Case Study: New Reporting Capabilities Help Paragon Close More Business
Paragon Insurance Holdings is a managing general agency that provides specialty insurance for specific industries, such as landscape, brewery and timber, among others. With a
Exploring the Power BI Mobile App
The Power BI Mobile app is an overlooked piece of the Power BI ecosystem. A shame, because it delivers quite a bit of value for
Case Study: Operational Productivity Reporting Points to Significant Revenue Opportunity for MedEx
MedEx, a leading provider of durable medical equipment and health insurance billing services, is always on the lookout for ways to improve outcomes for the
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.
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