| The Data Explorer | December 2008 |
Many of you have contacted us about the status of Data Desk version 7. The development process has been quite a long journey with several dead-ends encountered along the way—but the resulting product will be well worth the wait.
What's with Data Desk Version 7?
Data Desk is a wonderful tool for finding patterns in data. In some situations you may want to look for patterns in summarized data and then drill down into the raw data to see the details for a specifically defined subset. Data Desk offers a variety of graphical and subsetting tools that can be used to perform such an analysis on data from any industry or experiment. Our consulting staff used a number of these tools for a challenging analysis of health care claims data, and you can use the same technique to drill down into your own data.
The Graphical Drilldown
When Glenn Kutschera was hired to launch a new product for a medical device company last spring, he found himself with lots of sales data but no way to get the market information he needed.
Custom Data Desk Tool Paves the Way to Product Launch
We often analyze data because we hope to understand the world better. Statistical thinking guides (or should guide) our quest. But to think statistically, we must engage in habits of mind that are simply not natural for humans.
Francis Bacon and Wise Data Analysis
The test of a missile or missile interceptor ends with aerial fallout of missile wreckage in particles of all sizes, and Matt Newsome, one of the engineers testing out the Aircraft Vulnerability Model, uses Data Desk to get a picture of where and how the pieces might fall.
Making the Skies Friendlier to Fly
This year we formalized our longstanding working relationship with fundraising analytics guru Peter B. Wylie. It is now a partnership. Because Peter has many clients and friends in higher education and the nonprofit sector, we have found ourselves working with him on new questions with customers in this currently emerging field. Together we help them get actionable information from mountains of data on potential donors, and sometimes we teach them how to continue data mining on their own.
From Unexamined Data to Profitable Information