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Most people, including most managers, haven't the foggiest idea of which method of analysis to apply to any data. And even if they do, too few of them are honest enough, even to themselves, to ethically report on all situations. Truth is, if someone is quoting statistics to you, the odds are they are either lying, or wrong.
'data analytics' in a way different to the traditional one. For as far back as people have kept records people have looked at the data and analysed it to look for trends of other advantages from understanding what's going on. This is a basic behind a lot of the financial and accounting needs forecasting done on a daily basis by accountants for many decades or more. In the logistics field this is essential daily work to ensure you have sufficient materials and spares to get the work done, same applies in manufacturing and sales. Just how do you see this being different, or being done different in the future as applied to IT?
As you rightly point out, some industries or specific industry segments have used data analytics for decades--if not centuries. But now, we're seeing a rapid proliferation of data analytics across the entire corporate/organizational landscape.
Organizations that didn't see analytics as useful are rethinking that assumption, and they're pushing analytics further down into the decision making structure--beyond just directors and managers. Technology is driving much of this change. Not only can data be collected, stored, analyzed, and disseminated more easily than in the past, there's a lot more of it.
At the most basic level, people won't use data analytics (or big data) any differently in the future than they have in the past--to help them make a decision. It's just the process that's changing. But, in a way that will transform both business and our society as a whole.
Organizations that didn't see analytics as useful are rethinking that assumption, and they're pushing analytics further down into the decision making structure--beyond just directors and managers. Technology is driving much of this change. Not only can data be collected, stored, analyzed, and disseminated more easily than in the past, there's a lot more of it.
At the most basic level, people won't use data analytics (or big data) any differently in the future than they have in the past--to help them make a decision. It's just the process that's changing. But, in a way that will transform both business and our society as a whole.
working I've done things from counter sales, to manufacturing, to logistics, and accounting - in every endeavour everyone in a supervisory role of some sort collected and kept data on the work and analysed it, but usually in their head. Heck, I've even seen brickies doing it to work out if a particular labourer was pulling his weight or not.
I suspect the differences are now a lot of it is being collected electronically, and it's also affected lower levels of admin people than before. But I did wonder what I was not seeing in the article.
I suspect the differences are now a lot of it is being collected electronically, and it's also affected lower levels of admin people than before. But I did wonder what I was not seeing in the article.
Great article - thanks Bill.
Hope to use this to alert my people to get on with it.
Hope to use this to alert my people to get on with it.
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