- by kq4ym, Data Doctor
- 10/18/2015 10:53:20 AM
I've always been amazed and disappointed that sales departments don't always seem to know what the management has planned for promotions after lengthy research and conferences. The communication is still lacking on what analytics finds as possible answers to problems but the folks below management don't get the word on what to do with it.
- by Jamescon, Editor
- 10/10/2015 4:19:50 PM
@Jamecon Yes, key point. There is significant work to do correctly before the real issue can even be effectively addressed. I agree, this is more than likely where the problems begin in most analytics projects.
- 10/10/2015 4:16:24 PM
@Ariella This is troublesome to hear. The statement by Mr. Ratzeberger implies to me that a large number of companies do not understand the fundamentals or are at least loosing sight of them during the process.
I find it hard to believe that Big Data was the first to expose this failing in business management and execution. Big Data probably just shines a larger light on these flaws in the execution of business management overall and analytics in particuliar.
- 10/10/2015 4:08:57 PM
@bulk Good point. It is very difficult to carry this out - staying focused and letting the facts guide you whether you want to or not is very difficult.
Seems to be an issue of problem definition or clarity - not many can stay focused on the issue(s) and then it just gets very messy for lack of another way of putting it,
- by Jamescon, Editor
- 10/8/2015 4:52:15 PM
@bulk. Right, the challenge is that you have to identify business problems, and then prioritize those, and finally identify if there is data that can address the key problems. All that before the real data collection and analysis can take place.
- by Ariella, Blogger
- 10/8/2015 12:01:52 PM
<That's the key – problem definition – issue framing. So often, we look for problem solvers, but the skill set really needed is problem definers.>
@Bkbeverly Exactly, as Oliver Ratzesberger, Senior Vice President of Software at Teradata "Without business results, big data is just a science project,. That's the mistake many businesses made when they jumped on the big data bandwagon without a plan for its use.
- by bkbeverly, Data Doctor
- 10/8/2015 11:27:17 AM
Hi Bulk, That’s the key – problem definition – issue framing. So often, we look for problem solvers, but the skill set really needed is problem definers. Pouring water half-way into an empty glass means that the glass’ capacity is 50% optimized. Hence it is both half-empty and half-full. Now how you frame this issue will determine whether you look for a solution that will increase production, prevent depletion or increase depletion. If the analytics show that the glass is at 50% capacity, then that is the point where someone should hit the analytics pause button. At that point, management needs to determine if this is good, bad or unexpected – is it really a problem? Even in research, the first step is Definition of the Problem. Also as it relates to defining problems, you have to ask: (1) Is it a policy problem?, (2) Is the policy good but the procedures needed to implement the policy are bad?, (3) Are the policy and procedures OK but the staff are untrained to do the work or not available (out on leave, quitting, on strike, etc.)?, (4) Is everything OK internally but a new local, state or federal law has placed constraints or extra work thus resulting in a problem? (5) etc., etc. etc. Is the problem a political smoke screen to cover up another issue? Is it an EEOC issue? So yes, the real work is identifying the problem (if there really is one). Agree with you 100%.
- by bulk, Data Doctor
- 10/8/2015 2:28:28 AM
For me the real challange is always identifying the true problem that you are trying to solve and then figuring out how the data can help. It's never an easy process.
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