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Published Now and Again for Business Users of Microsoft Excel.    

Excel Makes a GREAT BI!

Charley Kyd

Wednesday, December 20, 2006


If you like this newsletter, please forward it to other Excel users.

Excel makes a great -- and very low-cost -- Business Intelligence system.

This is the theme of the large new Enterprise Excel section of ExcelUser, which I've been working on for the past two months.

What a lot of work! But I think you'll be interested in the results.
 

Excel as a Business Intelligence Program

I'll be the first to admit that ordinary Excel is no kind of BI. But when you live-link Excel formulas to multidimensional ("OLAP") data, you turn Excel into a powerful Business Intelligence system.

This figure illustrates the idea. Enterprise Excel is my name for this structure.

Strictly speaking, Enterprise Excel offers more potential than a mere BI does. But "BI" is a convenient way to summarize its capabilities.

What the figure doesn't illustrate is how inexpensive this type of system can be. The single-user version probably is the only BI that small organizations will be able to afford. And it's a tool that large organizations can buy out of petty cash to see if it would be useful in a more extensive application.

To give you a better idea of how Excel works with an Excel-friendly OLAP, I've created several videos. You can find them at: See Enterprise Excel in Action.
 

New Ideas

To discuss these ideas more effectively, I've carefully defined Business Intelligence and invented several other terms:

Business Intelligence (BI) is the collection of tools and techniques used to quickly gather, consolidate, analyze, display, and refine data that managers need to improve business performance.

This is a broader definition than you'll likely find elsewhere. But when I write that Excel makes a great BI, I wanted to make sure that my definition was broad enough to be relevant.

Excel-friendly OLAP is a term that I invented several years ago. Basically, it's any OLAP (multidimensional) database product that provides a good number of spreadsheet formulas that read and write OLAP data.

In most companies, most jackleg data should be maintained in an OLAP database, not in spreadsheets. This simplifies its use and maintenance, offers one version of the truth to all Excel users, reduces errors, and makes more useful data available to more users.
 

Accordion Reports

Even if you have no interest in doing Business Intelligence with Excel, you'll probably be interested in Create an Accordion Report In Excel, Using OLAP Data

Budget reports are a common example. A marketing department might have 20 accounts in its report; a manufacturing department might have 40; a finance department might have 30. As you generate each report, its length expands and contracts like an accordion.

Generally, these reports take a lot of time to create in Excel because of all the spreadsheet work involved.

No more. The article explains how to create automatic accordion reports using only formulas in Excel. No VBA is required.
 

Strategic Planning, External Data, and Excel

For many companies, strategic planning is an occasional exercise that produces an impressive bound document, which gathers dust on the shelf. If your company has this problem, you might consider monthly strategic reporting.

Take your SWOT (strengths, weaknesses, opportunities, threats) analysis, for example. Much of the analysis is based on cold, hard numbers...external data from sources that are updated periodically. In most companies, this jackleg data probably is stored in a forgotten spreadsheet saved in some dusty corner of an analyst's hard drive.

Wouldn't it make more sense to get the updates as they're available and to save that data in an Enterprise Excel system? Doing so could give many Excel users easy access to the data. This would give them the opportunity to compare internal performance with current external measures. And that continual analytical reporting would breathe life back into your moribund strategic plan.

Just a thought...
 

Enough for now.

More later,

Charley

 

 


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