Big data and big content
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The document discusses the importance of big data and the evolution from systems of record to systems of engagement in organizations. It highlights the massive growth of internet-connected devices and the necessity for companies to use data analytics for decision-making to stay competitive. Additionally, it outlines opportunities for vendors and upcoming plans from AIIM to address challenges and leverage big data effectively.
Big data and big content
- 1. #AIIM12 Perspec'ves on Big Data Why Should You Care? John Mancini, AIIM @jmancini77 DigitalLandfill.org
- 2. Systems of Engagement Social and Era Mainframe Mini PC Internet Cloud Systems of Record Years 1960-‐1975 1975-‐1992 1992-‐2001 2001-‐2009 2010-‐2015 Typical A batch A dept A An thing A web page trans process document interacUon managed Best known Digital IBM MicrosoR Google Facebook company Equipment Social Content Image Document Content Microfilm Business mgmt focus Mgmt Mgmt Mgmt Systems
- 3. Systems of Engagement • For the past decade, companies have been accumula5ng data in what we call a system of record. Those who survive going forward will also have systems of engagement – h=p://www.aiim.org/futurehistory -‐-‐ start with evalua5ng how you can have a relevant conversa5on with each individual customer across all channels. And insuring you have the analy5cal capability and the data to support that analysis. That is where the linkage is between the system of record data to system of engagement. On the technology side, we believe the future of handling this volume lies in leveraging the capability of the cloud. • Yuchon Lee, Vice President, IBM
- 4. Massive Volumes of Informa'on • Per Fortune, by 2020, Internet connected devices will grow from 400 million today to 50 billion. These devices will be talking to each other and to the Internet. By 2020, it is also predicted that our smart phones will have the capability of storing and accessing as much informaUon as IBM’s Watson and super-‐ computers can.
- 5. Considered overall, to what degree does your organiza'on exploit its informa'on assets for analysis and decision making purposes? 0% 20% 40% 60% 80% 100% Structured data Unstructured data 5 Fully 4 3 2 1-‐Poorly Unsure Source: Online survey of Register readers, 122 respondents, first half of November 2011, Freeform Dynamics
- 6. Value of InformaUon per Unit to OrganizaUon 1 HIGH DENSITY LOW DENSITY Systems of Record Systems of Engagement 4 Key driver #1: COST revoluUonized by cloud, HADOOP, NoSQL Managed via Structured InformaUon tradiUonal BI and Data 3 BIG DATA i.e., “data” Warehousing Volume, Velocity, Variety, Complexity 2 6 BIG CONTENT Currently Unstructured unmanaged Social, images, audio, video, text InformaUon i.e., “content” Managed in ECM & ERM 5 systems Key driver #2: USABILITY revoluUonized by advances in semanUcs, search, content & text analyUcs, print stream analyUcs, NLP, and visualizaUon Original concept – Freeform Dynamics
- 7. What kinds of business problems can big data help address? • Modeling risk and failure predicUon • Analyzing customer churn • Web recommendaUons (ala Amazon) • Web ad targeUng • Point of sale transacUon analysis • Threat analysis • Compliance and search effecUveness Source – Cloudera.com
- 8. Vendor opportuni'es § Move “Big” value proposiUon from reduced cost to new value § “Big data” vendors – extend reach beyond pure data by helping organizaUons extract value and extend analyUc techniques to unmanaged unstructured informaUon. § “Big content” vendors – extend reach beyond tradiUonal “high-‐value” (largely document-‐centric) content to find value in massive new quanUUes of unstructured informaUon.
- 9. AIIM’s Plans – and where you can connect • AIIM Industry Watch • Late May publish; survey to go live the first week of April. • Those who commit to sponsoring by the end of March can see the draR quesUons and weigh in. • AIIM Webinars • Archiving & Governance in the Big Data Era, April 11 • Big Data/Big Content (based on survey), June 20 • Execu5ve Leadership Council • Understanding Big Data and its Impact on Buyer Behavior • London, Sept 6 -‐ 7 for the European Council • Dallas, Nov 29 -‐ 30 for the American Council • White paper and all deliverables extensively distributed
- 10. Cool stuff
- 11. Mining social streams… for predic'ons about the next hit… nextbigsound.com
- 12. Mining social streams…for the best food DishUp.com
- 13. Mining social streams…for drug info Treato.com
- 14. Using text analy'cs to mo'vate voters
- 15. Taking Watson to finance and healthcare
- 16. Using sta's'cal analysis to predict tastes