The Indian automaker was seeking a data-driven business model. They had decentralized master data, localized KPIs, and varied logic of operations metrics. While non-integrated data in diverse systems not only led to unfavorable customer experience, it also delayed decision-making due to a lack of centralized visibility. As part of their digital strategy, the customer wanted to improve sales and user experience across platforms. This required a deeper understanding of the sales and customer data. So, the customer opted for Tata Technologies, one of the global leaders in data management solutions for the automotive industry, to build a suitable digital platform for data governance.
For the customer, data was a complex asset. They were looking for a trusted partner to build successful data-driven strategies – starting with the enablement of quality data in their organization. As a preferred partner, we laid a strong foundation for data management and data governance, helping the customer achieve reliable customer insights.
We created a centralized repository to store all structured and unstructured data at any scale — preserving the accuracy and timeliness of the data. Using the datasets available, our team of data scientists built various machine-learning models for advanced insights that could be leveraged by all stakeholders across the organization. Making business data available across the organization encouraged the use of data-driven actions to measure key business success parameters.
The enterprise data platform helped the OEM increase spare parts fill rate by 4%, which resulted in a reduction in vehicle off-road time by 76%. Advanced insights helped the OEM make better decisions on existing product improvements and new product development while keeping up with intensifying competition and changing business models.