3 Data Strategy Pitfalls

George Firican
3 min readJun 19, 2023
3 data strategy pitfalls

Welcome to the Lights On Data Show, where today we delve into the topic of data strategy pitfalls. Joining us is Dora Boussias, an esteemed expert in the field of data strategy. Dora has an impressive background in IT and a deep understanding of the critical role data plays in organizations. Let’s explore the three pitfalls she highlights and learn how to navigate them successfully.

Pitfall #1: Data Strategy is all about the Data

Data strategy should be centered around the business rather than solely focusing on technical aspects. While it’s essential to have a strong foundation in data management and best practices, the ultimate goal is to drive business success. Data should be leveraged to enable business growth, enhance customer experience, streamline operations, reduce costs, and mitigate risks.

To overcome this pitfall, it is recommended to cultivate curiosity and ask relevant questions. Get to understand the business side, its goals, successes, and challenges. At the same time, build strong relationships with internal and external stakeholders in order to better understand business objectives and align the data strategy with the business, accordingly.

By understanding the purpose and impact of data initiatives on the business, you can contribute more effectively. Actively engage in…

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George Firican
George Firican

Written by George Firican

Data governance & BI professional, ranked among Top 5 Global Thought Leaders on Big Data, founder of LightsOnData.com and Co-Host of the Lights On Data Show.

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