How to build a data strategy ?

In a highly competitive environment, digital data has become a strategic asset. It supports decision-making and drives business development. However, given the sheer volume of available data, companies must implement a structured strategy to ensure this data enables relevant decision-making and improves overall performance.

So, what are the key stages involved in implementing a data strategy ?

Defining objectives

The foundation of any data strategy is a clear definition of the company’s objectives or the problems that need to be solved. This requires formulating them clearly, qualifying them precisely, and prioritizing them in order to subsequently identify the relevant data.

Conducting a data assessment

As digital technologies generate massive amounts of data, storage has become standardized, and business activities now rely heavily on digital systems, conducting an assessment and creating a comprehensive data mapping are two essential steps that make it possible to :

• inventory the generated data ;
• understand how data is stored and processed in order to identify potential accessibility issues ;
• identify data sources, often distributed across multiple information systems ;
• clean the data and remove unusable information (incomplete emails, missing postal addresses, etc.) in order to ensure data reliability.

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Connecting data to business objectives

From that point onward, companies can :

• select the relevant data sources ;
• define their scope (customer data, production data, human resources data, etc.) ;
• collect, classify, and process relevant data using tools that ensure security while making information understandable. The choice of these tools depends on the type of data being collected, the company’s needs, the available human and financial resources, and the company’s objectives (value creation, optimization, monetization) ;
• implement machine learning models related to the collected data ;
• establish predictive analytics based on artificial intelligence algorithms.

When processing data, companies must also comply with the General Data Protection Regulation (GDPR) to ensure data usage remains respectful of customer privacy.

Using modern tools and establishing a data-driven company culture

For a company’s data strategy to succeed, it is essential to use modern technologies powered by artificial intelligence and big data in order to benefit from fast and agile architectures capable of processing massive amounts of information.

In addition, it is equally important to create a data-driven company culture aimed at :

• involving teams as much as possible ;
• making data accessible in a single location through interconnected tools ;
• communicating shared objectives as well as the goals pursued by different business units ;
• unifying practices by standardizing data entry processes through a shared vision of data management ;
• making data understandable through dashboards and infographics.

Evaluating the data strategy

Companies must regularly evaluate their data strategy by integrating reliable indicators capable of measuring performance, identifying missing operations, and revealing the presence of irrelevant data.

Furthermore, this strategy must remain scalable in order to integrate new information over the long term according to potential strategic shifts within the company.

Implementing an effective data strategy requires several key steps designed to identify and collect the data that delivers the highest value to the organization, helping improve decision-making, increase performance, and achieve business objectives.

All these transformations within internal company processes contribute directly to broader digital transformation efforts.

To support the implementation of your data strategy, you can rely on the consulting firm Eleven, which helps organizations structure their data, select tools aligned with their objectives, and fully leverage their data to improve performance.

Here is an overview of Eleven’s activities in this field : https://eleven-strategy.fr/business-cases/transformation-digitale-360/

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