All Analytics Academy
The Internet of Things Joins the Enterprise

Jun 9 - Jun 23
Join 5 interactive classes & chat with peers
 
Beth Schultz

IDC: Tons of Customer Data Going to Waste

NO RATINGS
View Comments: Newest First | Oldest First | Threaded View
BethSchultz
User Rank
Blogger
Re: Industry experts above data science
BethSchultz   12/23/2013 9:14:47 AM
NO RATINGS
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
User Rank
Master Analyst
Re: Industry experts above data science
Musa   12/22/2013 2:04:55 PM
NO RATINGS
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
User Rank
Blogger
Re: Industry experts above data science
BethSchultz   12/21/2013 1:43:07 PM
NO RATINGS
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
User Rank
Blogger
Re: Visualizations and Data Science makes it easy!
BethSchultz   12/21/2013 1:41:28 PM
NO RATINGS
Well said, Musa.

tomsg
User Rank
Prospector
Re: Data from multiple sources
tomsg   12/20/2013 10:00:56 AM
NO RATINGS
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
User Rank
Master Analyst
Visualizations and Data Science makes it easy!
Musa   12/20/2013 12:25:42 AM
NO RATINGS
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
User Rank
Master Analyst
Industry experts above data science
Musa   12/20/2013 12:13:20 AM
NO RATINGS
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
User Rank
Blogger
Re: Data from multiple sources
BethSchultz   12/19/2013 8:18:45 PM
NO RATINGS
... 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
User Rank
Data Doctor
Data from multiple sources
SethBreedlove   12/19/2013 6:06:30 PM
NO RATINGS
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. 

Information Resources
More Blogs from Beth Schultz
It's been a fun three years, but now it's time to say goodbye.
Take inspiration from Christopher Columbus as you pursue your analytical journeys.
The "big" in big data is no reflection of the size of the organization embracing its potential.
Whether you're an undergrad, a graduate student, or an analytics professional already, the same best-practices advice lives large.
Satellite data can help solve puzzles, from the lofty to the mundane.
Radio Show
Radio Shows
UPCOMING
James M. Connolly
Finding Answers Through Prescriptive Analytics


7/21/2015   REGISTER   0
UPCOMING
James M. Connolly
Health Analytics: Find Data Beyond the Hospital Doors


7/28/2015   REGISTER   0
ARCHIVE
James M. Connolly
Visualization: How to Bring Data to Life


6/22/2015  LISTEN   55
ARCHIVE
James M. Connolly
Learn Why Analytics Are at Home in the Cloud


6/15/2015  LISTEN   26
ARCHIVE
James M. Connolly
Analytics: Your Defense Against Cyber Threats


5/27/2015  LISTEN   60
ARCHIVE
James M. Connolly
Big Data & Big Pharma: How Analytics Might Save Your Life


5/19/2015  LISTEN   37
ARCHIVE
James M. Connolly
Live Interviews From SAS Global Forum


4/28/2015  LISTEN   11
ARCHIVE
James M. Connolly
How to Hire Great Analytics Talent


4/23/2015  LISTEN   51
ARCHIVE
James M. Connolly
Sports Analytics Mean Fun and Business


3/24/2015  LISTEN   3
ARCHIVE
James M. Connolly
Secure Your Big Data in the Cloud


2/26/2015  LISTEN   114
ARCHIVE
James M. Connolly
Make It Big As a Data Scientist in 2015


2/11/2015  LISTEN   106
ARCHIVE
James M. Connolly
Big Data, Decisions & the Simulated Experience


2/3/2015  LISTEN   87
Information Resources
Quick Poll
Quick Poll
Infographic
Infographic
It Pays to Keep Insurance Fraud in Check
While 97% of insurers say that insurance fraud has increased or remained the same in the past two years, most of those companies report benefits from anti-fraud technology in limiting the impact of fraud, including higher quality referrals, the ability to uncover organized fraud, and improve efficiency for investigators.
Follow us on Twitter
Follow us on Twitter
Like us on Facebook
Like us on Facebook
About Us  |  Contact Us  |  Help  |  Register  |  Twitter  |  Facebook  |  RSS