There is no Data Strategy without first addressing Data Quality. This is the message we shared during the final conference of Big Data & Business Analytics, organized by the Digital Innovation Observatories.
To build an effective data strategy, it’s not enough to collect and analyze information: it is essential to ensure its accuracy, reliability, and accessibility. This is an ambitious but necessary goal to promote a culture of innovation within organizations.
With About Different, the company within our Group specializing in analytics consulting, we are committed every day to enhancing the informational assets of businesses. During the conference, Francesco Verrastro, Data & Digital Consultant, presented a talk titled: “Data Quality: The Fundamental Pillar of Data Strategy.” The message was clear: without quality data, any strategy is at risk of failure.
We emphasized how the correct use of data and effective governance are crucial for turning analytics into real value. To achieve strategic and responsible information management, an integrated approach is needed that combines Data, Culture, and advanced tools like Generative AI.
Only by supporting the entire data lifecycle can businesses build a true competitive advantage. Therefore, Data Quality is not just a technical issue but the foundation of any innovation-driven strategy.
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