Your Data Is Biased, Here's Why - InformationWeek

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Data Management // Big Data Analytics
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10/11/2017
07:00 AM
Lisa Morgan
Lisa Morgan
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Your Data Is Biased, Here's Why

Biased data can lead to bad decisions. Most business leaders aren't aware of the problem just yet, but they need to be because they're ultimately responsible.
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Shervin Khodabandeh
Shervin Khodabandeh

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Purtier
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Purtier,
User Rank: Apprentice
10/28/2017 | 4:14:31 AM
Data Manipulation
Data are supposed to be manipulated, and smart people win. It is just as simple as that. 
LisaMorgan
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LisaMorgan,
User Rank: Moderator
10/25/2017 | 1:02:18 PM
Re: Effective Leadership & Disclosure to Reduce Biased Data
Excellent observations, @mjohnson681.  Apparently we used to work for the same company with the same middle manager.  :)

It's clear that SO much data is so skewed.  Even well-intentioned people tend to cherry-pick information because it dovetails with their POV better or their original hypothesis was off-base but there's so much invested in it already, better see it through.

I've written quite a bit about bias because I think it's such a huge issue and one that doesn't get enough attention.
mjohnson681
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mjohnson681,
User Rank: Apprentice
10/14/2017 | 2:57:31 PM
Effective Leadership & Disclosure to Reduce Biased Data
Great leaders of the 21st centry need to give up the chain-of-command mentality if they are going to be successful.  So many times in business, key information is filtered out by middle management.  The filters or spins can be to tailor the information for the audience's preferences.  Other filters or spins can be placed on data to hide reality, preserve power structures, political palay, or other unethical omissions or biases in the data.  When it comes down to it, the truth are in the trenches, where the people are working on the front line.  With today's technology, there should be no excuse for being able to provide executives or those charged with governance (e.g. Boards of Directors) effective, unbiased information along with full disclosure of assumptions, etimates, etc.  Another interesting topic is the level of bias in the government's key economic numbers (e.g. unemployment, inflaction, GDP, etc.).  Unlike publically traded companies, these powerful economic indicators that drive the broader stock markets do not require full disclosure of significant estimates or to be audited by an independent party.  If one wanted to manipulate equity markets or management decisions, biased data is the perfect vehicle.
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