Enterprise Search, more relevant now than ever


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  • Busy slide – but tells the story of IM Search tools in all the systems, but the user has to command/understand them and to pull the output together
  • Four vendors have since been acquired by software behemoths: Autonomy/HP, Endeca/Oracle, Exalead/3DS, Vivisimo/IBM. Funnelback had been acquired by the CMS vendor Squiz in 2009. And apart from Funnelback Looking at the Microsoft/FAST experience, this does not bode well for innovation, choice, or future support. Fast Annual report 2006 – “search is the portal” Furthermore there is the FUD that comes after acquisition Recommind and sinequa are probably next – so which product can you chose whish will have a ‘guaranteed’ level of consistency across the deployment and use lifecycle?
  • There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing eric schmidt 2010 Democratisation of data 800 Tweets per second (12 gigabytes) Facebook generates 100 TB of data…per day
  • Value more than obvious ROI Unilever, 6,000 specialists 20 countries eScience project accelerate company’s access to global information. promote the usage of public data for biology and informatics research. partner with genomic data analysis company Eagle Genomics relies on large AWS processing, and Amazon RDBM to store the results. “ Unilever’now processes genetic sequences 20x faster, 10x more users — without incurring higher compute costs. Deutsche Postbank (UK). corporate lending for commercial real estate (CRE) CRE reporting becoming increasingly time consuming and involved multiple staff to manually collect data from disparate sources. selected an IBM Smart Analytics system reducing the time to produce reports for CRE from hours to minutes -'accurate to the penny'. plans to extend it to the bank's finance operations, analysing loan and interest data, and performing 'what-if' scenarios using graphical data. Implementing the system also unexpectedly highlighted inaccuracies in existing data Thomson Reuters, 55,000 staff spread across 100 countries. shared IT infrastructure supporting around 16 petabytes of global data – foundation Westlaw legal research service, used by 98% of the largest firms in the US. WestlawNext offering required a shared IT infrastructure and cloud foundation, avoid building a new 2MW data centre at an estimated cost of $65m – 1 st year, we scaled to 6,000 new users, 50% plus
  • There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing eric schmidt 2010
  • Fairly obvious, but there is another information source ignored in the original concept – the people with knowledge Need to exploit not only for cost/effectiveness, but RM as well No longer the hard facts, but the soft data as well
  • Search has to be more intelligent to present ‘just the facts’ on smaller form factor devices, in faster time
  • More than ever, the selection of an enterprise search solution is strategic
  • Enterprise Search, more relevant now than ever

    1. 1. responsive, credible, flexibleEnterprise SearchMore relevant now than everMike DavisPrincipal Analyst4 December 2012 © All images acknowledged 1 © msmd advisors 2012
    2. 2. Running orderIsn’t enterprise search a ‘done deal’?What’s all this about ‘Big Data’ – where does it fit?What is Big Data being used for ?What are the implications for enterprise search?What do I need to do? 2 © msmd advisors Ltd 2012
    3. 3. Decision making requires effective informationThat’s delivered:At the right place – and in contextAt the right time – and complete / credible / trustedTo the right person(s) – who have authority to make decisionsAnd it could be anywhere across the organisations systems, or out in the cloud in social media 3 © msmd advisors Ltd 2012
    4. 4. Information in and around theorganisation WWW RDBMS BIG RDBMS RDBMS RDBMS RDBMS CMS DATA Data and information within the organisation 4 © msmd advisors 2012
    5. 5. Enterprise search is not the commoditythat many consider it to be• Acquisition and consolidation have not simplified the task of selecting an enterprise search solution• Created FUD• Open source software now making an impact• Social media still a challenge for many search solutions 5 © msmd advisors 2012
    6. 6. Key enterprise search vendors– where have they gone? 6 © msmd advisors Ltd 2012
    7. 7. The emergence and rise of big data• Volume – data at scale• Variety – types of data• Velocity – real time• Veracity – uncertainty 7 © msmd advisors 2012
    8. 8. The emergence and rise of big data• NOT just an issue for the big corporates/multinationals• Every organisation’s problem• I personally have 5TB + ‘under management’ at home 8 © msmd advisors 2012
    9. 9. 5 Terabytes of electronic data undermanagement 9 © msmd advisors Ltd 2012
    10. 10. Understanding Big Data 10 © msmd advisors Ltd 2012
    11. 11. Understanding Big Data 11 © msmd advisors Ltd 2012
    12. 12. Understanding Big Data 12 © msmd advisors Ltd 2012
    13. 13. Understanding Big Data 13 © msmd advisors Ltd 2012
    14. 14. Understanding Big Data 14 © msmd advisors Ltd 2012
    15. 15. Small can be bigDatabase/IT perspective Content: 100 character string, Metadata: source (Twitter), date, time, username @mdavis – very pleased with @ipad, retailer @service rubbish though, didn’t know their product #fail Product Process Sentiment Measurement 15 © msmd advisors 2012
    16. 16. What value are organisations gainingfrom big data? 16 © msmd advisors 2012
    17. 17. Source and © : Saïd Business 17© msmd advisors 2012 School & IBM 2012
    18. 18. Where does enterprise search fit? Enterprise search WWW BIG RDBMS RDBMS RDBMS RDBMS CMS DATA RDBMS Data and information within the organisation 18 © msmd advisors 2012
    19. 19. Intelligence and the UI are becomingkey– it’s all about real estate“You can’t deliver the sales analysis in 140 characters or less” 19 © msmd advisors Ltd 2012
    20. 20. No longer a 1024 monitor 20 © msmd advisors Ltd 2012
    21. 21. Implications for your organisation• Seek to implement an enterprise search solution that covers all your information sources – internal and external• Gaining the benefits of Big Data, social media sources and accessing individual knowledge requires openness• Organisational information needs to be regarded as a corporate asset 21 © msmd advisors 2012
    22. 22. Summary The requirement to make faster and better decisions on increasingly large and disparate information sources needs enterprise search tools that will out-live the repositories and systems they crawl• Big data is the challenge that enterprise search has matured for• Enterprise search must address corporate systems, social media, and exploit the value of individual knowledge 22 © msmd advisors 2012
    23. 23. Thank youmiked@msmd-advisors.com@mikemasseydavis 23 © msmd advisors 2012