| |JULY 20258IN MY OPINIONBy Marcus Vinicius Velleca bernardi, Head of Data and Analytics, DakiDEMOCRATIZING DATA WITH AI IN A SELF-SERVED BI ENVIRONMENTThe wave of digitization has ushered in a new era of analytics, where every organization is striving to make the most of the vast amounts of data they generate. Being a food-retailer delivery company, we have always strived to provide our departments with the most granular and effective data for decision-making. However, with all advancements, there come challenges - and ours lay in addressing the needs of those who wanted swift access to data for nimble decision-making.The Traditional Approach: Centralized Data and Data VisualizationOur initial approach was built around a centralized database, coupled with a state-of-the-art data visualization tool. This setup empowered different departments to craft their own analytics and dashboards, all based on standard KPIs. With the collaborative spirit of my team, these departments developed dashboards that aligned with the company's overarching requirements.This endeavor was a success in many ways. A sizable number of our employees (approximately 250 core members) actively utilized our data visualization tools, averaging an hour of engagement each week. This showed us the hunger for data-driven decision-making within our ranks.The Underlying Challenge: Need for Swift Data AccessHowever, as with most stories of innovation, there was a twist. Despite our elaborate system, we identified a significant gap. A substantial chunk of our users, often those at decision-Marcus Vinicius Velleca bernardi
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