Information Innovation: Turning Insights into Opportunities


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  • Information Innovation: Turning Insights into Opportunities

    1. 1. Information Innovation: Turning Insight into Opportunity<br />Rob Saccone<br />Vice President, Product Management<br />
    2. 2. the capacity to gain an accurate and deep intuitive understanding<br />insight<br />immediate and clear understanding that takes place without recourse to overt trial-and-error behavior<br />an understanding of relationships that sheds light on or helps solve a problem<br />
    3. 3. insight<br />foresight<br />hindsight<br />
    4. 4. insight<br />people<br />technology<br />data<br />
    5. 5.
    6. 6. insight<br />people<br />technology<br />data<br />
    7. 7. insight<br />people<br />technology<br />data<br />
    8. 8. even more social content<br />public records<br />shared firm content<br />news and events<br />benchmarking data<br />market data<br />in “the cloud”<br />usage data<br />inside the firm<br />social content<br />social content<br />outside the firm<br />usage data<br />email<br />documents and records<br />time and billing<br />articles and publications<br />contacts and activities<br />
    9. 9. even more social content<br />public records<br />other shared firm content<br />news and events<br />benchmarking data<br />market data<br />usage data<br />social content<br />your competition, and your clients, are watching…are you?<br />
    10. 10. The “Information Value Chain”<br />Data is entered or collected…<br />then cleaned, classified, related to other data…<br />to create, organize, integrate, and deliver information…<br />that ultimately is applied to inform decisions.<br />Source: “The value chain for information” @<br />
    11. 11. Data is entered or collected…<br />to create, organize, integrate, anddeliver information…<br />then cleaned, classified, related to other data…<br />that ultimately is applied to inform decisions.<br />
    12. 12. There are technologies that can refine<br />raw data into valuable information<br />Email and Contacts<br />Hubbard OneContactNet<br />Contacts and relationships between people and businesses<br />Court Filings and Legal Proceedings<br />Hubbard OneMonitor Suite<br />Competitive intelligence, legal activity trends, IP filings, deal information and case outcomes<br />Documents and Emails<br />Thomson ReutersCARE, KeyCite, etc<br />Named entities, legal topics and practice categories, citations<br />Any Web / Text / Files / Docs<br />Thomson ReutersCalais<br />Named entities, facts, events<br />News and Social Media <br />Manzama<br />Sentiment, mentions and references<br />
    13. 13. There are technologies that provide plumbing<br />between all of your sources of data – automatically<br />Court Filings and Legal Proceedings<br />Thomson Reuters Content<br />Email and Contacts<br />Public Records<br />Documents and Emails<br />Competitive Intelligence<br />Web / Text / Files / Docs<br />Legal Research<br />News and Social Media <br />
    14. 14. There are technologies that simply speed up production and reduce costs<br />I’m meeting with Client XYZ in 10 minutes!<br />Client Financials<br />Public Records<br />Matter History<br />Legal Activity<br />Contacts and Activities<br />Competitive Intelligence<br />Documents, Records, etc.<br />News and Events<br />Here’s all we know about Client XYZ!<br />
    15. 15. There are technologies that can help you “see” the answers<br />
    16. 16.
    17. 17. More than dashboards and reports…combine all sources of data to provide insight and analysis <br />…but first need to solve fundamental challenges around data quality and completeness<br />
    18. 18. Ultimately, data plus technology provides insight to people that want to make better decisions. But do they know what they are looking for?<br />?<br />
    19. 19. “A shortage of the managerial talent necessary to make the most of big data is a significant and pressing challenge and one that companies and policy makers can begin to address in the near term…  <br /> …the United States alone faces a shortage of 140,000 to 190,000 people with deep analytical skills as well 1.5 million managers and analysts to analyze big data and make decisions based on their findings.”<br />Source: McKinsey Global Institute - May 2011 Big Data Executive Briefing<br />
    20. 20. “big data”<br />“data scientist”<br />Source:<br />
    21. 21. Get your **** together!<br />MP<br />CKO<br />CMO<br />CFO<br />CIO<br />
    22. 22. Wicked smaht tips<br />Start where you are<br />Ask crunchy questions<br />Listen carefully<br />Accelerate insights<br />Enhance visualization capabilities to engage users<br />Build a fact-driven culture<br />Practice right-fit analytics<br />Source: Deloitte, “Crunchy Questions for Sticky Issues”,<br />