platform - Hadoop System • Manages a wide variety and huge volume of data • Augments open source Hadoop with enterprise capabilities • Performance Optimization • Development tooling • Enterprise integration • Analytic Accelerators • Application and industry accelerators • Visualization • Security
  • 17. IBM’s Hadoop System provides unique business value • Integration with enterprise systems • Industry & application accelerators • Templates for quick starting app dev • Visualization tools to help business users to explore big data
  • 18. Big Data Platform - Stream Computing  Built to analyze data in motion • Multiple concurrent input streams • Massive scalability  Process and analyze a variety of data • Structured, unstructured content, video, audio • Advanced analytic operators
  • 19. Asian telco reduces billing costs and improves customer satisfaction Capabilities: Stream Computing Analytic Accelerators Real-time mediation and analysis of 6B CDRs per day Data processing time reduced from 12 hrs to 1 sec Hardware cost reduced to 1/8th Proactively address issues (e.g. dropped calls) impacting customer satisfaction.
  • 20. Stream Computing provides unique business value • Real-time answers = Better outcomes for time sensitive applications (e.g. fraud detection, network management) • Solution when data is too large or expensive to store • Analyze data as it comes to you • Keep data of interest for deeper analysis
  • 21. Big Data Platform - Data Warehousing  Workload optimized systems • Deep analytics appliance • Configurable operational analytics appliance • Data warehousing software  Capabilities • Massive parallel processing engine • High performance (OLAP) • Mixed operational and analytic workloads
  • 22. Deep Analytics Appliance – Revolutionizing Analytics Purpose-built analytics appliance Dedicated High Performance Disk Storage Speed: 10-100x faster than traditional systems Simplicity: Minimal administration and tuning Scalability: Peta-scale user data capacity Smart: High-performance advanced analytics Blades With Custom FPGA Accelerators
  • 23. Pacific Northwest Smart Grid Demonstration Project Capabilities: Stream Computing – real-time control system Deep Analytics Appliance – analyze massive data sets Demonstrates scalability from 100 to 500K homes while retaining 10 years’ historical data 60k metered customers in 5 states Accommodates ad hoc analysis of price fluctuation, energy consumption profiles, risk, fraud detection, grid health, etc.
  • 24. Data Warehousing provides unique business value • Consolidate, manage and reconcile data for enterprise business intelligence • Establish trust, quality and governance where necessary • Financial data • Credit card data • Healthcare • Combine deep and operational analytics • Maintain history for trending and historical reporting Image: David Castillo Dominici
  • 25. Big Data Platform - Accelerators  Analytic accelerators • Analytics, operators, rule sets  Industry and Horizontal Application Accelerators • Analytics • Models • Visualization / user interfaces • Adapters
  • 26. Analytic Accelerators Designed for Variety Text (listen, verb), Simple & Acoustic (radio, noun) Advanced Text Mining in Advanced Microseconds Mathematical Models Predictive ∑R( s , a ) population t t Statistics GeoSpatial Image & Video
  • 27. Accelerators Improve Time to Value Telecommunications Retail Customer CDR streaming analytics Intelligence Deep Network Analytics Customer Behavior and Lifetime Value Analysis Finance Social Media Analytics Streaming options trading Sentiment Analytics, Intent to purchase Insurance and banking DW models Public transportation Data mining Real-time monitoring and Streaming statistical analysis routing optimization Over 100 sample User Defined Toolkits Standard Toolkits Industry Data Models applications Banking, Insurance, Telco, Healthcare, Retail
  • 29. Telecommunications CDR Analytic Accelerator Analyze Call Detail Records in real time Streaming Analytic Accelerators • Dropped call analysis • Who are VIP customers with service issues – proactive alerts • Analytic Operators – CDR de-duplication, dropped call detection, termination reason, customer importance • Visualization – real-time KPI dashboard Data Warehouse Appliance • Integrated network, devices, customer, and services model • Telecom model, KPIs, and KQIs Image: nokhoog_buchachon
  • 30. Big Data Platform – Information Integration and Governance  Integrate any type of data to the big data platform • Structured • Unstructured • Streaming  Govern big data • Secure sensitive data • Lifecycle management to control data growth • Master data to establish single version of the truth
  • 32. Marketing Services Leader integrates big data for Leaders integrate and govern massive Big Data with InfoSphere customer intelligence Capabilities Utilized: Information Integration – data quality, ETL Deep Analytics Appliance Complex customer data integration for 54M records/hour Processing 5B simultaneous records 32 Manages 32 2 petabytes of data,
  • 33. Big Data Platform - User Interfaces Business Users •Visualization of a large volume and wide variety of data Developers • Similarity in tooling and languages • Mature open source tools with enterprise capabilities • Integration among environments Administrators • Consoles to aid in systems management
  • 34. Visualization - Spreadsheet-style user interface • Ad-hoc analytics for LOB user • Analyze a variety of data - unstructured and structured • Browser-based • Spreadsheet metaphor for exploring/ visualizing data Gather Extract Explore Iterate Crawl – gather statistically Document-level info Analyze, annotate, filter Iterate through any prior Adapter–gather Cleanse, normalize Visualize results step dynamically
  • 35. Big Data Platform - Analytic Applications Big Data Platform is designed for analytic application development and integration BI/Reporting – Cognos BI, Attivio Predictive Analytics – SPSS, G2, SAS Exploration/Visualization – BigSheets, Datameer Instrumentation Analytics – Brocade, IBM GBS Content Analytics – IBM Content Analytics Functional Applications – Algorithmics, Cognos Consumer Insights, Clickfox, i2, IBM GBS Industry Applications – TerraEchos, Cisco, IBM GBS
  • 36. IBM’s big data business partner ecosystem 100thCC&G Partners Big Data Business Partner Signed
  • 37. IBM’s unique strengths in Big Data Big Data in Real-Time Fit for purpose analytics Enterprise Class Integration
  • 38. WATCH A MOVIE
  • 39.  DOWNLOAD AN APP visit ibm.com/iibv and download the IBM Institute for Business Value app at iTunes and Android Marketplace
  • 40.  READ A PAPER http://tinyurl.com/c8866jx