Enabling a Global Automotive Distributor to Increase Profits & Retain more Customers with a Data Analytics Platform

Business Objective

Our client is a leading independent global automotive distributor, operating in over 40 markets with a portfolio of leading automotive brands. In recent times, a combination of market disruption, increased regulations, and dynamic customer behavior has highlighted the need for agility and personalization. So, the client embarked on an aggressive pursuit to become a data-driven organization.

However, the journey to tapping into data analytics at such a large scale started with challenges like the prevalence of legacy systems, disconnected data sources, and siloed processes.

Challenges

Prevalence of complex legacy systems that come with multiple sources of data
Siloed and disconnected processes to manage the current flow of data
Lack of a strong platform to drive analytics use cases for customer growth and retention

Solution Methodology

Established a centralized approach through discovery, analysis, development, deployment – covering data engineering and data science

Backed by Microsoft Azure with Databricks as the preferred cloud platform, deployed a scalable data pipeline for advanced analytics and BI reporting

Built a lake house on Azure by ingesting, enriching, and integrating data about various business operations, tightly coupled with “Data Quality” validation using open-source framework and ensured reliability of data used for Analytics

Business Impact

Sales teams are selling the same number of vehicles but handling 40% fewer leads and driving overall higher lead conversion
Dynamically changing prices w.r.t to market factors – leading to a 4% increase in profits for one OEM brand in a market
Better visibility on top churners – improving customer retention rate by 15% in a market
Governed Lakehouse solution that organizes & manages data, logs events, usage of cloud resources to track & optimize cloud costs to budgets defined

Privacy Notice Cookie Policy