{"id":12328,"date":"2022-10-10T10:35:39","date_gmt":"2022-10-10T08:35:39","guid":{"rendered":"https:\/\/www.sqorus.com\/?p=12328"},"modified":"2026-05-21T10:55:32","modified_gmt":"2026-05-21T08:55:32","slug":"how-to-develop-a-data-driven-culture","status":"publish","type":"post","link":"https:\/\/www.sqorus.com\/en\/how-to-develop-a-data-driven-culture\/","title":{"rendered":"How do you develop a data-driven culture?"},"content":{"rendered":"

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In brief<\/strong><\/p>\n

Becoming a data-driven company is more than just deploying tools. It’s above all a cultural, organizational and human challenge. COMEX sponsorship, data governance, high-impact use cases, data literacy training: discover the essential levers for developing a sustainable data-driven culture in your organization. <\/p>\n

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What is a data-driven company?<\/h2>\n

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A data-driven company is a data-driven structure. This means that it uses data as a lever for making informed decisions to drive its business, with a view to improving performance and creating value.<\/p>\n

Aware of this, companies must start a data transformation<\/strong> process in order to become data-driven structures to continue to exist in an increasingly complex environment. A study conducted by Deloitte in 2019, shows that of the panel of companies wishing to become data-driven, only 32% succeed.<\/p>\n

This transformation of companies is not simple. Before being a technological issue, it implies first and foremost a challenge in terms of culture, processes and above all people. To create a data-driven culture, companies must take action.<\/p>\n

These challenges are directly linked to the major issues facing HR departments today<\/a>, as they seek to transform HR data into a lever for strategic management.<\/p>\n

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1. Have the COMEX take up the data challenge<\/h2>\n

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“The first thing was really this managerial will to place data at the center of Microsoft’s transformation”<\/em> Lionel Gourvitch, Director of Data&IA Strategy – Microsoft.<\/p>\n

The issue of data is above all a strategic and transversal lever of action carried by the COMEX. Without a strong commitment from top management tointegrate data culture into its strategic plan<\/strong>, this transformation will never take place.<\/p>\n

What’s more, this approach ensures that all corporate bodies, right down to the lowest level, pay particular attention to data.<\/p>\n

With a clear vision and measurable objectives at all levels, management is the driving force behind the project and encourages all employees to get involved in the process, enabling the company to succeed in this transformation.<\/p>\n

The COMEX sponsorship of the data transformation<\/strong> also ensures a budgetary envelope, enabling investment in the infrastructures necessary for this transformation. Indeed, becoming a data-driven company implies heavy investments to collect, clean, model, analyze, visualize, secure and store a large amount of data.<\/p>\n

In the majority of organizations, HR data<\/a> has been built without any overall intention, by piling up tools (HRIS, ATS, LMS, local Excel files) without any overall vision. It’s not uncommon to see datalake projects launched by the IT department without integrating HR data<\/strong>. Not out of rejection, but out of habit: HR data<\/strong> is not spontaneously perceived as strategic, unlike financial or customer data. Without an explicit decision at COMEX level, this pattern is repeated indefinitely. <\/p>\n

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2. Implement data governance<\/h2>\n

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“Data Governance Is About People and Process, Not Technology”<\/em> Terence Siganakis, CEO of Growing Data<\/p>\n

This mass of data produced by companies requires ad hoc data governance<\/strong>. Indeed, the challenge lies in being able to move from an anarchic, visionless data management mode to a reliable organization that guarantees access to quality and compliant data. Data governance must impact the organization of the company in order to make it able to manage its data efficiently. To achieve this, companies need to reconsider the way they process data.<\/p>\n

Data governance consists of putting in place a data management framework based on a set of processes, rules, standards and roles that guarantee the use of company-generated data to develop business and innovation.<\/p>\n

Good data governance is built around 2 pillars:<\/p>\n