Today we collect a lot of data but their exploitation is still limited.

The business rather than watching its data as a trophy in a showcase that is the pride of management by the number, must make them talk. That is to say, identify, analyze, sort, segment and qualify them so that their access is streamlined within the company.

Mapping the data with a repository common to all has become essential to be able to make speak data and gain performance services by services.

And yes! To map the data we must go step by step and therefore service by service because certainly, a final 360-degree vision will include having a real strategic vision and build tools to help the decision-making process.

But just by mapping production data, for example, the industrial company can control better its production and thus reduce maintenance costs on its machines.

How should I start?

To get started, one must first determine the data that is available and in which systems. It is necessary to make an inventory of the data and their use in the company. Companies often want to treat everything in bulk, that is, they start by centralizing all their data. This is a mistake that can be expensive because not all data is of the same quality.

We must start by identifying the data and their location, as well as the treatments performed with. If the company has ten departments, it will make an inventory of the data of each to define which could be profitable according to the use that it wishes to make of it. Then, it will gather in the same system only those that are relevant.

How does that help me?

This allows you to prepare for the RGPD (general regulation on the protection of personal data) which is mandatory for all May 25, 2018. But far beyond the regulatory aspect, mapping allows you to regain control of your data :

  • Creating a repository identical to everyone in the company,
  • Take control of your data and dig up treasures hidden in your software,
  • Know all existing treatments and avoid redoing existing things,
  • Have a collaborative tool.

And after?

Once mapped and referenced, we can make the data talk by crossing them with each other or with external data. This is where you begin to discover new sources of performance and the full potential of Data Intelligence is revealed by talking to you.

Thanks to this approach you will be able to identify quickly the business that you will probably conclude, very useful to have financial visibility.

You can better organize your production, identify the risks of unpaid, reduce the turnover of your company.

Or, improve the performance of your business approach.

So many decision aids provided by data analysis.