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How our workplace injuries prediction model helped in compensation planning and implementation of safety measures in plants

The Background We recognised that the traditional, one-size-fits-all approach to safety measures often falls short in addressing the nuanced risks inherent in different sectors of a plant. To bridge this gap, we developed a cutting-edge Workplace Injuries Prediction Model, offering granular insights segmented by both the part of the body affected and the specific sector …

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How we harnessed Machine Learning to predict taxi fares for travel patterns decision making for a taxi agency

The Puzzle and Misguided Trail A leading taxi agency sought a way to enhance their services, to foresee fare estimates with precision. The hurdle? The unpredictability woven into the city’s fabric—a multifaceted taxi world involving numerous variables—distance, time of day, traffic conditions, and more. Traditional methods fell short in providing precise estimations, leading to inefficient …

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How we helped a SaaS optimize a slow reporting architecture in Power BI and Google BigQuery

From Sluggish to Fast and Furious Reports Our journey led us to collaborate with a SaaS enterprise grappling with sluggishness in their reporting infrastructure within Power BI and Google BigQuery. Their data dancing in millions of rows – a single fact table having close to 300 million rows of data, and a complex many-to-many relationship …

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How we applied Analytics to optimize Ad spend and maximize ROAS in affiliate marketing

The Call for Optimization We helped a trailblazing credit card affiliate marketing business to go beyond existing in the digital sphere and optimize every click into a symphony of sales. Ad platforms like Google, Meta, and Bing heavily rely on data. But not just data – quality data, the kind that fueled algorithms for the …

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How we revolutionised Healthcare Data Management using Cloud DevOps

The Challenge Unveiled The institution faced significant challenges with their existing on-premises system, including an outdated EMR system, expensive and complex data management tools, and difficulties in obtaining reliable insights from collected data. The lack of an end-to-end solution hindered efficient data processing, analytics, and visualisation for the analytics and M&E team.   Outdated and …

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