Free Webinar—Analyzing Your Data With Excel:
Simple Steps for Actionable Results

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Recorded August 22nd, 2013

Do what you can with what you have where you are.
—THEODORE ROOSEVELT
Cowboy, soldier, historian and
26th President of the U.S.

Synopsis
Answer everyday business questions like an analyst with Microsoft Excel. This webinar is based on a selected set of techniques from The 7C's of Data Analysis, as covered in our book, The Accidental Analyst: Show Your Data Who's Boss. An abbreviated case study will be used to demonstrate common techniques that can start you on the course to analyzing data with Microsoft Excel 2007, 2010 or 2013.

This presentation is approximately 1 hour and 15 minutes in length.

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Tableau Online Total Cost of Ownership Calculator

Stack_Money_Flickr_artist_in_Doing_NothingWith our new cost of ownership calculator, you can estimate the number of Tableau Desktop, Tableau Desktop Pro, Tableau Online and Tableau Reader (free!) licenses to obtain for your specific needs. You can even calculate one-year and three-year estimates of cost to have Tableau at your organization, purchase consulting services and train your team.

To illustrate, the 3 Year Total Cost of Ownership, consulting and training inclusive, for a department of 30 is around $45,000. A larger deployment to a business unit with 500 people would total approximately $696,000. A 3 person company could get by for just $12,500. Start using our calculator now and make a smarter choice about your analytic investment!

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Thoughts on “Business Analytics Software Still Has Skeptics”

Synopsis of the article and summary chart from Pete Barlas at Investor's Business Daily
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Many companies still view the promise of analytics software as a glass half-empty.

One of the strongest sectors in enterprise software, business analytics has many doubters among companies skeptical it truly is helping improve the top and bottom lines.

So found a survey released last month by accounting and professional services firm Deloitte Touche Tohmatsu.

"What we are seeing in the analytics front is a real skepticism among business leaders about whether this works and how it can make a difference," said Tim Phillipps, global leader of Deloitte's analytics practice.

The findings, he admits, were a surprise.

Here is Stephen’s comment on this article:

I have worked in analytics for many years at over 100 companies (employee, consultant and leading teams.)  It has always been easier to lean on costs savings as a clear measure of success with analytics and data warehouse investments. 

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Free Webinar—Quick & dirty analysis with Tableau
in 13 lucky steps!

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July 31st, 2013, Noon Pacific, 3 PM Eastern, 8 PM London
 
 
So much data, so little time!
–Stephen McDaniel
Co-founder of Freakalytics

 
 
Synopsis
Let’s face it: in the daily world of work, you often are asked to provide an answer to a new problem in less than a day. Of course, your boss tends to forget about the other three project deadlines you are currently facing, so you really have only 10 or 20 minutes to squeeze in a quick and dirty analysis.

If this sounds familiar to you, this webinar will walk you through the thirteen flexible steps that can take you from being clueless to looking smart with Tableau in just a few minutes. Hopefully you’ll be able to obtain enough information to come up with ideas for an e-mail update or talking points for the unexpected meeting that is looming large over your day, showing your boss and colleagues that you can deliver great results in time to be useful.

So, if you’re already a user of Tableau, this webinar will guide you in the critical path of many analyses in Tableau. If you are totally new to Tableau, you can see the possibilities of what you can accomplish in a short amount of time, once you get started and practice these techniques.
 
 
A preview of the first few steps

1 What question will you examine?

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Okay, in reality this step might take hours or even days! But let’s assume you have your question, and if it is complex, break it down into several, simpler questions.

2 Grab the closest, readily available dataset

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