- by James Connolly, Blogger
- 2/2/2017 1:31:35 PM
@Silvon. I wonder what percentage of analytics projects take the "ready shoot aim" approach of running the numbers and then trying to figure out what to do with them. I'll bet the percentage is pretty high, particularly when it is the first project in an analytics initiative and failure simply poisons the water for future projects.
- by PredictableChaos, Data Doctor
- 2/2/2017 12:53:48 PM
"When the data sits underutilized, corporate finger pointing ensues. Business leaders blame the data science team. The data science team blames the business unit." etc.
Reminds me of "Success has many fathers, Failure is an orphan."
If a data initiative doesn't work out, you can bet it will be hard to find someone who admits they are responsible for the failure.
- by Silvon0, Prospector
- 2/1/2017 1:23:29 PM
"When the data sits underutilized, corporate finger pointing ensues. Business leaders blame the data science team. The data science team blames the business unit. Management concludes that data science is a fraud. In reality, everyone has to think about how data needs to flow through an organization, who gets what type of report, what types of problems data can solve, who needs to get alerts when an application highlights an issue, and maybe who backs up that person when they are out of the office."
Data science can benefit everyone in an organization, as long as they all understand how it can be utilized. There's nothing worse than data that sits, waiting to be analyzed and interpreted. It's up to each organization to define how the data will be distributed and what everyone's role is.
- by kq4ym, Data Doctor
- 1/18/2017 8:03:15 AM
The word "big" is one we see everyday in advertising and everyone wants now the biggest of everything. Remember the Sears catalog items marked good, better and best? I wonder what happened to that idea? Getting to "finding the right data, making it available to staff and customers who can take action on it," is most likely how we might want to think about analytics instead of big and bigger.
- by Joe Stanganelli, Blogger
- 1/14/2017 3:01:41 PM
I agree about killing the buzz of it.
Or, to put the problem another way:
1: "Big Data can solve our problem!"
2: Bad implementation.
3: Bad data.
4: New problem.
5: "Big Data can solve our problem!"
- 1/12/2017 6:03:57 PM
"...He also stressed that with the hype over big data, people would misapply the term to what is actually just data to sound more with it."
@Ariella Interesting. Sounds like this professor has a real understanding of how people function in the "real world". Quite often those in academia are charged with not understanding how the "real world" works - certainly not the case here.
- by Ariella, Data Doctor
- 1/12/2017 2:49:58 PM
@Louis900 The way he puts it, he's been doing this for a very long time, so he's quite confident about his terms. He also stressed that with the hype over big data, people would misapply the term to what is actually just data to sound more with it. That is not to say that small data is not important, he stresses that it is still very useful and not to be overlooked.
- 1/12/2017 1:26:31 PM
@tomsg I agree. I think the term Big Data just muddles the issue. Data is Data. But the marketing department needs to show their worth and thus we get the term "Big Data".
- 1/12/2017 1:22:44 PM
@James That is a great point about storage. Although Enterprises might not be concerned about this, SMB's surly are. Even though storage has come down in price, when you are talking about endless terabytes - it can become quite costly. A cost SMB's must be concern with.