How to Achieve Agility with Analytics


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The Briefing Room with Robin Bloor and Birst

Slides from the Live Webcast on June 19, 2012

Many organizations are realizing the value of managing the end-to-end process of analytics. By securing a strategic view of the information management lifecycle, these companies are enabling true business agility. Analysts can quickly visualize and identify relevant trends; meanwhile, data providers and managers have an open dialogue with their business counterparts, because the whole team can see what's happening where.

Check out this episode of The Briefing Room to learn from veteran Analyst Robin Bloor, who will explain how the concept of an Information Oriented Architecture (IOA) is gaining traction within many data-centric enterprises. He'll be briefed by Brad Peters of Birst, who will tout his company's technology stack, which spans the spectrum of Business Intelligence and Analytics functionality. He'll talk about the value of managing the entire information flow from within the same environment. And he'll explain why the Birst approach enables compelling data integration and visualization, thereby facilitating and enhancing the process of analytics.

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How to Achieve Agility with Analytics

  1. 1. Eric.kavanagh@bloorgroup.comTwitter Tag: #briefr
  2. 2. !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers!Twitter Tag: #briefr
  3. 3. !   June: Intelligence !   July: Disruption !   August: Analytics !   September: Integration !   October: Database !   November: CloudTwitter Tag: #briefr
  4. 4. !   Business Intelligence technologies are designed to let organizations take all their capabilities and convert them into knowledge, ultimately getting the the right information to the right people at the right time. !   As data tends to come from increasingly disparate sources, it is crucial that BI tools provide the means to access data from anywhere, anytime. !   Emerging technologies around the cloud are making the BI process more accessible to both IT and business users.Twitter Tag: #briefr
  5. 5. Analyst: Robin Bloor Robin Bloor is Chief Analyst at The Bloor Group. Robin.Bloor@Bloorgroup.comTwitter Tag: #briefr
  6. 6. !   End-to-end BI !   Embedded, multi-tenant SaaS platform !   On-premise or cloud deployments !   Robust and flexible dashboardsTwitter Tag: #briefr
  7. 7. Brad Peters is the CEO and co-founder of Birst. Brad has spent the last 10 years building analytics products and solutions. Prior to working at Birst, he helped found and later led the Analytics product line at Siebel Systems which forms the basis of Oracle’s current OBIEE product family. Brad started his career as an investment banker for Morgan Stanley in the New York M&A practice. Brad regularly blogs for where he writes about Cloud and business software related issues. He received a BS and MS in electrical engineering and computer science from UC Berkeley, where he was a National Science Foundation Fellow. He received his MBA from Harvard Business School.Twitter Tag: #briefr
  8. 8. AGILE  BUSINESS  ANALYTICS   AND  BIRST   Brad  Peters,  CEO  and  co-­‐Founder     June  19,  2012  
  9. 9. BIRST  TODAY  •  Over  1,000  organiza=ons  rely  on  Birst  across  all   ver=cals   –  175+  direct  customers   –  Mostly  Midsized/Departmental  Enterprises  •  65%  direct/35%  channel  (OEM)  •  Typical  deployment  have  mul=ple  data  sources   with  large  data  volumes  (>100’s  M  records)  10  
  11. 11. ROBUSTNESS  OF  SUITE  WITH   AGILITY  OF  DISCOVERY   BI  Suites   Capability   Agility  12  
  12. 12. WHY  ORGANIZATIONS  CHOOSE  BIRST  ü  Only  Enterprise  class,  mul=-­‐tenant,  SaaS  BI  plaTorm  on  the  market   –  Leading  provider  of  embedded  SaaS  BI  ü  End-­‐to-­‐end  BI  is  more  powerful  than  data  discovery  tools  ü  Reduced  opera=onal  complexity   –  Public  or  Private  Cloud  op=ons   –  All  the  benefits  of  SaaS  without  the  constraints  ü  Economic  advantage   –  Opera=ng  expense  vs.  capital  expenditure   –  Lower  TCO  -­‐  As  li^le  as  1/3  the  cost  of  tradi=onal  BI  /  Analy=cs  plaTorms  13  
  14. 14. UNPARALLELED  DEPLOYMENT   FLEXIBILITY     Birst  Cloud   Birst  Appliance  15  
  15. 15. OPTIMIZING  SPEED  &  COST  FOR  ALL  NEEDS  Speed   MS  SQL  Server   In-­‐memory  DB   Columnar  DB   Hadoop/Hive   1GB   10GB   100GB   1TB   10TB   100TB   Scale  16  
  19. 19. BIRST  FOR  AD-­‐HOC  
  21. 21. FIND  OUT  MORE  •  Test  Drive  Birst   –  Register  at  •  Join  a  Birst  live  demo     –  Every  Wed  at  11:00  am  PT/ 2:00  pm  ET   –  Register  at  •  Contact  us   –  Email:   –  Phone:    (866)  940-­‐1496  Slide  22  
  22. 22. Twitter Tag: #briefr
  23. 23. Twitter Tag: #briefr
  24. 24. !   Hindsight: Regular reporting/operational BI !   Oversight: Dashboards, OLAP, BPM, etc. !   Insight: Data mining, statistical analysis (trends and relationships) !   Foresight: Predictive analyticsTwitter Tag: #briefr
  25. 25. !   Data Flow Integration/automation !   Performance/timeliness (overall) !   Data Coverage: Data sources, also structured/ unstructured data !   Effective representation of data !   User self-service !   Actionable (manually) !   Automated action !   CompletenessTwitter Tag: #briefr
  26. 26. Twitter Tag: #briefr
  27. 27. Twitter Tag: #briefr
  28. 28. •  Front-end BI tools often include capabilities that assist in organizing effective data flow. In what ways does Birst assist with data flow architecture? •  Your company was one of the first in the BI sector to leverage the power of the cloud. Two questions: •  What proportion of your customer bases chooses cloud (SaaS) deployment? •  What specifically does Birst view as the advantages of cloud (SaaS) deployment? •  What is Birst’s capability in respect of unstructured and multi- structured data?Twitter Tag: #briefr
  29. 29. •  Your graph that characterizes different data sources implies high scalability. Can you speak to Birst’s capability in use with large data stores (including Hadoop)? •  Two of your competitors have in-memory database capability for use on PCs. Does this give them an analytical speed advantage over Birst or does Birst deliver similar analytical speeds? •  One aspect of usability in BI is the ability to create mash-ups. Does Birst have any specific capability that assists in this? •  An increasingly important emphasis in BI is on actionability. Are there any characteristics of Birst that assist in integrating BI with business processes? •  Does Birst have any specific capabilities that assist with mobile BI and collaborative BI key directions?Twitter Tag: #briefr
  30. 30. !   June: Intelligence !   July: Disruption !   August: Analytics !   September: Integration !   October: Database !   November: CloudTwitter Tag: #briefr