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 the case? Are they really up to the job? This is a conversation we have frequently with clients and we hope it may benefit you.
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
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,
Five Reasons Your Data Analyst Can’t Analyze
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
Measuring the Cost of Doing Business With Insufficient Analytics
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
What you should know before you go sailing on the data lake
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