Data intelligence refers to a process for managing, analyzing and using data with the aim of extracting added value from it. For companies, it has become a major issue, to the point of calling on companies specializing in data consulting to carry out a complete audit and propose solutions to improve the processing of information.

Data intelligence for better knowledge

Having a good data management policy in a company makes it possible to improve the knowledge base and to enrich it more easily. For this, it is essential to carry out a sorting, a classification, and also to remove duplicates.

Data intelligence for better communication

Investing in data intelligence does not only require working on information, but also on communication vectors in order to facilitate access to it. Today, in companies, it has become imperative to develop a hub that will centralize data that will become accessible to a certain number of authorized people and from a multitude of devices (computers, tablets, smartphones, etc.). Beyond facilitating access to information, the hub allows several people to collaborate on the same file and enrich the data .

Data intelligence for more performance

It is by having more in-depth knowledge of its customers and by improving the processing of information within an organization that one improves the performance of a company . Take the example of customer data. Data intelligence makes it possible to implement a personalized relational strategy. The IT tools developed to enhance this data (Unique Customer Repository, marketing platform, automation, etc.) will transform customer knowledge into a targeted and effective commercial campaign. Data intelligence therefore not only improves the quality of information and promotes communication, it makes it a source of business for the company.

The challenges of data security

Enterprise data valorization experts also need to implement a secure two-tier architecture. The first is to work on the security of the IT infrastructure in order to avoid leaks, thefts and cyberattacks. The second level consists of working on data security in order to ensure information management in accordance with GDPR regulations, especially when it comes to securing a customer data file.

Today, data intelligence is an essential lever of growth for companies insofar as the valorization of data makes it possible to generate business. The implementation of such a strategy requires calling on different types of skills. The advantage of using specialized agencies is to benefit from different levels of expertise to set up an effective infrastructure.