David Haertzen

David Haertzen is an acknowledged trail blazer and thinker in the fields of data warehousing, business intelligence and analytics. He has aided a diverse set of organizations from start-ups to multinationals to utilize data for their advantage. David is known for his engaging teaching and speaking style (look out for challenging ideas!) and is a sought after presenter at industry conferences and events. David is the author of The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics. In addition, he contributes to industry publications and blogs. David is a graduate of the University of Minnesota and holds an MBA from the University of St. Thomas. To learn more about his training and advisory services, visit his website DavidHaertzen.com and sign up for his Data and Analytic Insights Newsletter. David can be contacted at david@davidhaertzen.com.

Analytical Puzzle

The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics

2012, Technics Publishing, LLC, Author: David Haertzen

Do you enjoy completing puzzles? Perhaps one of the most challenging (yet rewarding) puzzles is delivering a successful data warehouse. The Analytical Puzzle describes an unbiased, practical, and comprehensive approach to building a data warehouse which will lead to an increased level of business intelligence within your organization. New technologies continuously impact this approach and therefore this book explains how to leverage big data, cloud computing, data warehouse appliances, data mining, predictive analytics, data visualization and mobile devices.

Case studies and numerous examples reinforce concepts and after reading this book you

will be positioned to:

  • Plan and organize a successful data warehouse project
  • Sell the business intelligence effort using a sound business case
  • Determine which data to include in the data warehouse
  • Architect and design a high performance data warehouse
  • Structure the data warehouse for ease of use and navigation
  • Populate the data warehouse with data for informed decision making
  • Successfully use statistics, data mining, descriptive and predictive analytics
  • Save time and money by applying readily available tools
  • Identify your most profitable and least profitable customers
  • Present clear information to decision makers using data visualization for mobile devices
  • Avoid traps and pitfalls, so you can avoid problems and solve the Analytical Puzzle.

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