Why every company should understand and employ data warehouse automation
There are two kinds of companies, those that get analytics right, and those that fail. Failure may not come overnight, but in a competitive marketplace
10 Steps to Business Intelligence Success
A Recipe for Transforming Data Into Insights that Improve Business Outcomes The failure rate for business intelligence projects is high. Exactly how high is up
How Most Companies Incorrectly Use Tableau and Similar Tools
For years companies have been buying reporting software, such as Cognos or Business Objects, hoping to solve their reporting challenges with a single purchase. Today
Can Reporting Tools Alone Solve Your Reporting Challenges?
Reporting tools have become pretty good, and companies buy them with the expectation that doing so will solve their reporting challenges. But is this really
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
Why Data Warehouse Projects are a Bad Idea
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
Bridge Tables
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
An Introduction to Data Solutions
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
Why Analytics Projects are a Mistake
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
The Key to Analytics That Everyone Should Understand
(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,