JUNE 2021CIOAPPLICATIONSEUROPE.COM 19ata Mining has paved a way for answering many questions which were unanswered in the past. Data Mining helped to do a lot of root cause analysis and helped industries to improve their productivity by understanding non-value add tasks and waste reduction etc. In addition, helped to improve sales by looking at customer buying pattern and market analysis.This has been very exciting and helped business grow and created opportunities to improve. In addition to this it also raised questions on how we can improve the current situation for business with data mining rather than looking backwards and/or forecasting future planning (which have lower credibility due to COVID situation) with AI and ML.Can we make life simpler/easier for business with Data Mining and with possibilities of Automating the processes?In one of my previous experience, we had a thought that how we can prioritize thinks for business e.g. which orders to release first? which customers to serve? which products to order first? if we have blocks due to many reasons, which one I act on first to keep the delivery dates?These questions are answered in data and is generally available in your system and business use that to make those decisions.Question was, why we must do this manually when we already have the data to prioritize things and best why cannot we automate that. These questions made us think how we can leverage combination of Data Mining, AI, and ML with Automation to make things efficient and effective for business and ROI for Data Mining.Data Mining use case was showing ROI as below: At that point of time, I came with an approach that we could switch to different ROI Model.DNAVEEN GUPTA, GLOBAL HEAD OF DATA GOVERNANCE & ANALYTICS, ARCHROMA MANAGEMENT GMBHData Mining - Moving towards actionable output with automation.Naveen GuptacXoinsights
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