Developing Innovation Through Social Collaboration: A Case Study in Big Data Analytics

Co-presented withAster Data Developer Portal Overview:The First Community for Big Data AnalyticsNovember 2011

We‟d love your participation. Being social is about interacting & engaging each Session Follow-up other & sharing ideas… so the best way to After the event, the experience it, is to just jump in and do it! following materials will be made available to all Feel free to tweet about our discussion (#mzinga or #asterdata) of you: • Presentation slides Join the chat. If you have any advance questions • Webinar recording during the presentation, just add them into the chat now and we’ll address them at the end of the • Chat transcript session We also know some of you will prefer to just listen; that’s cool too3 Teradata Confidential and Proprietary

Introductions Steve Wooledge Aster Data Center of Innovation, Teradata Corporation Senior Director of Marketing @swooledge Steve.Wooledge@Teradata.com Navdeep Alam Mzinga Director of Data Architecture @yoshinav nav@mzinga.com4 Teradata Confidential and Proprietary

Agenda Topic Company & Case Study Overviews Developer Community: Strategy & Results Analytics: Measuring Business Trends Q&A5 Teradata Confidential and Proprietary 5

Who is Mzinga? Market SaaS social software, services and analytics provider Experience 40M users & 15,000 communities under management Solution OmniSocial- social business ecosystem solution # of Customers 300 clients Sample Customers6 Teradata Confidential and Proprietary

Mzinga Social Business Ecosystem • Social business outsourcing • Indirect revenue streams • Listening & • Developer engagement networks • Brand building Partner • Demand generation Experience • Social commerce Brand Mzinga Social Employee Experience Business Experience Ecosystem • Engagement & Customer collaboration Experience • Satisfaction & • Streamlined retention client acquisition • On-boarding & • Customer recruiting engagement • Social learning • Loyalty & retention • On-demand support7 Teradata Confidential and Proprietary

Who is Teradata Aster?The leading innovator in the ‘big data’ analytics market Teradata Aster MapReduce Platform: MPP Analytic Platform with a MapReduce analytic framework within a database platform For the Data Scientist: Brings the science of „big data‟ to the masses with MapReduce functionality delivered through the analytic language of business, standard SQL Delivers New Analytics: Provides businesses with new, breakthrough analytic applications with high-performance and pre-packaged pattern, path and graph SQL-MapReduce® analytic modules On Multi-structured Data: Leverages multi-structured data sources for increased analytic breadth & accuracy A Teradata product line as of April 2011Customers 8 Teradata Confidential and Proprietary

What is “Big Data?”Big Data is more than size – it requires new technologies “CIOs face significant The Four Axes of Big Data challenges in addressing the issues surrounding big data… New technologies and applications are emerging (examples include Hadoop and MapReduce) Relational and should be investigated to understand their potential value.” Source: CEO Advisory: ‘Big Data’ Equals Big Opportunity, Gartner, 31 March 2011.9 Teradata Confidential and Proprietary

Examples of New Multi-Structured DataNew data types require more than SQL for rich exploration Data types collected as big data and/or using with advanced analytics Structured (tables, records) Semistructured (XML and similar) Complex (hierarchical or legacy) Events (messages, usually in real time) Unstructured (text, audio, video) Social media (blogs, tweets, social networks) Diverse data types Web logs and clickstreams compound the big Spatial (long/lat coordinates, GPS output) data analytics Machine-generated (sensors, RFID, devices) problem Scientific (atronomy, genomes, physics) Other 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% †Source: “Big Data Analytics”, Survey of 325 companies. TDWI 201110 Teradata Confidential and Proprietary

Big Data Analytics:A Competitive Advantage Across Industries Media & Financial Services & Internet / Tech Retail Information Insurance Use Cases Use Cases Services Use Cases Use Cases• Social networking • Real-time fraud • Digital marketing • Predictive and granular graph analysis & link analysis attribution forecasting• Crowd-sourcing • Tick data analysis • Online consumer • Advanced click-stream• Virality analysis • Trading surveillance behavior/patterns analysis• Content targeting • Multi-variate pricing • Advanced click-stream • Digital media analysis for insurance analysis consumer micro-• Advanced click-stream analysis • Behavior pattern • Online targeting for targeting matching personalization/ • Ad optimization recommendations Need for deep data analysis…on TB‟s to PB‟s of data…“Analytics themselves dont constitute a strategy, but using them to optimize a with minutes to seconds response times distinctive business capability certainly constitutes a strategy.” - T. Davenport & J. Harris, Competing on Analytics: The New Science of Winning11 Teradata Confidential and Proprietary

Teradata Aster MapReduce Platform Analysts Customers Business Users Data Scientists Analytic & Advanced Reporting Applications • 50+ pre-built analytic modules Develop Rapid Analytics • Visual IDE; develop apps in hours Development • Many programming languages • SQL-MapReduce® framework Process Embedded Analytic • Analyze both structured Processing & multi-structured data • Linear, incremental scalability • Commodity-hardware based Store Massively Parallel Data • Software only, cloud, or appliance Storage • Relational-data architecture can be extended for non-relational types12 Teradata Confidential and Proprietary

Why Do Data Scientists Need a Community?• New technology - Increase understanding of what can be done with: • Teradata Aster MapReduce Platform • Aster‟s SQL-MapReduce® analytic framework• Leverage knowledge of the group - Share custom code - Share ideas - Ask questions - Simplify development • Provide peer support, reusable source code• Grow community around Teradata Aster MapReduce Platform and SQL-MapReduce Accelerate use of SQL-MapReduce13 Teradata Confidential and Proprietary

Aster Data Developer Portal Overview Accelerate understanding and adoption of SQL-MapReduce®Aster CustomersData & Users Goal • Raise awareness of SQL-MapReduce capabilities Aster Data • Accelerate creation and adoption of Developer Portal SQL-MapReduce analytic applications Approach • Developer Portal for collaboration and support of growing SQL-MapReduce user community • Designed to facilitate sharing of SQL-MapReduce use cases and code • Supported by Aster Data with code examples, expert content • Forums • Expert blogs • Initial launch to customers • Code sample • Collaboration repository features  Currently available to all Aster Data customers and key partners 14 Teradata Confidential and Proprietary

Best Practices to Foster Sharing and Information1 - Educate• Become a one stop shopProduct documentation Recorded marketing demos Training decks Blogs from thought leaders15 Teradata Confidential and Proprietary

Best Practices to Foster Sharing and Information2 - Engage• Members need solid education foundation before communicating• Then they are confident enough to begin engaging16 Teradata Confidential and Proprietary

Best Practices to Foster Sharing and Information3 - Incent• Members have education, sense of community Now show us what you‟ve got 17 Teradata Confidential and Proprietary

How the Community Benefits Data Scientists• Learn about SQL-MapReduce - Sources beyond Aster training• Apply SQL-MapReduce technology to real-world problems• Stand on the shoulders of others - New ideas and code for solving problems not yet considered18 Teradata Confidential and Proprietary

How the Community Benefits AsterCollaboration fosters learning, brand visibility, collaboration• Internal Benefits • External Benefits - Increased value for customer - Thought leadership - Powerful branding - Stronger knowledge base19 Teradata Confidential and Proprietary

ResultsGrowing knowledge base, satisfied customers• Result: 90% of customers have registered• Engagement - “Downloads” area is most visited area - “Discussions” is second most visited area• Downloads area - This is a one-stop shop for Aster customers downloading analytic code - Analyze “Downloads”  leverage content to grow “Discussions” area• Up Next - Teradata Aster technical support leveraging portal for delivering common SQL-MapReduce analytic modules - Roll out community to broader audience - Applying analytics more broadly to accelerate community engagement20 Teradata Confidential and Proprietary

Social Intelligence & ROI Content, behaviors, acti vities & interactions Business results21 Teradata Confidential and Proprietary

Mzinga Advanced Analytics Architecture Metadata: Blog Info, Profile Info, Relationship Info, etc. Blogs, Comments, Discuss ions, Courses, Programs, etc. Audio & Visual Text, Images, etc. Metadata Repository“Big Data”• Increased processing speed enabled by proprietary algorithms Extensible Metadata Model Flexible outputs• Efficient loading, storing and analyzing • Multiple interactive dashboards, analytics of terabytes to petabytes of data • Easily create your own reports and analytics by leveraging reusable data elements and report types, including shared and saved reporting to be available in stages• Redundancy and failover support via • Increased development speed of your future analytics advantages of MPP and reporting needs • Reduce report customizations • More flexible, comprehensive data insight, including comparative metrics 22 Teradata Confidential and Proprietary

Sample metrics that matter Analyze users & behaviors  User activity, adoption & retention  User engagement, influence, & trends  User reputation & ranking Track content & apps  Popular topics, rankings, & trends  Popular applications Use Cases  Identify subject matter experts for incentives based on activities and growth  Identify positive and negative trends that may impact your social strategy23 Teradata Confidential and Proprietary

Comprehensive business intelligence Content Voices Behaviors/Interactions Social Graphs User Info Business Data Analytics Platform Visualizations Intelligence Applications Consolidate and associate Analyze data for Drive business decisions and data from various sources insights, trends, patterns connect with employees and/or and discover assets customers Recommendation Gamification Rewards Benchmarking ROI24 Teradata Confidential and Proprietary

Questions?25 Teradata Confidential and Proprietary

Thank you for joining us!Stay engaged & learn more• Participate in our Social Analytics Big Data survey Keep an eye out for the invitation & chance to win!• Visit asterdata.com to learn more about Big Data Upcoming events, best practices, and more!• Visit mzinga.com to learn more about social analytics Upcoming events, eBooks, and more!26 Teradata Confidential and Proprietary

Developing Innovation Through Social Collaboration: A Case Study in Big Data Analytics

by Mzinga on Nov 10, 2011

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Developing Innovation Through Social Collaboration: A Case Study in Big Data Analytics — Webinar Transcript