What is your company's data maturity level?

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A high level of data maturity enables companies to achieve successful results, such as increasing sales, reaching new markets or even improving their contribution to environmental sustainability.

Has your organization reached an optimal level of data maturity?

Find out in this article.

Why is it important to measure an organization's data maturity level?
More and more companies understand the great value of information to achieve business objectives. But few know that the level of data maturity is central to achieving this objective.

Talking about data maturity means talking about organizations that are capable of generating value through the use and governance of this relevant information.

A recent survey by Hewlett Packard Enterprise (HPE) revealed that the afghanistan phone number lead average company's maturity level is 2.6 on a 5- point scale .

The survey included more than 8,600 decision-makers from 19 countries , across industries and sectors . Using an assessment model, HPE analyzed companies' capabilities to generate value from data.

The most notable findings were as follows: 14% of companies have a maturity level of 1; 29% have a level of 2; 37% have a level of 3; 17% have a level of 4; and only 3% have reached level of 5.

The report reveals the great importance of achieving a high level of data maturity , as this increases sales, allows for innovation and improved customer experience, as well as boosting internal efficiency.

Recognizing the level of maturity offers a detailed look at the particular situation of each area in the use and management of information. In addition, it allows for a deeper understanding of the strategic, institutional and technological gaps that must be closed in order to use data as a central asset in organizational success.

How to measure data maturity level?
Now that we understand the value of measuring data maturity level , it is important to know what the different levels are and their characteristics.

There are 5 levels of maturity, whose specific analysis provides relevant knowledge for planning a path with clear and strategic roadmaps.

Maturity is assessed by looking at core characteristics of the ability to achieve each strategic goal at each level of the maturity model. That is, a company could have different levels of data maturity in relation to each area.

Let's look at each level in detail.

Level 1: Beginner
These are companies that do not collect data and do not generate or use indicators. If these exist, they are largely estimates.

There are few formal data standards in place and few good practices are employed. Data handling is not planned and is largely done on a case-by-case basis.

There are no formal mechanisms for making decisions about data quality, and the technology is not widely available.