Big Data at the Speed of Business IBM Innovations for a new era! Rob Thomas Vice President, Big Data Sales IBM Software Group, Information Management

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1 Big Data at the Speed of Business IBM Innovations for a new era! Rob Thomas Vice President, Big Data Sales IBM Software Group, Information Management

2 Agenda for today 1 IBM s viewpoint on on big big data data and and analytics 2 Five compelling big data use cases 3 IBM s unique value for client success 4 Recommendations on how to get started 2013 International Business Machines Corporation IBM Corporation

3 Disruptive Technology Factors Are Making New Things Possible Cloud Computing Mobile Social Media Internet of Things International Business Machines Corporation 3

Big Data is the next Natural Resource Data is the New Oil We have for the first time an economy based on a key resource (Information) that is not only renewable, but self-generating.

4 Big Data is the next Natural Resource Data is the New Oil 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 Harvesting any resource requires Mining, Refining and Delivering 2013 International Business Machines Corporation IBM Confidential

5 Big Data is All Data from Everywhere Transactional & Application Data Machine Data Social Data Enterprise Content Volume Velocity Variety Volume Structured Structured Unstructured Unstructured Throughput Ingestion Veracity Variety 2013 International Business Machines Corporation 5

6 Leaders Leverage Big Data & Analytics to Deliver Immediate Value Operational Systems Systems of Engagement Smarter Infrastructure Security Intelligence Enterprise Applications Big Data & Analytics Extend & Integrate Mobile Commerce Call Center Social Business International Business Machines Corporation 6

7 Every Industry can Leverage Big Data & Analytics Banking Insurance Telco Energy & Utilities Media & Entertainment Optimizing Offers and Cross-sell Customer Service and Call Center Efficiency Fraud Detection & Investigation Credit & Counterparty Risk 360 View of Domain or Subject Catastrophe Modeling Fraud & Abuse Producer Performance Analytics Analytics Sandbox Pro-active Call Center Network Analytics Location Based Services Smart Meter Analytics Distribution Load Forecasting/Scheduling Condition Based Maintenance Create & Target Customer Offerings Business process transformation Audience & Marketing Optimization Multi-Channel Enablement Digital commerce optimization Retail Travel & Transport Consumer Products Government Healthcare Actionable Customer Insight Merchandise Optimization Dynamic Pricing Customer Analytics & Loyalty Marketing Predictive Maintenance Analytics Capacity & Pricing Optimization Shelf Availability Promotional Spend Optimization Merchandising Compliance Promotion Exceptions & Alerts Civilian Services Defense & Intelligence Tax & Treasury Services Measure & Act on Population Health Outcomes Engage Consumers in their Healthcare Automotive Chemical & Petroleum Aerospace & Defense Electronics Life Sciences Advanced Condition Monitoring Data Warehouse Optimization Actionable Customer Intelligence Operational Surveillance, Analysis & Optimization Data Warehouse Consolidation, Integration & Augmentation Big Data Exploration for Interdisciplinary Collaboration Uniform Information Access Platform Data Warehouse Optimization Airliner Certification Platform Advanced Condition Monitoring (ACM) Customer/ Channel Analytics Advanced Condition Monitoring Increase visibility into drug safety and effectiveness 2013 International Business Machines Corporation 7

8 Agenda for today 1 IBM s viewpoint on big data and analytics 2 Five compelling big big data data use use cases cases 3 IBM s unique value for client success 4 Recommendations on how to get started 2013 International Business Machines Corporation IBM Corporation

9 Big Data Exploration Global aerospace manufacturer increases knowledge worker efficiency and saves $36M annually Need Delays in fixing maintenance issues are expensive and potentially incur financial penalties for out-of-service equipment Increase the efficiency of its maintenance and support technicians, support staff and engineers Benefits Supporting 5,000 service representatives Eliminated use of paper manuals that were previously used for research Placed more than 40 additional airplanes into service without adding more support staff Reduced call time by 70% (from 50 minutes to 15 minutes) 2013 International Business Machines Corporation IBM Corporation

10 Enhance 360 View of Customer Consumer products company improves information access across 30 different repositories Need Intuitive user interface for exploration and discovery across 30 different repositories Encompass all global offices and be deployed quickly for a lower total cost of ownership Provide secure search capabilities across sharepoint sites, intranet pages, wikis, blogs and databases Benefits Able to identify experts across all global offices and 125,000 users worldwide Eliminated duplicate work and effort being performed across all employees Improved discovery and findability across global organization Provided internal knowledge and information that has led to improved decision making 2013 International Business Machines Corporation IBM Corporation

11 Operation Analysis Asian telco reduced churn and kept subscribers happy, helping ensure that campaigns are highly effective and timely Need To ensure that its marketing campaigns targeted the right customers, before they left the network To keep its higher usage customers happy with campaigns offering services and plans that were right for them Benefits Predictive analytics is expected to improve the campaign response rate from about 25% to at least 50% CDRs can be analyzed within 30 seconds, instead of requiring at least a day Expected to reduce churn by approximately 15-20% 2013 International Business Machines Corporation IBM Corporation

12 Data Warehouse Augmentation Constant Contact Transforming Marketing Campaign Effectiveness with IBM Big Data Capabilities InfoSphere BigInsights, IBM PureData for Analytics powered by Netezza technology, Cognos BI Need Analyze 35 billion annual s to guide customers on best dates & times to send s for maximum response Benefits 40 times improvement in analysis performance 15-25% performance increase in customer campaigns Analysis time reduced from hours to seconds 2013 International Business Machines Corporation 12

13 Security/Intelligent Extension TerraEchos uses streaming data technology to support covert intelligence and surveillance sensor systems Need Deployed security surveillance system to detect, classify, locate, and track potential threats at highly sensitive national laboratory Benefits Reduced time to capture and analyze 275MB of acoustic data from hours to one-fourteenth of a second Enabled analysis of real-time data from different types of sensors and 1,024 individual channels to support extended perimeter security Enabled a faster and more intelligent response to any threat 2013 International Business Machines Corporation IBM Corporation

14 Agenda for today 1 IBM s viewpoint on big data and analytics 2 Five compelling big data use cases 3 IBM s unique value for for client client success 4 Recommendations on how to get started 2013 International Business Machines Corporation 14

15 New Architecture to Leverage All Data and Analytics Streams Real-time Analytics Intelligence Analysis Data in Motion Information Ingestion and Operational Information Video/Audio Network/Sensor Entity Analytics Predictive Exploration, Integrated Warehouse, and Mart Zones Decision Management Data at Rest Stream Processing Data Integration Master Data Landing Area, Analytics Zone and Archive Raw Data Structured Data Text Analytics Data Mining Entity Analytics Machine Learning Discovery Deep Reflection Operational Predictive BI and Predictive Analytics Navigation and Discovery Data in Many Forms Information Governance, Security and Business Continuity 2013 International Business Machines Corporation 15

16 Getting the Value from Big Data Why a Platform? Systems Management Hadoop System BIG DATA PLATFORM Application Development Accelerators Stream Computing Discovery Data Warehouse Information Integration & Governance Data Media Content Machine Social The Whole is Greater than the Sum of the Parts Almost all big data use cases require an integrated set of big data technologies to address the business pain completely Reduce time and cost and provide quick ROI by leveraging pre-integrated components Provide both out-of-the-box and standards-based services Start small with a single project and progress to others over your big data journey 2013 International Business Machines Corporation 16

17 PureSystems Accelerate Delivery of Big Data Solutions Expert Integrated Systems for Big Data For Hadoop Optimized system to accelerate analytics on big data and online archive with appliance simplicity BIG DATA PLATFORM For Analytics Optimized system delivering data services for analytics and reporting For Operational Analytics Optimized system delivering data services for operational analytics 2013 International Business Machines Corporation 17

18 Introducing BLU Acceleration IBM Research & Development Lab Innovations Dynamic In-Memory In-memory columnar processing with dynamic movement of unused data to storage Actionable Compression Industry s first data compression that preserves order so that the data can be used without decompressing Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data) Data Skipping Skips unnecessary processing of irrelevant data BLU Acceleration Super Super Fast, Fast, Super Super Easy Create, Load Load and and Go! Go! No No Indexes, No No Aggregates, No No Tuning, No No SQL SQL changes, No No schema changes 2013 International Business Machines Corporation 18

19 Agenda for today 1 IBM s viewpoint on big data and analytics 2 Five compelling big data use cases 3 IBM s unique value for client success 4 Recommendations on on how how to to get get started started 2013 International Business Machines Corporation 19

20 Three Critical Success Factors 20 STRATEGY & VALUE What are the key business issues or opportunities that Big Data can help me to address? 2013 International Business Machines Corporation TECHNOLOGY What are the essential capabilities we need to ensure we have in place? PEOPLE & PROCESS What skills and processes do I need to add or modify to be successful? 20

21 IBM can help organizations succeed with their big data initiatives 1 Recommendations Big Data Approaches Commit initial efforts at Business Value Accelerators customer-centric outcomes BAO Jumpstart Big Data BVA Develop enterprise-wide big data blueprint Start with existing data to achieve near-term results Build out capabilities based on business priorities Functional BVAs Customer Analytics Diagnostic Predictive Analytics Diagnostic Supply Chain Analytics Solutions Signature Solutions Industry Solutions 5 Create a business case with measurable outcomes Big Data Foundation Analytics Infrastructure Readiness Big Data Maturity Model/Assessment 2013 International Business Machines Corporation IBM Corporation

How to learn more For additional information including whitepapers and demos, please visit: Big Data Hub Smarter Analytics Reference: Big Data for Smarter Decision Making by Colin White Big Data

22 How to learn more For additional information including whitepapers and demos, please visit: Big Data Hub Smarter Analytics Reference: Big Data for Smarter Decision Making by Colin White Big Data Analytics - TDWI ebook IBV Study - Education: Social Media Analytics, YouTube video Understanding Big Data ebook Free online education at bigdatauniversity.com Services: Develop your Big Data strategy with help from IBM Global Business Services 2013 International Business Machines Corporation 22

23 ibm.com/bigdata 2013 International Business Machines Corporation 23

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Extend the Value of Your Data Warehouse with Big Data

Rick Clements Director, Marketing, Big Data, IBM Software Group, Information Management Extend the Value of Your Data Warehouse with Big Data You are likely familiar with the traditional warehouse infrastructure