New Data, Same Old Dumb Bosses: 3 Lessons - InformationWeek

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New Data, Same Old Dumb Bosses: 3 Lessons
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tzubair
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tzubair,
User Rank: Ninja
12/31/2014 | 10:46:16 AM
Re: Data Washing
"But much more often people restrict data to protect their role, or to avoid all risk -- reasons that aren't good enough given the opportunity that comes from sharing.  "

@Chris: I completely agree with you that the benefits are far greater than the risks. However, to counter the risk, we must ensure that adequate training is given to all people handling the data so that they are aware of the risk and the value of ensuring data protection.
ChrisMurphy
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ChrisMurphy,
User Rank: Author
12/31/2014 | 9:24:45 AM
Re: Data Washing
It's true there are legit, regulatory reasons to restrict data sharing, @tzubair. But much more often people restrict data to protect their role, or to avoid all risk -- reasons that aren't good enough given the opportunity that comes from sharing.  
impactnow
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impactnow,
User Rank: Author
12/30/2014 | 3:09:15 PM
Re: Always amusing

Unfortunately Data manipulation is a worldwide problem and not just a problem in corporations and the private sectors it can also be an issue with government data as well. All data has issues its how these issues are interpreted and handled that determines the value of the data and the conclusions made from it.

GrumpyITGuy
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GrumpyITGuy,
User Rank: Strategist
12/30/2014 | 2:36:53 PM
Re: Always amusing
Yes. It is true. Only American-owned companies act dumb. None of us have ever seen a multinational corporation that we have worked for act in any manner but highly smart. 

And then, I woke up. 

;)
tzubair
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tzubair,
User Rank: Ninja
12/30/2014 | 2:09:58 PM
Re: Big data now folded, spindled, and mutilated
"Big data can lead to big mistakes if the wrong people use it either maliciously or even mistakenly. Bosses and employees both need to be aware of how data can be used to support just about anything."

@kstarton: I think this is exactly why one has to be an expert in data sciences and not just know how to use the tools for analyzing data. The outputs can be flawed but if you know how exactly it was calculated you'd be able to identify the flaws and make a wiser decision compared to the one that the system offered you.
tzubair
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tzubair,
User Rank: Ninja
12/30/2014 | 2:05:51 PM
Re: Data Washing
"Data washing gets easier when only select people have access to the data in discussion, or when groups are working off multiple versions of the same data"

@Chris: But then companies restrict the access to data to employees on purpose to ensure that people only see data that's relevant to them. Of course this is done to reduce the risk of data being misused by people who're not authorized to do so.
Ariella
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Ariella,
User Rank: Author
12/29/2014 | 4:58:54 PM
Re: Always amusing
@asksqn Is there less of that in corporations based in other parts of the world?
impactnow
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impactnow,
User Rank: Author
12/29/2014 | 4:46:39 PM
Data Manipulation

Very true and very sad. Data washing is becoming the trend for so many when big data is the must have. Unfortunately it just harms the value of data profession. When analytics are used to make decisions that involve people like performance reports and surveys in restaurants employees always find a way to game the system. A great analytics system is one that cannot be easily manipulated for someone's agenda unfortunately I have found that yet.

asksqn
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asksqn,
User Rank: Ninja
12/29/2014 | 4:45:35 PM
Always amusing
LOL I'm going to surmise that grumpy IT guy works for an American corporation since his analysis of his company has all the earmarks of the standard American all fluff/puff/smoke/mirrors crap of doing business. 
kstaron
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kstaron,
User Rank: Ninja
12/29/2014 | 11:36:34 AM
Big data now folded, spindled, and mutilated
There are white lies, damnable lies and statistics. Data can be mauled, folded, and mutilated into almost any shape. And people that don't understand things like correlation and causation and going to follow mutilated data off the end of a cliff for all the good it does them. Big data can lead to big mistakes if the wrong people use it either maliciously or even mistakenly. Bosses and employees both need to be aware of how data can be used to support just about anything.
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