Access "Split personalities put data scientists in play"
This article is part of the Issue 5 May 2012 issue of The biggest obstacles of data science
Data scientists are a new type of analyst: part data engineer, part statistician and part experienced business analyst. And they’re in high demand: Companies are combing through resumes and job websites, interviewing recent university grads and poaching from their competitors in an effort to bring these new talents into their organizations. Of course, we’ve had statistical analysts—or “quants”—in our organizations for years. They’re often doctorate-bearing, white-jacketed folks who spend their days in the rarified towers of the back office. Unfortunately, while they are great at analyzing data, they are not always the best at explaining their findings to corporate executives and lower-level business workers in understandable terms. In many cases, it is nearly impossible to get clear answers from them to questions such as the following: I see the trends, but why are they important and what should I do to change them? What impact will changing customers’ buying behaviors have on our revenues? How do we change the causes of negative effects to produce more ... Access >>>
Premium Content for Free.
BI benefits in reach for SMBs, but some effort required
by Lyndsay Wise
Successful BI for small and midsize businesses isn’t just about implementing software. They have work to do before deployments to make sure systems will be readily adopted and produce valid results.
- BI benefits in reach for SMBs, but some effort required by Lyndsay Wise
Faster data delivery livens BI performance, user satisfaction
by Alan Earls
With business users looking to get their hands on business intelligence data more quickly, making BI systems more flexible and responsive is becoming a priority in many organizations.
Split personalities put data scientists in play
by Claudia Imhoff and Colin White
These specialists are in high demand these days, but who are they really? Scientists? Analysts? Statisticians? In fact, they are each of these and more.
- Faster data delivery livens BI performance, user satisfaction by Alan Earls
More Premium Content Accessible For Free
Big data buying decisions call for open eyes and minds
Big data management and analytics programs can provide competitive advantages and help drive increased revenue, but getting started on them -- and ...
Big data deployments: Maximizing their value, minimizing mistakes
Big data projects are becoming more common as companies seeking a competitive edge look to take advantage of an increasing variety of information ...
Operational analytics: Delivering insights on the fly
As organizations recognize the benefits of providing their employees with access to real-time data, operational analytics is gaining acceptance in ...