Football pool pick Life insurance quote Abilify Pain Relief Life Stock Propecia online Viagra uk Consumer credit debt consolidation Spirit air Buy diazepam Car insurance quote Philadelphia Tramadol ultram Super bowl xliii Accutane Insurance rates Allegra Xanax generic blue Credit counseling Airline Superbowl pick Home Best online casino site HeartBurn Relief Debt consolidation company Online black jack game Medical assistants Safety Tramadol hcl Unsecured personal loan Get adipex Best poker software Florida auto insurance 3 in 1 credit report Payday loans Super bowl pool Domain names Airlines Oncology Viagra cialis Cheap acomplia Toyota Best anti virus spyware For Cosmetology Stock the Buy zovirax Medical insurance Online slot Pharmacies Cialis Dentist Spyware free downloads Coupons Day care David Universities Buying viagra online Debt help 

Is Excel a commodity, with no competitive advantage? Only if you want it to. Why? Because a vast majority of Excel users:

  • Have the data analysis skills of a toddler (or less);
  • Can’t go beyond Excel Chart defaults;
  • Functions? They know how to click the SUM() button;
  • Don’t know what a dynamic chart is;
  • Think pivot tables are too complex;
  • VBA? No way!

I believe you can squeeze some competitive advantage from Excel if you avoid some basic mistakes everyone else makes. Here is a very short list (some generic, some chart-specific).

#1. Assuming that Excel Can Do It.

Because a spreadsheet is such a loose environment, people often assume that all things numeric can be done using Excel and that no specific skills are needed. Using Excel as a database tool is an obvious example. If you can’t stop singing Ode to Joy every time you see one million rows in Excel 2007 that’s a clear sign that you are on the wrong track.

#2. Assuming that Excel Can’t Do It.

Most people aren’t aware of how powerful Excel is and use it almost as a pocket calculator. If you routinely have to manage quantitative data, learning a little more Excel always pays off. As an example, you can use it to create complex executive dashboards or, at least, as a dashboard prototyping tool.

#3. Not Having a Go-To Person.

Not everyone needs to be an Excel expert, but having someone that understands the business and proactively tries  to find better ways to perform common (or not so common) tasks should be a requirement.

#4. The Excel Islands.

If you have a data source you can connect your Excel sheet to, do it. Don’t make the mistake of copy / pasting the data into your sheet. That’s a bad practice and it can undermine your organization’s entire information system.

If you connect your spreadsheet to the data source (via ODBC, for example) you are ensuring the integrity of your data and minimizing maintenance costs. If you are creating a new table, use a simple database tool like Access. And if you really, really, need to use Excel, make sure you create a table that can easily be exported and used by a different tool.

#5. The Uncharted Archipelago of Excel Workbooks.

Search for “book*.xls” in your hard drive. How many do you find? Get rid of all those useless files now.

#6. Bypassing IT.

We all have our little fights with IT, but we must understand their role and the reasons behind their actions sometimes make sense… Excel users often lack knowledge to understand data structures, data access, documentation, security (IT 101, basically). If your IT don’t want to conquer the world and actually helps users, you should work hand in hand with them.

#7. Not Using VBA.

I’m sorry to break this to you, but if you spend your time analyzing data and Excel is your primary tool, then you must use VBA. I’m not telling you should be a programmer, far from it. But you should be able to record a macro and make some simple tweaks. There are many repetitive tasks that can easily done using three lines of code.

#8. Excel is the only charting tool.

There are no neutral tools. They force upon you a certain way of doing things that you may not be comfortable with (or you shouldn’t). Excel’s Chart Wizard is one of the stupidest wizards I’ve ever met. If you need to spend time removing defaults there is something wrong with the defaults. Excel charts emphasize:

  • Stupid Defaults versus Cleaner Formatting Options
  • Static versus Dynamic
  • Marketing versus Insights
  • Disposable versus Reusable
  • One versus Multiple
  • Large versus Small
  • Island versus Continent
  • Presentation versus Discovery

I’ll detail this in a future post but, like PowerPoint, Excel charts do have their own cognitive style. If you want to do things differently you can, but you are choosing a path of endless pain. So, give some users the option to use a different charting tool or, as a bare minimum, use a better wizard.

#9. Forgetting the 3R’s.

Reduce, reuse, recycle. Yes, I’m talking about Excel charts. How many disposable charts are cluttering your hard disk? Go green when creating your charts:

  • Charts are typically much larger than needed, so you can safely reduce their size;
  • When you create a chart make sure that it can be reused when the data updates;
  • A chart for Market A is probably very similar to a chart for Market B. By recycling the chart from market to market you don’t need do create new charts and pollute your hard drive.

#10. Not Making Things To Work Together

Lists like this one are useless, unless you know how the basic system works. Try to see the big picture and it will be much easier to understand where each piece belongs to:

  • If a function needs a range address, you will know that another function can provide the address (first step to create dynamic charts);
  • If you are repeating the same stupid task, you’ll find a way to automate it;
  • etc.

Bottom line: make sure you know what you should use Excel for, find inefficiencies and give power users the option to use specialized tools.

  • Share/Save/Bookmark

{ 6 comments }

Charts: Monthly Unemployment Rates by State 1976-2009

Here are two ways to display a relatively large dataset, montly unemployment rates by state since 1976. The first one is perfect to see the overall patterns, the range from the lowest to the highest, the outliers and the slopes. An interactive version would allow the user to highlight specific series.

A small-multiple version allows the [...]

Read the full article →

Just Another Stupid Bar Chart

Human creativity is virtually limitless. But:

You don’t vary color by data point.
You don’t force the eyes to a pendular movement if you can avoid it.
You don’t use a legend when you can use axis labels.
You can’t have a residual category that large.

Bloggers don’t seem to learn, even with a good teacher.
(Bar chart published in the ReadWriteWeb)

Read the full article →

Will you Help Me Write a Data Visualization E-Book (and Win a Free Copy)?

I’m writing an e-book, kind of “101 Data Visualization Questions You Were Afraid to Ask”, and I’d really appreciate your help. You just have to submit your data visualization question(s) using the contact form on the right (feel free to add additional suggestions or comments). The best 101 messages win a free copy of the [...]

Read the full article →

Better Charts for Business: When Business Doesn’t Care

Most managers don’t care about a better visualization of business data. As a reader puts it:
Short of locking management in a room with Tufte and Few, how do I sell management on the value of seeing things differently?
Instead of trying to sell, let’s see why the aren’t buying. Here are some reasons.
Good Charts Are For [...]

Read the full article →

Inconsequential Foreplay

Nathan discusses this chart. He says:
I know a lot of you don’t like bubbles in your viz, but this one works for me.
Jon Peltier, in the comments, argues that:
Sets of bars would have been more effective.
Tim adds the definitive argument:
“Always using bar charts is like always using missionary position. It might be more practical, but [...]

Read the full article →

Excel Charts: If It Isn’t Broken…

I humbly accept our business visualization reality: 90% of all business charts are created in Excel and most business users are unwilling to learn yet another application and go through all sorts of hassles (data management, compatibility issues, file sharing) just because a different product offers a bigger chart gallery and some obscure defaults no [...]

Read the full article →

Here’s How the Unemployment Rate Sounds Like

Do you want to know how the unemployment rate sounds like? Copy this string:
65536,32768,16384,16384,16384,4096,
4096,2048,1024,1024,256,128,64,16,4,2
and paste it into here (right-click, past).
Now the Dow Jones Index:
2,4,4,2,2,32,32,16,64,1024,2048,4096,
16384,65536,32768,16384
All together now:
65538,32772,16388,16386,16386,
4128,4128,2064,1088,1024,2304,
4224,16448,65552,32772,16386
This is fun.
(Big gloomy smile.)

Read the full article →

God and Moses? The Differences Between Edward Tufte and Stephen Few

I have a confession to make: my past is paved with chart-making sins, including some capital ones (yes, 3D pie charts, too). But years ago I saw the light in Tufte’s The Visual Display of Quantitative Information and since then I’ve been avoiding eye-candy temptations, and now I do my best to pursuit the [...]

Read the full article →

Sub-Prime Charts: Should Data Visualization Be Boring?

In a recent article for the New York Times, Paul Krugman, the 2008 winner of the Nobel Prize in Economics, writes:
“The banking industry that emerged from that collapse [the Great Depression] was tightly regulated, far less colorful than it had been before the Depression, and far less lucrative for those who ran it. Banking became [...]

Read the full article →

How a Bad Excel Dashboard Made me a More Skilled Excel User

Some years ago, as part of my (then) new job, I had to maintain a monthly updated Excel dashboard. It was a maintenance hell, I hated it, but I couldn’t change it because of my poor Excel skills.
“This is stupid, there must be a better way”, I kept saying to myself.
So, I searched, and searched, [...]

Read the full article →