Big data innovation summit boston (sept'12) alteryx -humanizing big data

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Big Data Innovations IE Summit Boston Sept'12. Deck presented by Alteryx - Humanizing Big Data.

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  • Purpose of presentation:Presentation is designed as overview of Alteryx capabilities and companyAudienceAll audiencesLevel of Content100 Level – introductory and overview
  • Purpose of presentation:Presentation is designed as overview of Alteryx capabilities and companyAudienceAll audiencesLevel of Content100 Level – introductory and overview
  • Purpose of presentation:Presentation is designed as overview of Alteryx capabilities and companyAudienceAll audiencesLevel of Content100 Level – introductory and overview
  • Big data innovation summit boston (sept'12) alteryx -humanizing big data

    1. 1. Alteryx Strategic Analytics Humanizing Big Data© 2012 Alteryx, Inc. 1
    2. 2. New Data and New Approaches to Solving The Big Problems – Big Data & Predictive On Our Minds Human Data Application DataMachine Data© 2012 Alteryx, Inc. 2
    3. 3. Decision Makers Want to Take Advantage of This New Insight to Make Real Progress “That’s Cool”© 2012 Alteryx, Inc. 3
    4. 4. Back to the Future: Business Decision Makers Cannot Make The Right Decisions Due to Data & Analysis Issues Cloud Un-Structured Data Content “I just want to understand what we should be doing….”© 2012 Alteryx, Inc. 4
    5. 5. The Attributes of Big Data Are Not Enough IT / Data Group Focus is on the wrong issues • Volume of data wins over insight & value Velocity Volume • Big Data analytics in isolation with no context • Data Scientists saving the world, but not enough are Variety available© 2012 Alteryx, Inc. 5
    6. 6. We Need to Humanize Big Data IT / Data Group Business Volume Velocity Value ? Variety© 2012 Alteryx, Inc. 6
    7. 7. The Alteryx Solution© 2012 Alteryx, Inc. 7
    8. 8. Building Analytic Applications to Answer Strategic Business Questions Analytic Apps Create & Share Analytic Output© 2012 Alteryx, Inc. 8
    9. 9. Delivering the Skills of the Data Scientist to the Data Analyst Capabilities of The Data Scientist that Drive Largest Data Value Today Data or Business Analyst Data Artisan© 2012 Alteryx, Inc. 9
    10. 10. “Finally!”© 2012 Alteryx, Inc. 10
    11. 11. Humanizing Big Data Demo leveraging Predictive Analytics© 2012 Alteryx, Inc. 11
    12. 12. Application description: Identify the “best” prospects to target for your retail brand Workflow: 1. Consume Information via Mongo DB and Hadoop via a Hive Connector 2. Append 3rd party content to consumer records based on Fuzzy Matching Logic 3. Run a logistical regression model to determine the variables that best describe the customer base. 4. Leveraging the regression results, score a series of prospects based on a geographic filter© 2012 Alteryx, Inc. 12
    13. 13. Data Consumption within the visualworkflow via a custom connection toMongoDB:© 2012 Alteryx, Inc. 13
    14. 14. Data Consumption within the visualworkflow via a Hive Connector running onHadoop:© 2012 Alteryx, Inc. 14
    15. 15. Fuzzy Matching configuration to merge desperate sources of data together:© 2012 Alteryx, Inc. 15
    16. 16. Logistic Regression:© 2012 Alteryx, Inc. 16
    17. 17. Analytic Application for Business Users:© 2012 Alteryx, Inc. 17
    18. 18. Analytic Application Output:© 2012 Alteryx, Inc. 18
    19. 19. One Solution & Workflow For Big Data Business ValueFull Spectrum of Packaged MarketEnterprise Data & Customer Data Enrich Integrate Analyze Share Cloud Data Integrate any data Rapid development of Strategic Analytic Un-Structured source sophisticated analytics applications in the hands of Content with unique spatial business decision makers understanding Enhance 3rd Party Tools © 2012 Alteryx, Inc. 19
    20. 20. Value of Alteryx: Trade Area Definition Jonathan Albertini, Senior GIS Analyst, Hannaford Bros. September 19, 2012© 2012 Alteryx, Inc. 20
    21. 21. Disclaimer • The contents to follow are a simple view from my personal experience. This is not a company endorsement.© 2012 Alteryx, Inc. 21
    22. 22. Topics • Background • Use Example – Customer Source Survey • Former Process • Alteryx Process, Visual • Key Take-Aways© 2012 Alteryx, Inc. 22
    23. 23. Background • Hannaford is a Delhaize America Company • Delhaize America: 1,500+ Grocery Locations (6 banners) • Hannaford: 181 locations • Alteryx is deployed throughout the Site Location Research Department for Delhaize America • Primary Goals: Optimize Retail Network, Grow • Secondary Goals: Provide company-wide spatial analytics to entire organization© 2012 Alteryx, Inc. 23
    24. 24. Background • Education • Bachelor of Science, Geography • Master of Geographic Information Technology • No Computer Science/Programming experience • I am not a “developer”…then I met Alteryx© 2012 Alteryx, Inc. 24
    25. 25. Business Problem • Goal: Define Store Level Trade Areas Using Customer Data • Define Relevant Trade Areas (RTA): Marketing Insight • Analogue store performance: Increase forecasting accuracy • Process (no value card to trace customers) • Collect data at point of sale • Make customers „spatial‟ (geocode them) • Group by Geographic Territory • Report by defined RTA using Charts, Tables, Maps • Share with Retail Operations, Marketing, Executives© 2012 Alteryx, Inc. 25
    26. 26. Former Process • MS Excel for Data Parsing (30 Min/store) • MS Access for query builds, data accumulation (30 Min/Store) • PB MapInfo for Mapping (30 Min/store) • No Aerial Image • No Demographic Scope • Pay Consultants to fix broken queries and Access server limitations • Total Software Time Min: 90 Min/Store© 2012 Alteryx, Inc. 26
    27. 27. Alteryx Process • Alteryx for Data Parsing (2 Min/Chain, 180 stores in 2 minutes vs. old process 1 store in 30 minutes) • Alteryx for queries, data accumulation, mapping, aerials, demographics (2 Min/Store) • No consultant/engineer expenses • Cost Neutral • Total Software Time Min: 4 Min/Store© 2012 Alteryx, Inc. 27
    28. 28. What Does It Look Like? My View/Power User View CSS Specialist View Canvas View Analytic App Then Now© 2012 Alteryx, Inc. 28
    29. 29. Key Take-Aways • Saved, Repeatable processes • Only change inputs and data vintages • Basic Analyst can become a software developer • Successfully deploy accurate product throughout an organization with over $5B in annual sales • We save over 250 labor hours (over 6 weeks) per year just on CSS process© 2012 Alteryx, Inc. 29
    30. 30. © 2012 Alteryx, Inc. 30
    31. 31. What‟s Next? Get Social & Try Alteryx @alteryx Get the Alteryx Trial www.alteryx.com/alteryx-trial-form© 2012 Alteryx, Inc. 31
    32. 32. Key Terms • Alteryx • Rick Schultz, Altryx • Big Data Innovation • Jonathan Albertini • Strategic Analytics • Hannaford Bros • Predictive Analytics • Fuzzy Matching • Social Media Analytics • Logistic Regression • Real-time optimization • Hive Connector • Predictive Analytics • Data Artisan • Marketing optimization • Data Scientist • Big Data • Regression Analysis • Big Data Analytics • Social data • Unstructured data • Humanizing Big Data • Analytics Platform • Unstructured Data© 2012 Alteryx, Inc. 32

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