Problems and opportunities created by having too much data and what to do about them

Ten or fifteen years ago it was rather difficult to fill up those seemingly massive HDDs with 20 gigabytes available for quite a high price. All our music, videos, and photos could be placed on a humble bunch of optical discs oh, those MB, you could store so much! But today we are not really happy with the hundreds of gigabytes we have on our PCs, smartphones, and tablets. We buy more external HDDs and cloud storage space to store all the stuff we are accumulating.

Problems and opportunities created by having too much data and what to do about them

Problems and opportunities created by having too much data and what to do about them

This would include a review of all proposed projects and prioritization of their implementation so as not to overload employees with change and ensure that resources are not stretched too thin. The cost alone to generate what is sometimes ad nauseaum data, is only part of the equation—losses in employee productivity as Chakravorty outlines.

Other culprits stealing our productivity in corporate world are the countless back-to-back meetings, like school is in session with everyone scurrying to get to their next meeting.

When does an employee get their work done? My own company went through an integration project where more than 50 processes were changed within a period of 6 months. The consultants, who were creating the documentation, were least worried about whether or not the employees are able to understand the new process.

They just completed the new documents, loaded them to the sharepoint and forwarded everyone a link. When employees clicked on the new process document they had to sift through 20 pages in order get to one page worth information…. I think simplification of instructions is an art that has been lost in an effort to being pompous.

Syvertsen October 6, A very simple analogy: Kathy Wilson October 7, I agree that implementing too many sweeping changes all at once has to be overwhelming to a company.

And who has time to read all those training manuals, statistical reports, meeting summaries and emails? Employees have a hard enough time getting their regular work done, which is why management decided to bring in a consultant in the first place.

Problems and opportunities created by having too much data and what to do about them

It seems to me that it makes more sense to tackle one department or one problem area at a time, let the employees get used to the changes and then implement the next improvement program.

The goal is to have problem solving that results in overall improvement of company efficiency, productivity and ultimately profitability.

This has to be done in a way that the average worker can understand and not feel like he is drowning in a sea of training manuals. It reduces day to day productivity as well as process improvement initiatives.

The department I work in receives 8 to 10 emails a day that 13 different people have to review to see if they are relevant to them, and most of them are not.

I completely agree that digital information needs to be managed tightly to reduce information overload in the workplace. C Chang October 10, I agree with the writer that there is a need for companies to consolidate improvement initiatives and to also consolidate the amount of detailed information and instructions given to employees.

Although it is important to be detailed when giving direction on new processes, it is more important to be precise. One can easily get lost in details and discouraged from the big picture. Matthew Dibling October 10, I think information overload applies to many aspects of an organization, not just with process improvement!An award-winning team of journalists, designers, and videographers who tell brand stories through Fast Company's distinctive lens.

Our Daily Bleg: What to Do About Too Much Data? - Freakonomics Freakonomics

Why . So be grateful for what you have, and if having too much data is your only complaint, come here and I'll give you something to complain about. gp . Aug 24,  · collections.

Our Daily Bleg: What to Do About Too Much Data? - Freakonomics Freakonomics

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Feb 04,  · Too Much Time is Spent Solving Problems After Projects Are “Live” There are bound to be a few bugs here and there, but this is a classic problem caused by focusing too much on production, and not enough on testing. Data mining innovator Shyam Sankar explains why solving big problems (like catching terrorists or identifying huge hidden trends) is not a question of finding the right algorithm, but rather the right symbiotic relationship between computation and human creativity.

Dec 15,  · However, in my personal life I was having a problem with too much data. I watch all of the Warriors basketball games on DVR. However, nothing is worse than watching for hours and in the end your team gets blown out.

Big Data or Too Much Information? | Innovation | Smithsonian