Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe

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1 Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe 2012 IBM Corporation

2 The Mega Trends Cloud Mobile Social Analytics 2014 International Business Machines Corporation

3 Information will be the 'oil of the 21st century. Gartner 2010

4 How do I monetize my data? 4

5 How do I monetize my data? 5

6 Big rewards and penalties "By being able to apply corrective actions to quality issues two weeks earlier than before in field service operations, cost avoidance for OEM product assurance has been estimated to $50M per year - Global Automotive Manufacturer GM apologizes, doubles U.S. recall to 1.4M cars Upi.com 26 Feb 2014 GM recalls another 2.4m cars in fresh headache over safety issues America's biggest automaker has been forced to take back more than 15 million vehicles this year in 29 separate recalls Guardian 20 May 2014

7 So What makes My data?

8 Big Data is ALL data in ALL Data Repositories Transactional & Application Data Machine Data Social Data Enterprise Content Huge volume Internet of things Variety Variety 5bn transactions / day 30bn RFID sensors Highly unstructured Highly unstructured Structured 1bn smart phones Veracity; interpretation Volume Semi-structured 12 Tb tweets per day We have for the first time an economy based on a key resource [Information] that is not only renewable, but selfgenerating. Running out of it is not a problem, but drowning in it is. John Naisbitt Harvesting any resource requires Mining, Refining and Delivering

9 What can you do with Big Data Analytics? Financial Services Money laundering, identity theft Long-tail view of trading activity 360 view of the Customer Data log analysis for internal audits and compliance Utilities Predict weather patterns to optimize wind turbine usage Transmission monitoring Smart grid management Transportation Weather and traffic impact on logistics and fuel consumption Traffic congestion IT System log analysis for troubleshooting and trends Cybersecurity Health & Life Sciences Epidemic early warning ICU monitoring for intervention Remote healthcare monitoring to reduce healthcare costs Telecommunications CDR processing Churn prediction Geomapping / marketing Network monitoring Retail 360 View of the Customer Multi-channel customer sentiment Personalized experience with real-time promotions Law Enforcement Real-time surveillance from disparate video, audio and data feeds Situational awareness Cyber security detection

10 Paradigm Shifts Leverage More Data Reduce Effort to Leverage Data Data Leads the Way Leverage Data as it is Captured

11 Realize It. IBM Big Data & Analytics. All Data IBM Watson Foundations New/Enhanced Applications Information ingestion and operational information zone Real-time analytics zone Exploration, landing and archive zone Enterprise warehouse data mart and analytic appliances zone What action should I take? Decision management What is happening? Discovery and exploration Cognitive Fabric Why did it happen? Reporting, analysis, content analytics Information governance zone What could happen? Predictive analytics and modeling Systems Security Storage On premise, Cloud, As a service IBM Big Data & Analytics Infrastructure

12 Analytics Breadth to Enable Decisions Cognitive Tell me the best course of action? Prescriptive How can we achieve the best outcome? Big Data & Analytics How can everyone be more right.more often? Predictive What could happen? Business Value Descriptive What has happened? Information Layer How is data managed and stored? 13

13 IBM s Key Investment Areas Engaging Analytics for Everyone Breakthrough Analytics for All Data Pervasive Analytics for All Problems Addressing the analytical needs of the Business User Exploiting value from the relevant new mix of data Making decisions at point of impact 14

14 IBM Cognos Business Intelligence V IBM Cognos Business Intelligence V , central to IBM Cognos Enterprise, advances capabilities to provide interactive visualization, mobile, performance and support for big data. Interactive Visualization Mobile Performance Big Data 15 Amplify mobile business intelligence with new and innovative visualizations allowing users to quickly pinpoint trends in data. Leverage Get insights native and quicker than Get insights ever before Amplify optimized web quicker than through mobile applications ever before performance business for Android through improvements intelligence and ios to performance gained from with support new and a improvement more efficient innovative broader range s gained from memory usage, visualizations of smart more efficient reduced allowing phones and memory memory users tablets. to usage, footprint and reduced improved use of memory quickly pinpoint trends in data. footprint and improved use of compression. compression. Gain a more complete view of the business and act quickly off insights with expanded support for big data sources including Hadoop, analytic data stores and realtime streaming data.

15 Breakthrough Analytics for All Data IBM s capabilities span all dimensions of Big Data Volume Velocity Variety Veracity Data at Scale Data in Motion Data in Many Forms Data in Doubt Build fast, accurate models on petabytes of data New automated discovery techniques to understand what s important in large volumes of data Perform analytics where the data is for fast performance Score models for immediate impact using streaming data React in real time by embedding predictive models into apps Establish alerts with visual context to understand what s happening right now Analyze social media to understand what s being said about your business Use natural language processing and sentiment analysis to process text data and extract key concepts Analyze sensor data (Internet of Things) to improve business process & reduce costs Uncover relationships among diverse entities to get a more accurate view of your entities Discover relationships among social networks and predict their behavior Prepare data for accurate models with sophisticated techniques 16

16 Cognos Dynamic Cubes Smarter modeling with Smart metadata enhancements to Cube Designer Improvements to auto-design feature to further streamline modelling of Dynamic Cubes Memory Optimization - Reduced memory footprint and increased performance Significant reduction in memory required for member cache and query processing Overall query improvements that will benefit all DC users Dynamic Query Improved Security Ability to secure dimensions, levels and attributes Ability to leverage customer-defined tables to drive security definition for more control and ease of use Dynamic security refresh no longer need to refresh the cube to update the security definitions New Semi Aggregate Rules: First/Last/Current Period These are semi-aggregate rules commonly used by customers in the retail and financial industries. Dynamic Cubes Compatible Query IBM Confidential. References to potential future products are subject to the Important Disclaimer provided earlier in this presentation 2013 IBM Corporation

17 IBM Business Intelligence Pattern with BLU Acceleration Pre-configured deployment for predictable, high performance analytics solution delivery

18 Advances in 2013 Gain a complete view of the business by combining all data sources IBM Business Analytics Business Intelligence Predictive Analytics Customer Sentiment Cognos BI SPSS Analytic Server Social Media Analytics Catalyst Modeler IBM Big Data Platform Other Big Data Sources * Enterprise Data Sources Stream Computing* Hadoop Systems Data Warehouse General Hive support to access Apache Hadoop, Cloudera, Hortonworks, AWS EMR and other distributions using Hive 0.8 or Hive 0.9; Optimized access to BigInsights via Big SQL; and SAP HANA Certification SPSS Analytic Server extends SPSS processing to Hadoop platforms. Analytic Server includes a new component, SPSS Analytic Catalyst, which introduces a new, guided approach to Predictive Analytics. 19

19 IBM s Key Investment Areas Engaging Analytics for Everyone Breakthrough Analytics for All Data Pervasive Analytics for All Problems Addressing the analytical needs of the Business User Exploiting value from the relevant new mix of data Making decisions at point of impact 20

20 IBM Rapidly Adaptive Visualization Engine VizJSON Visualization Description Not a prescribed Library of Charts A highly adaptive framework that allows each integrator to quickly create and customize their own library of charts and interactive visualizations Common Visualization Framework Based on the patented SPSS Grammar of Graphics approach Use a simple language to describe a visualization Language has the flexibility to describe known chart types Language has the extensibility to describe new advanced visualizations 21

21 Advances in 2013 Visualization - RAVE Framework to quickly customize & extend visualizations to meet specific business needs Implement new visualisations when needed without having to wait for product releases Quick and simple download visualizations from Analyticszone.com community Available in Cognos user interfaces : Reports, Workspaces etc.

22 Active reports with RAVE and Mobile Proven Success! Use those great looking animated, customizable visualizations Very effective customer deployments Rapid user acceptance Ease of use unparalleled Intuitive Mobile usage But must put effort on design! High usability is key User Experience skills!!

23 How IBM s Forward Looking Business Intelligence improves decisions making Spreadsheets are good for lookup of value and field to field comparison BI is better for context, data discovery, identification of trends interaction and visualization Forward Looking BI builds upon the previous two and adds a future view stated as a likelihood GOOD BETTER BEST

24 Breakthrough Analytics for All Data Analytics and Big Data leverages traditional & expanded techniques Assemble & Combine relevant mix of information Traditional Analytics Reconcile sources together Query relational warehouses Individual transaction records Expanded Techniques Surface data directly from source Query specialized systems Data relationships and networks Discover & Explore with smarter visualizations Graphs and reports Hierarchical navigation Managed and adhoc delivery Manual analysis and action Visualize masses of data Context and relationship navigation Exploration of what s important Automated visualization Analyze, Predict & Automate for more accurate answers Sample based models Data analyzed at rest Humans interpret patterns Build models on entire datasets Analyze stream data in motion Algorithms uncover hidden patterns 25

25 Advances in 2013 IBM SPSS Analytic Catalyst Statistician in the software Automatically discovers statistically interesting news in big data Makes Predictive Analytics Accessible Easy-to-use GUI Result displayed as interactive visuals alongside plain language summaries Closes the Analytics Skills Gap Automated discovery of predictive indicators without the need for programming No advanced statistics knowledge required Makes the Complex Simple System automatically prepares the data & builds the model driving simplification & time to value 26

26 Engaging Analytics for Everyone A conversational experience powered by cognitive analytics Why are my sales declining? System smarts helps the user to user applies experience and gut feel system applies analytic models I ve got the answer. I know what to do. I ve made the decision. find relevant data 27 and surface relevant relationships and shapes it for the user to interact with and reshape IBM analytics Human analytics

27 Watson Analytics Uses natural language, cognitive capability on front end, to help users do math, and ask questions about data Enables anyone to independently discover new patterns to inform better decisions Targeting different LOB horizontals Cloud-based model supports adoption for departmental groups by enabling quick startup and evaluation 28 20

28 Please Note: IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. 29

29 Smart data discovery automates advanced analysis, with cognitive exploration to intuitively uncover relationships By 2015, smart data discovery will be the most in-demand BI platform user experience paradigm. Gartner 1 IBM Watson Analytics: The Next Generation of Data Discovery Engaging experience: fluid end-to-end experience driven by user questions User autonomy: instant, uninterrupted access to the system Boundary-free: seamless experience between apps, devices, etc., with the ability to collaborate and share information instantly to anyone, anywhere Source: Gartner,

30 IBM is the Right Partner Committed to Client Success IBM understands all kinds of data Game-Changing Innovation such as Watson, BLU acceleration, streaming analytics and expert integrated systems; 20 years of patent leadership Business-Ready Capabilities big data and analytics capabilities, integrated and hardened for serious use, with flexible deployment options IBM knows how to turn data into value Internal Expertise IBM Research, AnalyticsZone.com, Big Data University Client Expertise deep industry know-how and solutions with global reach Strong Ecosystem growing investment with 375+ business partners & 200+ universities Build on Current Investments enhance existing analytics and information infrastructure with unparalleled breadth and depth of new capabilities IBM has invested in big data and analytics $17B+ in Acquisitions coupled with game-changing innovation since 2005 Analytics Solution Centers visited by organizations accessing global expertise 2015 Road Map target for Business Analytics recently raised from $16B to $20B of revenue 31

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