- by arroyoh, Prospector
- 1/27/2013 6:34:40 PM
In fact, a good econometrist immerse in business management may have a great deal of the skills needed for Big Data analysis. I have done kind of this while working in Business Intelligence for a big oil corporation and found that standard statistical process packages can do the job. Important to know the business you are analysing above all!
- by MDMconsult, Prospector
- 4/4/2012 6:29:15 PM
@Tom These are special skills to have. Analytical skills but also they must have great understanding of the business. While pertaining to senior management this is important and more organisations should embrace big data allowing it to be managed. I see still a lack of more management and leaders in the coming years that need to learn how big data can change the way they compete. Management and teams working in big data sectors still get overwhelmed. No doubt that plenty of data is here. Skills have to saturate more in the market with working data scientists as it grows - testing new methodologies, designing numerous amounts of experiments and handling extremely large data sets.
- by BethSchultz, Blogger
- 3/14/2012 12:41:50 PM
@Louis Watson -- good point. I'll be curious to hear from Tom and Gil who else comes forward in their data science research but for now I do believe that title most often is bestowed and valued at Web 2.0 companies like LinkedIn, Google, Yahoo, etc.
- by Shawn Hessinger, Blogger
- 3/13/2012 11:21:22 PM
I think you've got something there. There will always be companies that lead the way, showing others the benefits of the investment by example.
- by Broadway0474, Blogger
- 3/13/2012 10:50:35 PM
@Louis, I appreciate your honest opinion. And I agree. In most instances, there are very few firms out of a given sector that are willing to pay the price to be leaders. They of course then reap the returns on their investment, and only then do the middling companies in that sector try to catch up.
- by Zimana, Blogger
- 3/13/2012 9:44:37 PM
Beth, great point - engineers are trained to apply scientific discovery in general. To Thomas' post topic, I think applying an imagination to how data can be used is a clear need that engineering can provide. I look forward to Thomas' reply and additional thoughts from he community.
- by louisw900, Blogger
- 3/13/2012 5:47:19 PM
I can understand the amount of technical background necessary to cope with understanding Big Data. And I am not sure companies are committed to investing in the type of person required to make sense out of this vast amount of data. Highly skilled workers demand high compensation, I don't see many companies eager to make this investment - yet another reason big data will be very slow to evolve into a standard aspect of data analysis.
Most companies will try to do this on the cheap, and will undoubtedly get what they pay for.
- by BethSchultz, Blogger
- 3/13/2012 4:45:43 PM
@Tom, I've talked with some folks who see engineering as a core discipline from which some of our future advanced analytics professionals will come. I'm curious whether you agree or disagree -- doesn't sound like engineering backgrounds are bubbling up in your early data scientist interviews.
- by Nnanci, Blogger
- 3/13/2012 3:45:01 PM
For now, the fact that no university, or at least not many universities are churning out data science certificates as a package, indeed your best bet as an organization is to pull resources together from several science industries. Computer science and statistics graduates seem most relevant in this.
Indeed it looks like a degree in data science will be modelled as a hybrid of computer science and statistics, then probably blended with a bit from a topic of specialization. So we can have a biological data scientist, a sports data scientist etc.
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