RISE TO BE FUTURE-READY 41 DATA ANALYTICS & INSIGHTS Power Insights for Value Propositions Club Mahindra The Power Insight project is focused on harnessing the power of algorithms to empower the customer service team at Club Mahindra. The project aims to provide next best actions to customer support teams for inbound calls by members. It involves analysing user behaviour and utilising data security and governance using a cloud-first approach. The expected benefits include enhanced member experience through receiving relevant information like upgrades and other benefits, revenue generation opportunities through various action areas like increase in F&B selling, online leads conversion improvements, and improved resort utilisation through assisted holiday planning. Data Consolidation to Increase Capabilities Teqo Predictive Maintenance Made Better Auto Sector This initiative focuses on implementing data analytics for predictive maintenance in the paint shop of our manufacturing facilities. By analysing critical condition-based monitoring (CBM) parameters from over 90 shopfloor chiller motors, including temperature, vibration, speed, current, differential pressure, and environmental temperature, we aim to predict anomalies and failures. The project develops a user-friendly dashboard with real-time data visualisation and predictive graphs for monitoring motor performance. An AI chatbot is implemented for interactive querying and customised reports. The project aims to improve operational efficiency, reduce downtime, enable proactive maintenance, and achieve cost savings and enhanced productivity for the paint shop. The Prakraman project focuses on establishing a data lake for products of Teqo (Solar business of Mahindra Group) to enable data consolidation, analytics, and data science. The project involves the flow of data from SCADA to the Google Cloud Platform and it aims to enable data science and analytical offerings, save infrastructure costs, and provide data access for business intelligence. It involves collaboration between site owners, site teams, subject matter experts, and end customers.
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