Let’s look at data which is raw and has not been interpreted. Information is the conclusions drawn from data and then usable intelligence can be said to be the insights about the information. In the old days, most documents were physical, which meant the data couldn’t be accessed automatically.
For example, if somebody was working on a project, the information was on paper on their desk so you just couldn’t get at it. Even for your own work, the retrieval effort was so high that the value of the data was completely ignored.
So to extract usable intelligence requires a change of mindset. What type of intelligence is available? Provided you can access it, things like spreadsheets, purchasing & delivery records, manufacturing data, internet traffic data, product complaint data and so on.
It’s all there and to help analyze this we can use tools:
Pivot Tables have been around for quite a while and they use a graphical interface to design reports using spreadsheet tables. It requires a certain amount of learning but they’re very helpful when you’ve got the idea of how they work
IBM Watson Analytics is interesting because it examines the data automatically and suggest reports. You see a report that could be useful and click on it. So you don’t have to do so much thinking.
So the challenge is to experience the benefits of shifting from pencil and paper working. Once you’ve got the benefits, then you will start using more of the intelligence which you already have.
So if you have project issues to discuss, please do contact me.
Thanks very much.
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