
Top 3 Data Warehousing Mistakes
Many organizations have built data warehouses successfully, and some have failed. There’s no reason at all for you to learn the hard way. I’m going
Many organizations have built data warehouses successfully, and some have failed. There’s no reason at all for you to learn the hard way. I’m going
A data warehouse offers the benefits of fact-based decision making, and these days nearly everyone agrees on their value. But data warehouse project have an
Dimensional modeling (DM) places and emphasis on the end user’s experience. The goal is to create a data model that performs well and is simple
What are data solutions? At LeapFrogBI we use the term data solution to refer to the portion of the overall analytics system that acquires data
Before you go and start a new analytics project, consider these sobering statistics. As far back as 2005 Gartner began ringing the warning bells. ”More
(This is the final part of a three-part series illuminating the challenges of data analytics and describing a proven solution to the problem.) In part one,
In part one of this series, Measuring the Cost of Doing Business with Insufficient Analytics, I referenced a series of studies conducted over the past five
A recent survey conducted by CrowdFlower and summarized on Forbes found data scientists spend most of their time massaging rather than modeling or mining data for
The ”data lake”, a catchy new buzzword in analytics circles, has many people wondering if they still need a data warehouse. You may have heard
What is a dimensional model? What is a data warehouse? This video introduces dimensional modeling while setting the stage for the series of dimensional modeling training videos to follow.
© 2025 LeapFrogBI. All rights reserved. LeapFrogBI® is a registered trademark of LeapFrogBI LLC.