Bridging the Gap: Analyzing Data in and Below the Cloud


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The Briefing Room with Dean Abbott and Tableau Software
Live Webcast July 23, 2013

Today’s desire for analytics extends well beyond the traditional domain of Business Intelligence. That’s partly because business users are realizing the value of mixing and matching all kinds of data, from all kinds of sources. One emerging market driver is Cloud-based data, and the desire companies have to analyze this data cohesively with their on-premise data sets.

Register for this episode of The Briefing Room to learn from Analyst Dean Abbott, who will explain how the ability to access data in the cloud can play a critical role for generating business value from analytics. He’ll be briefed by Ellie Fields of Tableau Software who will tout Tableau’s latest release, which includes native connectors to cloud-based applications like, Amazon Redshift, Google Analytics and BigQuery. She’ll also demonstrate how Tableau can combine cloud data with other data sources, including spreadsheets, databases, cubes and even Big Data.

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Bridging the Gap: Analyzing Data in and Below the Cloud

  1. 1. The Briefing Room Bridging the Gap: Analyzing Data In and Below the Cloud
  2. 2. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh
  3. 3. Twitter Tag: #briefr The Briefing Room !   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! Mission
  4. 4. Twitter Tag: #briefr The Briefing Room Topics This Month: CLOUD August: ANALYTIC PLATFORMS September: ANALYTICS
  5. 5. Twitter Tag: #briefr The Briefing Room Cloud
  6. 6. Twitter Tag: #briefr The Briefing Room Analyst: Dean Abbott Dean Abbott is President of Abbott Analytics, Inc. Dean has more than 21 years of experience applying advanced data mining, data preparation and data visualization methods in real-world data-intensive problems, including fraud detection, response modeling, survey analysis, planned giving, predictive toxicology, signal process and missile guidance. He has developed and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions and clustering algorithms. He is a seasoned instructor, having taught a wide range of data mining tutorials and seminars.
  7. 7. Twitter Tag: #briefr The Briefing Room !   Tableau builds software for data visualization, business intelligence and analytics !   Its latest release, Tableau 8.0, offers new capabilities such as native connectors to cloud-based applications (, Google Analytics and BigQuery, Amazon Redshift) and Tableau Online, a hosted version of Tableau Server !   These added features enable access to BI and analytics in the cloud using both on-premise and cloud-based data Tableau Software
  8. 8. Twitter Tag: #briefr The Briefing Room Ellie Fields Ellie Fields is the Director of Product Marketing at Tableau Software. She has spoken at numerous industry events for business intelligence as well as for data journalism. Prior to Tableau, Ellie worked at Microsoft and in late-stage venture capital. Ellie is a graduate of Rice University and the Stanford Graduate School of Business.
  9. 9. Tableau Desktop For Anyone • Explore and visualize data • Self-service analytics for everyone • Blazing speed against massive data
  10. 10. Tableau Server For Organizations • Complete business intelligence system • Web dashboards and applications • Secure information management • Enterprise scalability
  11. 11. Fast, easy, beautiful self-service analytics for everyone
  12. 12. Tableau Server running in the Cloud
  13. 13. Start fast Stay secure Work anywhere Grow smart
  14. 14. Fast,  Flexible  Deployment   76%   Choose  Cloud  for   Speed  to  Deploy   IDC  
  15. 15. Sandeep  Varma,  Herring  Creek  Capital    
  16. 16. Easy  Mobile  Access   No  VPN  or  DMZ  Required   Easy  to  Secure   Easy  sharing  
  17. 17. Greg  Sheldon,  Chief  InformaKon   Officer  at  Elite  Brands.       Greg  Sheldon,  Chief  InformaKon  Officer  at  Elite  Brands.  
  18. 18. Tableau  Online  
  19. 19. Tableau  Online   On-­‐Premise  Data     (push)  
  20. 20. Tableau  Online   Cloud  Data     (pull)   On-­‐Premise  Data     (push)  
  21. 21. Usable   BY  EVERYONE   Accessible   EVERYWHERE   Easily   EVERYPLACE   Applicable   TO  ALL  DATA  
  22. 22. Simple  Pricing   $500     per  user     per  year  
  23. 23. 200  
  24. 24. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: Dean Abbott
  25. 25. Analyzing Data in the Cloud Dean Abbott Abbott Analytics, Inc. July 23, 2013 Email: Blog: Twitter: @deanabb © Abbott Analytics, Inc. 2001-201331
  26. 26. What is a Cloud? •  Hardware that isn’t “here” •  Flexible hardware and virtual machines •  Don’t worry about size—grow as needed •  Don’t worry about time—only pay for what you use 32
  27. 27. How Big is Big? •  Most analytics projects use small data •  10Ks to 1Ms of records; < 1GB; desktop tools •  Some analytics projects use medium data •  > k GB; too big for comfortable laptop/standard desktop •  Fits into server -> client – server architecture •  A few analytics projects use true big data •  10s GB active processing •  Leverage specialty software / hardware •  Column stores; high performance database •  Cloud (Google File System, Hadoop) 33
  28. 28. Predictive Analytics in the Cloud •  Analytics (BI, BA, PA, DM): Data-Driven Decisions •  Predictive Analytics: Data-Driven Decisions using machine learning / statistics / AI •  Automated discovery of which variables relate to target variable •  Building potentially complex, multi-dimensional, nonlinear relationships between inputs and target •  Visualization of PA: Data Insight •  Show how variables relate to target •  Informs decision-makers why key variables are important in predictions
  29. 29. Obstacles •  Setup costs •  Not IT setup costs, but there are still infrastructure costs •  Integration with operational systems •  The cloud environment is a silo. •  Connectivity •  Real-time operational systems vs. the analyst sandbox •  Security •  Or perception of security issues •  Public/secure cloud vs. private servers © Abbott Analytics, Inc. 2001-201335
  30. 30. Questions 1.  How flexible is the query environment for visualization? How easy is it to change the variables and slices one needs to visualize? (cloud vs. local OLAP cubes) 2.  How would an analyst interact with the cloud environment to do Exploratory Data Analysis (EDA)? 1.  What is the framework to connect with data mining / predictive analytics software? 3.  What strategies do you recommend for reducing data flow to / from the cloud environment?
  31. 31. Twitter Tag: #briefr The Briefing Room
  32. 32. Twitter Tag: #briefr The Briefing Room July: CLOUD August: ANALYTIC PLATFORMS September: ANALYTICS Upcoming Topics
  33. 33. Twitter Tag: #briefr The Briefing Room Thank You for Your Attention Image credit for Slide 5: yukipon / 123RF Stock Photo