Why should you work at Tableau?  Data that you can under­stand.  Lets face it every­one wants data but there is much and its so com­pli­cat­ed. So how do you best under­stand it?

Thanks where Tableau comes in.

Sce­nario: you’re in the tech field and want to work for a com­pa­ny that will offer you almost end­less pos­si­bil­i­ties as far as types of projects and the infor­ma­tion cov­ered in those projects. Where do you apply? There are prob­a­bly a few com­pa­nies that would fit that bill depend­ing on your spe­cif­ic inter­pre­ta­tion of “pos­si­bil­i­ties”, “projects” and “infor­ma­tion”, but one name that Media Jobs thinks should def­i­nite­ly be in your list is Tableau.

Tableau for Actionable Insights

Every­thing today is based on data analy­sis, but how do you get through all the data and actu­al­ly under­stand what it all means? Tableau helps peo­ple trans­form their data into action­able insights, which is of course the next great fron­tier and will be the dri­ver of almost every deci­sion made by orga­ni­za­tions in the future. Tableau’s soft­ware claims to let you con­nect and visu­al­ize your data at least 10 times, and up to 100 times, faster than any oth­er exist­ing solu­tion. One of their taglines is “Answer ques­tions as fast as you can think of them”. That’s a pret­ty bold claim, but the com­pa­ny’s his­to­ry to date is back­ing it up strongly.

Tableau soft­ware lets orga­ni­za­tions explore their data sets with lim­it­less visu­al ana­lyt­ics, build dash­boards and per­form ad hoc analy­ses in just a few clicks, share their work with any­one eas­i­ly and quick­ly, and make a pos­i­tive impact on their busi­ness. What kind of orga­ni­za­tions? Any that use data — which today is all of them. Let’s look at three quick exam­ples: stop­ping malar­ia in Africa, improv­ing real estate man­age­ment, and cre­at­ing jobs and eco­nom­ic growth in the U.S.

The inter­na­tion­al non­prof­it PATH, whose goal is sav­ing lives and improv­ing health approached Tableau about help­ing elim­i­nate malar­ia in Zam­bia. Not donate mon­ey — get involved. And they have, with astound­ing results. Although the malar­ia death rate fell by 48% from 2000 to 2015, there were still 438,000 cas­es that year. Tableau got heav­i­ly involved by help­ing to ana­lyze the mobile data being col­lect­ed in the region, and from the rainy sea­son of 2014 to the rainy sea­son of 2015 their visu­al­iza­tions helped reduce the malar­ia cas­es by an amaz­ing 93%.

It’s hard to wrap your head around the amount of data that’s flow­ing out there today, but an exam­ple from JLL, one of the largest real estate man­age­ment firms in the world, helps put some per­spec­tive on the sit­u­a­tion. They’re using data from the Inter­net of Things (IoT) to help clients start mak­ing deci­sions on things like man­ag­ing infra­struc­ture, space uti­liza­tion, and employ­ee expe­ri­ence, and they’ve part­nered with Tableau to visu­al­ize that data. In a proof of con­cept run on a sin­gle 10,000 sq ft space to deter­mine infra­struc­ture needs, the data filled a lap­top a day. A petabyte might be hard to grasp, but any­one can under­stand a lap­top being filled.

The US Government and Tableau

How about tak­ing on the entire econ­o­my and job sit­u­a­tion of the U.S.? The U.S. Com­merce Depart­ment has part­nered with Tableau to help make their pub­lic data more eas­i­ly usable in direct­ing eco­nom­ic and oth­er relat­ed poli­cies to stim­u­late the coun­try’s econ­o­my. The­o­ret­i­cal­ly they should be able to ask a ques­tion like “how many small busi­ness­es with more than 20 employ­ees were start­ed in Cleve­land, OH between 1990 and 2010, and how many of those stayed in busi­ness more than 5 years?” That’s just an exam­ple I came up with, I’m sure theirs are much more poignant.