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Data is the new basis of competitive advantage (What) Cloud is the path to new business models (How) Data is the new basis of competitive Engagement advantage changes our expectations (Why) © 2015 IBM Corporation

Big Data & Analytics 4 BM Global CEO Study. © 2013 IBM Corporation

Big Data & Analytics Es la primeroa preocupación del CIOAnalytics Business 83% 76% Virtualization 71% Risk Management & Compliance Mobility Solutions 68% Customer & Partner Collaboration 68% Self-service Portals 66% Application Harmonization 64% Business Process Management 64% SOA / Web Services Unified Communications 61% 60% IBM Global CIO Study. 5 5 5 © 2013 IBM Corporation

Front runners reap great rewards $13. 01 Analytics pays back for every dollar spent 1 250% is the ROI of solutions that incorporate predictive analytics 69% 53% 60% of front runners created a significant positive impact on business outcomes using data and analytics in the past three years 2 of front runners created a significant competitive advantage using data and analytics 2 of front runners created a significant positive impact on revenues using data and analytics in the past three years 2 1 2 Analytics Pays Back $13. 01 for Every Dollar Spent” Nucleus Research, September 2014 Analytics: The speed advantage” IBM Institute for Business Value, 2014 © 2015 IBM Corporation

Big Data & Analytics IBM’s Commitment to Big Data IBM CEO Says ‘Big Data’ Is Company’s Top Priority § $16 Billion in Big Data acquisitions – 35 new acquisitions in the last 5 years § Largest patent portfolio in the industry § More than 1000 developers focused on Big Data technology development § IBM has the largest commercial research organization on Earth § 2014 IBM joins Apple & Twitter in strategic partnerships More than 7 - 200+ mathematicians developing breakthrough analytics § IBM’s Big Data Business grew over 150% in 2014 70, 000 downloads Big. Insights Quick. Start Edition © 2013 IBM Corporation

Fleet. Risk Advisors helps trucking operators prevent accidents by building stronger and faster risk prediction models Ø 80% reduction in serious accidents Ø 20% reduction in minor accidents Ø 30% increase in driver retention rates © 2015 IBM Corporation

Vestas turns climate into capital, optimizing turbine placement with big data Ø 97% faster response times for wind forecasting information Ø 40% reduction in energy consumption Ø Cuts cost per kilowatt hour increasing ROI © 2015 IBM Corporation

Children’s hospital strives to accelerate health warning alerts for premature infants Ø USD 150, 000 reduction in the cost of unnecessary neonatal surgery Ø USD 24, 000 reduction in hospital costs per neonatal bed per year Ø 24 hours advance in real-time alerts to begin antibiotics and other treatment for premature infants © 2015 IBM Corporation

Life insurer in Japan pays customers with greater speed and accuracy using content analytics to standardize medical terms Ø 22% fewer mistakenly unpaid claims—from 435 cases to 339 in the first year Ø 90% accuracy in coding medical terms and treatments during claim assessment Ø 20% reduction in assessment workforce, saving several hundred million yen each year © 2015 IBM Corporation

Big Data & Analytics ¿Qué es “Big Data & Analytics”? Transactional & Application Data Machine Data Social Data Enterprise Content • Volume • Velocity • Variety • Structured • Semi-structured • Highly unstructured • Throughput • Ingestion • Veracity • Volume Big Data is All Data in All Data Repositories 12 © 2013 IBM Corporation

Big Data & Analytics Imagine la posibilidad de analizar toda la data Low-latency network analysis Real-time Traffic Flow Optimization 13 Fraud & risk detection Understand act on customer sentiment Accurate and timely threat detection Predict and act on intent to purchase © 2013 IBM Corporation

Big Data & Analytics Merging the Traditional and Big Data Approaches Traditional Approach Big Data Approach Structured & Repeatable Analysis Iterative & Exploratory Analysis Business Users Determine what question to ask IT Delivers a platform to enable creative discovery IT Business Structures the data to answer that question Explores what questions could be asked Monthly sales reports Profitability analysis Customer surveys 14 Brand sentiment Product strategy Maximum asset utilization © 2013 IBM Corporation

The IBM analytics platform Create a new data foundation for the business Prepare data for analytics Predict the future for the business Align data management strategy with customer expectations Delight customers Derive business value by understanding from unstructured them better content IBM ANALYTICS PLATFORM Discovery & Exploration Content Analytics Prescriptive Analytics Streaming Analytics Business Intelligence & Predictive Analytics Data Management Content Management Hadoop System Data Warehousing Information Integration & Governance Breadth & depth of analytics Data integration & governance Hybrid & fluid architecture Open & unified platform © 2015 IBM Corporation

Analíticas cognitivas © 2015 IBM Corporation

Big Data & Analytics Leveraging analytics still faces many obstacles 38% have a limited understanding of how to use analytics Self-service analytics and expectations to drive better data-driven decisions are rising 80% of the time is spent on data preparation Making decisions rapidly is no longer a goal; it’s an imperative 24% find it difficult to get data Access to required data sources is critical while maintaining governance standards Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute for Business Value study. Copyright © Massachusetts Institute of Technology 18 © 2013 IBM Corporation

Big Data & Analytics Even a simple analytics project has multiple steps and people Business Analysts Data Access Collaboration Business Users 19 Reporting Data Preparation IT Analysis Validation Data Scientists and Statisticians © 2013 IBM Corporation

Big Data & Analytics And it’s rarely a straightforward process Data Access Business Analysts Reporting IT Data Preparation Validation Collaboration Analysis Business Users 20 Data Scientists and Statisticians © 2013 IBM Corporation

Big Data & Analytics IBM Watson Analytics Self-service analytics capabilities in the cloud Single Analytics Experience Fully Automated Intelligence 21 Natural Language Dialogue Guided Analytic Discovery © 2013 IBM Corporation

Big Data & Analytics A new way to work Get Better Data Understand Your

Big Data & Analytics Single Interface … Explore > Predict > Assemble Natural language dialogue Quick start intuitive interface Key business driver insights Dashboard and storytelling authoring 23 Easy data upload and Refinement capabilities © 2013 IBM Corporation

Big Data & Analytics IBM Watson Analytics Self-sufficiency for business users and experts alike Data Scientists Business Users Business Analysts http: //www. ibm. com/analytics/watson-analytics/ 24 © 2013 IBM Corporation

Big Data & Analytics Cognos Overview © 2013 IBM Corporation

Big Data & Analytics Cognos Unified BI workspace that seamlessly progresses to follow a

Big Data & Analytics Cognos Mobile IBM Cognos Mobile Elegant user interface § Personalize your background § Arrange content how you want it § Rename your workspaces Easy to use § Automatic server configuration § Connect to multiple servers § Preview report without opening § Track progress, pause & restart your downloads § Embedded end-user how-to tutorials 27 27 © 2013 IBM Corporation

Big Data & Analytics Cognos for Microsoft Office Communicate BI content in standard MS Office formats Import BI content into MS Office tools and additional context for presentations and briefing books Solution highlights: § Create and distribute briefing books § Refresh BI content directly within MS Office tools § Modify and share BI content using familiar applications § Publish and share Cognos-enabled files to the secure BI portal 28 28 © 2013 IBM Corporation

Cognos Insight - Desktop 3/19/2018 © 2015 IBM Corporation

Big Data & Analytics Sample Visualizations 30 © 2013 IBM Corporation

Certify a standard “ODP Core” set of open source Hadoop family projects with specific versions and patch levels Develop tools and methods to help solution providers to test applications against the ODP Core. Contribute changes and fixes in the ODP Core Hadoop family projects to the ASF using the ASF processes. © 2015 IBM Corporation

Big Data & Analytics Open Data Platform Initiative Representation across the Hadoop ecosystem… • Hadoop distribution vendors • Software application providers • System integrators/consultants • Hardware vendors • Customers … who all believe in the need for a community-based effort to standardize Hadoop, which will lead to improved adoption 32 © 2013 IBM Corporation

Big Data & Analytics IBM Big. Insights for Apache Hadoop IBM Big. Insights Data Scientist Text Analytics IBM Big. Insights Analyst Machine Learning with Big R Big SQL Big. Sheets IBM Big. Insights Enterprise Management POSIX Distributed File System Multi-workload, Multi-tenant scheduling IBM Open Platform with Apache Hadoop 33 © 2013 IBM Corporation

Big Data & Analytics Spark Technology Center Focal point for IBM investment in Spark • Code contributions to Apache Spark project • Build industry solutions using Spark • Evangelize Spark technology inside/outside IBM Agile engagement across IBM divisions • Systems: contribute enhancements to Spark core, and optimized infrastructure (hardware/software) for Spark • Analytics: IBM Analytics software will exploit Spark processing • Research: build innovations above (solutions that use Spark), inside (improvements to Spark core), and below (improve systems that execute Spark) the Spark stack Goal: To be the #1 contributor and adopter in the Spark ecosystem 34 © 2013 IBM Corporation

Big Data & Analytics Los datos de Twitter son ofrecidos con servicios en la nube de la plataforma de IBM Big Data & Analytics for Business Users and Analysts • Watson Analytics • Social Media Analytics for Developers, Data Professionals and Scientists 35 Big Insights • • IBM Data. Works IBM Big. Insights for Cloud IBM Bluemix Cloud IBM Watson Developer Cloud © 2013 IBM Corporation