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Open Analytics DC April 2012 Meetup


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Open Analytics DC April 2012 Meetup

  1. 1. Performance, Scalability, andEconomic Benefit of Open Analytics
  2. 2. About UsCore Competencies include: Search (Apache Lucene, Elastic Search), Big DataAnalytics (MongoDB, Apache Hadoop), Natural Language Processing (Apache OpenNLP), Web Crawling (Apache Nutch) Big Data Unstructured Data Agile Intelligence Structured Data Open Analytics Business Value
  3. 3. Agenda• Why a need in the market• Market trends and patterns• What is open analytics• Deriving economic value
  4. 4. Why the need Data is becoming the new raw material of business: An economic input almost on par with capital and labor.“Every day I wake up and ask, „how can I flow data better, manage data better, analyze data better?” Rollin Ford, the CIO of Wal-Mart Source: Data, Data Everywhere, The Economist, February 25, 2010
  5. 5. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)
  6. 6. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)
  7. 7. Market growth (BI) $ of growth by year40 “After three decades, the business analytics market is finally reaching the mainstream” $33.9B35 “There are few growth inhibitors in the $30.4B30 foreseeable future” $28.1B $24.3B $24.9B25 $22.1B $19.4B20 $17.5B1510 5 0 2005 2006 2006 2008 2009 2010 2011 2012 Source: IDC Worldwide Business Analytics Software - $billions – 2011 and 2012 estimates
  8. 8. Top 5 CIO Business and Technology Priorities (2012) R Top 5 Technology Priorities R Top 5 Business Priorities 1 Analytics and business intelligence 1 Increasing enterprise growth Attracting and retaining new 2 Mobile Technologies 2 customers Cloud Computing (SaaS, IaaS, 3 3 Reducing Enterprise Costs PaaS) Creating new products and 4 Collaboration technologies 4 services (innovation) 5 Legacy modernization 5 Delivering operational results Source: Gartner Top 10 Business and Technology Priorities in 2012
  9. 9. Open Analytics• Process to design and implement analytical solutions• Joins open tools and agile engineering techniques• Goal is to enable organizations to deliver analysis products smarter, faster and more efficient which enables top line growth
  10. 10. How does this relate to open analytics R Top 5 Technology Priorities 1 Analytics and business intelligence R Open Analytics 2 Mobile Technologies 3 Cloud Computing (SaaS, IaaS, PaaS) 1 Open innovation 4 Collaboration technologies 5 Legacy modernization 2 Mission agility R Top 5 Business Priorities 3 Open source software 1 Increasing enterprise growth 2 Attracting and retaining new customers 4 Easily extensible algorithms 3 Reducing Enterprise Costs Creating new products and services 4 (innovation) 5 Analysis teamed with technology 5 Delivering operational results
  11. 11. Open Architecture + Open Source = Open Analytics Solutions for analysis • Processing needs • Search and Aggregation • Harvesting and Enrichment • Data and Document Storage • Machine learning • Visualization Business Value enabled analysis • Require the ability to quickly change • Require the ability to quickly scale • Require the ability to visualize uniquely • Require the ability to be domain specific
  12. 12. Deriving economic value• What problem will I truly be solving?• How is my big data solution to derive analytical meaning?• Can I apply a $ value to the solution?If I said no any of these do I really have a problem today and is status quo okay? Start with a simple question you are trying to solve and get specific really fast!
  13. 13. Question for the audienceHow are you using open source big dataanalytics today to drive topline business growth?a) Unstructured and structured data fusionb) Machine learning and predictionc) Dashboarding, mashups and data visualizationd) Other?
  14. 14. Thank You!!! Christopher Morgan