6 Ways To Get More From Data Science, IT - InformationWeek
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6/15/2015
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Lisa Morgan
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6 Ways To Get More From Data Science, IT

Data scientists and IT push the limits of what's possible -- whether that's operating more efficiently, taking advantage of new opportunities, or innovating. Here are 6 ways businesses can boost their effectiveness.
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(Image: Geralt via Pixabay)

(Image: Geralt via Pixabay)

Businesses limit their potential when their IT departments are relegated to support roles. To be effective, IT and business leaders need to align technology strategy and business strategy and work toward common goals. The same is true for data science teams. They also need to work collaboratively with business leaders to make a strategic impact. However, what the data science team does, like what the IT team does, is not always well understood.

Data scientists, like CIOs, are expected to be business-savvy. Similarly, members of their respective teams should have a grasp of the business case so technology and data can be used for the strategic benefit of the business. Savvy CIOs understand the relationship between business objectives and technology initiatives. A good data scientist also strives to make a positive impact on the business.

However, to be effective, CIOs, data scientists, and their teams require the support of the organization -- including executive champions for important initiatives, adequate funding and tools, open lines of communication, and the latitude to make recommendations and suggestions. After all, there are always other technologies, methodologies, models, algorithms, and potential outcomes to consider.

Business leaders need to understand what technology and data can do. At the same time, they must also be prepared to sometimes hear what they'd rather not hear, including what cannot be accomplished with IT systems and data. Similarly, the organization may be required to make some adjustments for its own good, which may include changes to the organizational structure and reporting lines, as well as new approaches to problem-solving.

Whether a company is able to realize the maximum benefits from its IT and data science teams depends on a number of factors. We present a few of those considerations here.

Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include ... View Full Bio

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LisaMorgan
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LisaMorgan,
User Rank: Moderator
7/1/2015 | 10:34:55 AM
Re: Talents
You're absolutely right!
shakeeb
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shakeeb,
User Rank: Ninja
6/30/2015 | 12:09:57 PM
Talents
It is also important to acquire right talents in IT projects.  In my opinion project manager plays a major role in this.
shakeeb
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shakeeb,
User Rank: Ninja
6/30/2015 | 12:04:32 PM
Re: Focus On Business Impact
It is important to understand the business needs. However it is also important to define the scope well.
shamika
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50%
shamika,
User Rank: Ninja
6/18/2015 | 3:54:11 AM
Focus On Business Impact
In my view I think this is the lacking area. Most of the data analysts don't understand the impact of the data they have. I think it's always better to get the requirement from the business.
LisaMorgan
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LisaMorgan,
User Rank: Moderator
6/17/2015 | 11:29:00 AM
Re: If the premise of the article is correct...
Yes.  There is advancing the state of science and advancing the state of science for a company's benefit (competitive advantage).
SachinEE
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SachinEE,
User Rank: Ninja
6/17/2015 | 2:00:28 AM
Re: If the premise of the article is correct...
Exactly. Data Scientist and Data Analysts are two different words having two different meanings but are used interchangeably, which shouldn't be the case. Now with IOT data scientists are required at an R&D level rather than economic level.
LisaMorgan
50%
50%
LisaMorgan,
User Rank: Moderator
6/16/2015 | 2:32:26 PM
Re: If the premise of the article is correct...
It's interesting.  Titles vary from company to company and so do the requirements for what justifies a title.  People tell me they've hired data scientists to help their organizations discover something or improve their understanding of something but at the end of the day if it's a business, its primary goal is to improve its economic state.  People express that differently, e.g., market expansion, revenue growth, understanding customer behavior, improving customer loyalty, identifying potential products, services or ventures, etc.  The science part helps them do this more effectively and science involves exploration but ultimately there has to be a return on the investment.  I've also had people in academia tell me how thrilled they are not to be bound by such contraints.  :-)
jries921
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jries921,
User Rank: Ninja
6/16/2015 | 12:31:41 PM
If the premise of the article is correct...
...then perhaps we should go back to calling them "data analysts", instead of "data scientists".  The term "scientist" implies that the focus is on understanding, not profit.  Yes, everybody has to make a living, but...

 
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