If you look at Google trends, you can easily see that interest
In the data-driven topic has grown by about 2.5 times in 5-6 years. You could say that the trend has entered a “mature” stage, while the overhype
Happened 15 years ago — then everyone was writing about the dat overseas data a-driven companies and approach.
But the situation, even now
Is slightly distorted in favor of the selfish interests of those who write about it. As a rule, these are companies engaged in building reports for business, data mining, dashboards
End-to-end analytics, performance marketing and the like. Therefore, almost everything that has been written about the data-driven approach in
Recent years comes down to the slogan: if you are not data-driven, then you suck.
And if you follow such guidelines, you need toollecting data, even when you have a shoe repair shop with
traffic of five grannies a week. After all, in 5 years you will grow up and one way or another
In addition, if you believe the instructions, it may seem that becoming data-driven is quite easy. Anyone can do it, you just need to…
Why does a business need data at all
Processed and interpreted data is the basis for making any decisions. This process data on occurs everywhere, in everyone’s brain, even when you just cross the street.
With any management culture in a company, data is involved in you can feel it when reading decision-making – otherwise the decision maker would simply have nothing to rely on. But then there are two ways:
The first is to rely on authorities
has worked in his field for 10 years and held a management position for 6 years
He expects to shift responsibility to the intuition, experience and other professional qualities of this person.
The cool thing about this approach is that an expert can very quickly assess the situation, draw conclusions and offer solutions. In conditions when there is no time to collect data or hold round tables, this is an ideal option.
If something goes wrong — hypotheses do not come true, decisionsad to profit losses — the manager is replaced.
The second is to rely on data. The manager creates a department that deals with data, and with it the entire infrastructure: data supply channels, storage locations, analytics software, dashboards, and so on.
The advantage of this approach is that the data is always objective. If the entim is set up correctly, the data is correct, then the conclusions that the mathematical algorithm makes are impartial, accurate, and most likely true.