Bridging the Gap: Analyzing Data in and Below the Cloud
- 1. The Briefing Room Bridging the Gap: Analyzing Data In and Below the Cloud
- 2. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh [email protected]
- 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. Twitter Tag: #briefr The Briefing Room Topics This Month: CLOUD August: ANALYTIC PLATFORMS September: ANALYTICS
- 5. Twitter Tag: #briefr The Briefing Room Cloud
- 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. 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 (Salesforce.com, 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. 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.
- 11. Tableau Desktop For Anyone • Explore and visualize data • Self-service analytics for everyone • Blazing speed against massive data
- 12. Tableau Server For Organizations • Complete business intelligence system • Web dashboards and applications • Secure information management • Enterprise scalability
- 13. Fast, easy, beautiful self-service analytics for everyone
- 16. Tableau Server running in the Cloud
- 17. Start fast Stay secure Work anywhere Grow smart
- 18. Fast, Flexible Deployment 76% Choose Cloud for Speed to Deploy IDC
- 19. Sandeep Varma, Herring Creek Capital
- 20. Easy Mobile Access No VPN or DMZ Required Easy to Secure Easy sharing
- 21. Greg Sheldon, Chief InformaKon Officer at Elite Brands. Greg Sheldon, Chief InformaKon Officer at Elite Brands.
- 23. Tableau Online
- 24. Tableau Online On-‐Premise Data (push)
- 25. Tableau Online Cloud Data (pull) On-‐Premise Data (push)
- 26. Usable BY EVERYONE Accessible EVERYWHERE Easily EVERYPLACE Applicable TO ALL DATA
- 27. Simple Pricing $500 per user per year
- 28. 200
- 30. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: Dean Abbott
- 31. Analyzing Data in the Cloud Dean Abbott Abbott Analytics, Inc. July 23, 2013 Email: [email protected] Blog: http://abbottanalytics.blogspot.com Twitter: @deanabb © Abbott Analytics, Inc. 2001-201331
- 32. 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
- 33. 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
- 34. 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
- 35. 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
- 36. 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?
- 37. Twitter Tag: #briefr The Briefing Room
- 38. Twitter Tag: #briefr The Briefing Room July: CLOUD August: ANALYTIC PLATFORMS September: ANALYTICS Upcoming Topics www.insideanalysis.com
- 39. Twitter Tag: #briefr The Briefing Room Thank You for Your Attention Image credit for Slide 5: yukipon / 123RF Stock Photo