Forgetting Big Data

big dataTime to time we hear fearful talks of people about big data, as if it is a disastrous mess. It is always described as complex problem to handle. However big data itself has a beginning and an end.

Here and there we hear people talking about what they think of big data. The way they speak about big data is an effort to break it up. To separate the big data is normal and natural.

When we started to trace things using numbers, we needed to understand where the info started and where it ended. When we automated data, we needed to understand where a group was starting and ending, because computerized world was transferable. It involved data tracing sales, costs, stocks and other limited information.

That’s why we are discussing the batch jobs and data sets. It completely fits the pattern that we are pleased with.

The recognized amount of various kinds of data will change rapidly in the future. Nowadays some types of data may not be useful or valuable or may be too hard to operate, but in future you will see things from another angle.

We just need to focus on existing data and find a way on how to link it altogether, examine it more widely, and allow it to provide value to a wide range of people in our companies.

It may sound a little harder. With the term ‘big data,’ we’re actually thinking small, solving key issues without dealing with the more pressing, more valuable outcomes that are available when we think about all data.

Some of the most successful companies in the world won’t use the term big data because they’ve discovered all data. One of my best customers is on a constant quest for ever-greater connectivity to any and all consumer preference data. They know that each and every day they learn more about what matters most to their customers. They aren’t putting boundaries around what they’ll monitor, and they have what is considered to be one of the most advanced data architectures in the world.

So all we need to do is to get out of the big-data (which is a small-data actually) mentality. All data is the real mess to clean up, you may not see it right now. All data is waiting to be discovered and put to use. All data is where the real value is found.

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