FEATURE: DATA
New data industry demands performance and value first
Jorge Moskovitz, Enterprise Account Executive, Qlik, says performance and value must be at the center of the data strategy of every organization that seeks growth and relevance in this digitized market.
In recent years, we have witnessed a revolution in the data industry. Digital transformation, once an imperative, is already a consolidated reality. The discussion has shifted: it’ s no longer about“ if” companies should integrate AI and advanced analytics into their processes, but“ how” to ensure that these solutions deliver real performance and value.
Experimentation gave way to efficient execution. The adoption of GenAI and advanced analytics solutions has increased and become an operational necessity. Now, organizations need to prioritize superior stability and expertise to ensure that their data products – an approach that delivers high-quality, curated, off-theshelf and AI-enabled datasets – truly deliver business results. Performance is no longer a technical detail but a strategic factor. As a result, data products that are slow, unstable or unable to generate actionable insights have no market share.
In this scenario, it is not enough to integrate different data sources or offer interactive dashboards. The challenge is to make every query, analysis and prediction useful, fast and impactful. This performance of data products must focus on excellence throughout the data journey, from its capture to its transformation into valuable insights, with agility, stability and security. It must be prioritized when we talk about obtaining and using valuable information and, to ensure it, there are some essential pillars to be adopted.
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