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Big Data: Briefing Room with John Myers and Alt...

alteryx
December 07, 2012

Big Data: Briefing Room with John Myers and Alteryx

Big Data: Briefing Room with John Myers and Alteryx

Changing Definition of Big Data by John Myers of EMA
Making Big Data Easy to Use by Paul Ross of Alteryx

alteryx

December 07, 2012
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  1. John L Myers Enterprise Management Associates Senior Analyst [email protected] Changing

    Definition of Big Data © 2012 Enterprise Management Associates, Inc.
  2. Speaker Slide 2 John Myers joined Enterprise Management Associates in

    2011 as senior analyst of the business intelligence (BI) practice area. John has 10+ years of experience working in areas related to business analytics in professional services consulting and product development roles, as well as helping organizations solve their business analytics problems, whether they relate to operational platforms, such as customer care or billing, or applied analytical applications, such as revenue assurance or fraud management. John L Myers Enterprise Management Associates Senior Analyst © 2012 Enterprise Management Associates, Inc. JohnLMyers44
  3. Big Data Emerging from Data Center Slide 3 © 2012

    Enterprise Management Associates, Inc.
  4. Big Data isn’t just a “Hadoop” Slide 4 © 2012

    Enterprise Management Associates, Inc.
  5. Enterprise Management Associates’ Hybrid Data Ecosystem © 2012 Enterprise Management

    Associates, Inc. Hybrid Data Ecosystem – Created by Shawn Rogers and John Myers of Enterprise Management Associates.
  6. Big Data Platforms have Multiple Uses Slide 7 © 2012

    Enterprise Management Associates, Inc.
  7. Question and Answer •How do you view the future of

    Big Data “integration” between various “nodes” of architectures like the EMA Hybrid Data Ecosystem? • Movement of data? • Movement of results? • Both? • Neither? Slide 9 © 2012 Enterprise Management Associates, Inc.
  8. Question and Answer •Can a Data Artisan be “made”? •

    Do you need to find them in your organization? • Can Data Artisans be “imported”? •What is the importance of ease of use in terms of Data Artisan “development” / transition? Slide 10 © 2012 Enterprise Management Associates, Inc.
  9. Question and Answer •What is the most common “combination” of

    structures in Big Data applications? Structured and multi-structured data? Several sets of multi-structured data? •What is the most important combination of structures? Slide 11 © 2012 Enterprise Management Associates, Inc.
  10. Question and Answer •What are the keys to introducing Big

    Data into existing analytical and operational processes? •How difficult is it to introduce predictive analytics using Big Data to an organization? Slide 12 © 2012 Enterprise Management Associates, Inc.
  11. 1 © 2012 Alteryx, Inc. Confidential. More Employees Need Big

    Data Insight 77% agree more employees with big data insight = informed decisions Yes 74% No 26% 74% say more data shared = more effective decisions Full report at www.alteryx.com Source= Big Data and The Democratisation of Decisions Report by The Economist Intelligence Unit, Sponsored by Alteryx (Oct 2012)
  12. 4 © 2012 Alteryx, Inc. Confidential. Still Too Difficult to

    Make the Right Decisions Un-Structured Content Cloud Data “I just want to understand what we should be doing….”
  13. 6 © 2012 Alteryx, Inc. Confidential. Alteryx Customers Making Analytics

    Real for Their Business • Value to retail network • Optimize product • Reduce risk of overstock • Improve response 63% • More targeted mailings • Extending cust. insights • Reduced churn • Streamline pop. analysis • Optimized equip. use
  14. 7 © 2012 Alteryx, Inc. Confidential. The Data Artisan Can

    Help Close the Gap Data Artisan Capabilities of Data Scientist that Drive Largest Value Today Line of Business / Data Analyst
  15. 8 © 2012 Alteryx, Inc. Confidential. Three Keys for Making

    Big Data User Friendly 1 2 3 Get Big Data insights in the hands of the business now, not later Provide data analysts with the the right capabilities to make use of whatever data they need Make consuming analytics as easy as the apps that decision makers use at home
  16. 10 © 2012 Alteryx, Inc. Confidential. Data Integration & Analytic

    Workflow Integrate any data source Integrate Rapid design of predictive analytics with unique spatial understanding Analyze App & Data All Relevant Data Enrich Packaged Market & Customer Data
  17. 11 © 2012 Alteryx, Inc. Confidential. Create, Publish & Run

    Analytic Apps in Cloud Analytic Apps Assemble & Publish Analytic App Private or Public Cloud Run App Analytic Output
  18. 12 © 2012 Alteryx, Inc. Confidential. Structured | Semi-structured |

    Unstructured Integration Local & Productivity Alteryx Big Data Architecture – App Design Inter Source Data Integration Data Blending Agile Database Data Quality Data Management Analytics Predictive Statistical Spatial In DB Analytics Ingest Output & Upload NoSQL Hadoop Big Data Discovery Analytics Consume Analytic Apps 3rd Party Multiple Format Output (Coming soon) Publish Output Decision Maker LOB Analyst IT & Data Warehouse Data Warehouse
  19. 13 © 2012 Alteryx, Inc. Confidential. Next Steps www.alteryx.com Learn

    More or Get the 30-Day Trial: gallery.alteryx.com Visit the Analytics Gallery:
  20. 14 © 2012 Alteryx, Inc. Confidential. ©2012 Tableau Software Inc.

    All rights reserved. ©2012 Tableau Software Inc. All rights reserved. Key Terms • Big Data • Big Data Analytics • Big Data Analysis • Humanizing Big Data • Strategic Analytics • Predictive Analytics • Data Scientist • Data Artisan • Data Analyst • Big Data Gap • Unstructured data • Analytics Platform • Unstructured Data • Alteryx • Bloor • Paul Ross • John L Myers • EMA • Enterprise Management Associates • Analytics Gallery • Alteryx Gallery • Humanizing Big Data • Tableau integration • Tableau conference