Since there was no proper system in place to manage and analyze data, we understood the challenges faced by the stakeholders and decided to assist them in transitioning to a higher level of data governance maturity.
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We discussed with the C-level stakeholders on discovery calls to understand the operations, objectives, and priorities of each department. We noted down the data collection processes that were being followed.
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From the information gathered, we identified and resolved data discrepancies. Our experts defined the KPIs including categories and dimensions. Through continuous inputs and feedback from the stakeholders, we finalized the KPIs. Mockups of the dashboard were shared as well for any suggestions and changes.
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We built real-time dashboards using Power BI for visualization of the data. Different dashboards were built for different functions of the business. The shareholders, customers, and employees could analyze and gain insights in real-time.
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We developed artificial intelligence systems for product and material tracking, defect and disposition tracking, product quality tracking, statistical process control(SPC), failure detection and control (FDC), engineering data analysis (EDA), predictive maintenance, predictive yield/output, plant optimization, and more. This was incorporated into the manufacturing units, screens, and floors.
