January 21, 2004
Measure a store's performance by comparing it to other stores in the database.
February 2004
Because forecasting depends on the needs of your business, creating a forecasting cube often requires some artistic finesse. Here are some techniques you can use to solve some common cube-design problems.
January 2004
If you’ve ever tried to connect users to Analysis Services over HTTP, you know you can’t use the default security protocol. Fortunately, Analysis Services lets you choose from three security options.
January 2004
Discover the solution to the previous MDX puzzle.
January 2004
Challenge yourself with this month's puzzle.
November 2003
Microsoft provides an example of how to create drillthrough support for Excel’s PivotTable components, but the example can be hard to follow. Here’s an explanation to help you use the example better.
November 2003
Learn how to narrow a list to show only the items that are relevant in a given situation.
November 2003
Learn a way to put a number into context to determine its relevance.
October 2003
Dimension writeback is an essential function of budgeting and planning applications. You can create your own cube to learn how dimension writeback works in SQL Server 2000 Enterprise and Developer editions.
October 2003
Discover a query that returns the top 10 non-beer products that were purchased with beer in the FoodMart 2000 Sales cube.
October 2003
Try your hand at writing a query that returns all the FoodMart 2000 Sales cube customers whose total Store Sales equal at least 5 percent of the sales to the customer who has the highest total Store Sales.
September 2003
OLAP cubes are notorious for having lots of empty (or null) cells. Including these empty cells in your result sets can bog down your analysis applications. But you can use these tricks to eliminate empties.
September 2003
Here's a query that uses the TOPCOUNT() function to rank customers who aren't single and female.
September 2003
Use the FoodMart 2000 Sales cube to find which 10 non-beer products customers purchased most frequently in the same transaction with beer products.
August 2003
Member properties let you store additional information about dimension members, but they can do much more. Are you getting all you can from your member properties? Here are 10 ways to pump up member-property effectiveness.
August 2003
Learn how to create two calculated members that solve July's puzzle.
August 2003
Can you find the top 10 single female customers without listing the other three types of customer--single male, married male, and married female?
July 2003
Working with any OLAP solution can help you better understand the technology, but using data that has personal meaning can help you learn even more about OLAP. Here's a practice solution that uses data you'll care about--your personal finances.
July 2003
This VBA macro steps through Excel and reformats the data in a way that makes it easy to import into Access so that you can use it to build a cube.
July 2003
Challenge yourself to create an MDX query that finds the most recent nonzero sales amount for each Los Angeles customer for each quarter of 1997.
Add these Headlines to your Website
