What are some common mistakes that business intelligence managers and architects make when planning and designing a business intelligence system? BI managers and architects generally do […]
Here’s some good news for Economics majors. According to today’s Wall Street Journal: In-House Economists are Hot Again One of the reasons they are hot again […]
I teach a graduate course on data warehousing at Northeastern University in Boston. Unlike the people I teach at clients’ sites or at conferences such as […]
I recently experienced a data-quality problem first-hand while on the phone with the company that books my family a condo for our annual ski vacation. They […]
Consistent, correct data. That doesn’t sound too complicated, does it? But actually, one of the most daunting challenges facing CFOs and their staffs today is […]
(This is part of our ongoing Series of Unfortunate Data Warehousing and Business Intelligence Events. Click for the complete series, so far.) If data warehouses could […]
Data quality management needs to be an integral part of the design and planning of your corporate performance management (CPM), business intelligence (BI) or data warehouse […]
Doctors say that “prevention is the best medicine.” This holds true for data quality management, too. The sooner you identify potential problems the sooner you can […]
A couple of IT managers recently approached me with a thorny issue. The key business sponsor for their data warehousing effort asked them if they should […]
How trustworthy is the data that you provide? Not very, if it has quality problems. Data quality is one of the biggest roadblocks to trusting corporate […]
Plenty of business intelligence (BI) or data warehouse projects have been blindsided by complications related to data quality. Sometimes these issues aren’t apparent until business users […]
You’re involved in a business intelligence project, making great progress creating reports and cubes for analysis for your business users. They’re excited about what they see […]
Data standards ensure the consistency, accuracy, integrity and validity that are critical to your success. Data is not usually clean and consistent, especially when gathered […]