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Our Top 20 Most-Read Data and Analytics Notes Week, Feb 4-10

by Andrew White  |  February 25, 2019  |  Comments Off on Our Top 20 Most-Read Data and Analytics Notes Week, Feb 4-10

Here are the top 20 most-read research notes from last week – ignoring our branded research – along with document ID and lead author.  Our KI Primers are popular – they call out our planned research for the upcoming year.  But AI, data hub strategy, and being data-driven all are very popular:

  1. Data and Analytics Strategies Primer for 2019 375706 Saul  Judah
  2. Build AI-Specific Governance on Three Cornerstones: Trust, Transparency and Diversity 375564 Svetlana  Sicular
  3. Analytics and BI Solutions Primer for 2019 375707 Joao  Tapadinhas
  4. Data Management Solutions Primer for 2019 373856 Nick  Heudecker
  5. Data Hubs, Data Lakes and Data Warehouses: Choosing the Core of Your Digital Platform 348879 Ted  Friedman
  6. Build a Data-Driven Enterprise 348390 Mike Rollings
  7. Must-Have Roles for Data and Analytics, 2018 367011 Jorgen  Heizenberg
  8. Toolkit: Best of … Data and Analytics Strategies 351298 Frank  Buytendijk
  9. Gartner’s Enterprise Information Management Maturity Model 289832 Douglas  Laney
  10. How to Avoid Data Lake Failures 367848 Nick  Heudecker
  11. Augmented Analytics Is the Future of Data and Analytics 375087 Rita L. Sallam
  12. Select the Right Analytics and Business Intelligence for the Right User and Use Case 356508 Cindi Howson
  13. Use Adaptive Governance for Data and Analytics to Drive Digital Business Success 367094 Saul  Judah
  14. Getting Started With Data Literacy and Information as a Second Language: A Gartner Trend Insight Report 352314 Valerie A. Logan
  15. Implementing the Data Hub: Architecture and Technology Choices 368376 Ted  Friedman
  16. Create a Master Data Roadmap With Gartner’s MDM Maturity Model 357732 Bill  O’Kane
  17. Toolkit: Job Description for the Role of Data Scientist for Small/Emerging Teams 373020 Alexander  Linden
  18. Best Practices for Designing Your Data Lake 315546 Nick Heudecker
  19. Create a Centralized and Decentralized Organizational Model for Analytics 340483 Kurt  Schlegel
  20. Gartner Analytics Evolution Framework 368793 Joao  Tapadinhas

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Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio




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