Data Science Enables Insights Into Spend And Cost Optimization For A HVAC Manufacturing Company
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Problem
Our client is a leading HVAC manufacturing company. They wanted to create an analytical layer which could help in monitoring:
- Agreements: Contract details, warranty period, expiry, etc.
- Customer profitability: tracking each customers profitability
- Resource Utilization, WIP, Lead management,etc.
Using this data foundation, they wanted to build a forecasting model on revenue, demand, and utilization.
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Solution Given
Intelytica created a data platform that integrates data from various silos and gives a unified view of it. An analytical layer ensures that we get deeper insights from data and take appropriate measures to sustain the growth. The solution helps in better coordination between different verticals and provide better decision-making ability.
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Solution Impact
Our solution :
- helped in more visibility to different processes
- reduced data leakage
- gave a better monitoring system which increased efficiency
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Our Services
Data Engineering
The most critical aspect of any AI or Data Science project is Data. 70-80% of time in a project is taken by Data Engineering and Preprocessing. Our Data Engineering services help you to streamline your AI/ML processes.
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