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Beth Schultz

IDC: Tons of Customer Data Going to Waste

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BethSchultz
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Re: Industry experts above data science
BethSchultz   12/23/2013 9:14:47 AM
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Musa, right -- domain expertise is not sufficient. But I do believe as analysts and data scientists mature in their careers and find their niche, that becoming a domain expert is a wise move.

Musa
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Master Analyst
Re: Industry experts above data science
Musa   12/22/2013 2:04:55 PM
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I think becoming domain experts for a particular industry gives direction to data science. It would nulify some assumptions made earlier by the data analysts and provide them with good direction for their techniques and research. This way they can minimize wastage of time and effort on invalid direction and be more productive. However i believe domain expertise alone is definately not sufficient.

BethSchultz
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Re: Industry experts above data science
BethSchultz   12/21/2013 1:43:07 PM
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That's an interesting point. Do you think analysts/data scientists need to become domain experts so they can provide this view or does better partnership suffice?

 

BethSchultz
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Re: Visualizations and Data Science makes it easy!
BethSchultz   12/21/2013 1:41:28 PM
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Well said, Musa.

tomsg
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Prospector
Re: Data from multiple sources
tomsg   12/20/2013 10:00:56 AM
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I agree. It costs money to do something with the data, so you would really like to concentrate on the more useful or valuable data. Not knowing how good or valuable the data is can lead to doing nothing.

Musa
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Master Analyst
Visualizations and Data Science makes it easy!
Musa   12/20/2013 12:25:42 AM
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When dealing with multi-dimensional data sets, having many attributes coming from different data sources; there are many problems that we deal with. A few of them are integrating the multiple data sets from different data sources, missing data due to numerous issues and sometimes inconsistent data. These issues put the industry experts who are responsible for making the analysis into great problems. It is very difficult for them to percieve the trends within the high dimensional data sets. Efficient Visualizations and techniques of data science are the only thing that can make this tedious task easy,efficient and very accurate. 

Musa
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Master Analyst
Industry experts above data science
Musa   12/20/2013 12:13:20 AM
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What i have observed with business intelligence organisations that deal with international clients and big data sets is that they base their decisions of wheather an attribute is important or garbage solely on the perception of an industry expert instead of exploring the attributes through mature statistical and data science practices. It would be a very good practice if the industry expert would rest his views and build up a story around what the data actually shows. Maybe sometimes the industry expert would come to know of an attribute that he thought was not important but later shows to have a great impact on the target attribute through some linear or non-linear relationship.

BethSchultz
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Re: Data from multiple sources
BethSchultz   12/19/2013 8:18:45 PM
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... or look at it on your laptop and then go to the store and purchase. It's a tall order retailers are facing, that's for sure. They'll get the multichannel view eventually, though -- and then won't we all be up in arms over how much control they have over us as shoppers?!

SethBreedlove
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Data Doctor
Data from multiple sources
SethBreedlove   12/19/2013 6:06:30 PM
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I think determining which data is important is the difficult task.  Also, as mentioned, customer data is coming from so many different directions. 

For example, I might shop for something on my smart phone, later look at it again and then make the actual purchase on my laptop.  Marketers are looking at three distinct data sets, without probably realizing that it is coming from the same person. 

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