Singapore, 10 March 2023– In a digital-first world, enterprises are generating data at breakneck speed as they integrate technology into all areas of the business to adapt to market and digital disruptions.
Over the last few years, market changes in the automotive sector have created a growing value gap between manufacturers and consumers. Industry disruptions such as changing customer digital behavior, stricter ESG regulations, and the boom in demand for electric and hybrid vehicles have led companies to rethink their digital transformation strategy, with data and analytics at the heart of it.
To set the foundation for analytics success, global automotive distributor Inchcape turned to Microsoft for its business needs. Inchcape distributes and markets vehicles of some of the world’s most popular brands like Toyota, Mercedes-Benz, and BMW to over 40 countries across six continents, including Singapore.
Recognizing the value in embracing data-driven digitalization for predictive analytics in customer engagement, pricing optimization, and demand forecasting, the company established a new strategy called ‘Accelerate’, which had digital transformation at its heart. To build out its data and analytics capabilities, Inchcape sought out Microsoft Singapore’s partner, Tiger Analytics Inc, to put its digital strategy into action.
Inchcape’s platform of choice for a seamless omni-channel transformation was Microsoft Azure to leverage the company’s existing SQL-based systems. Using Azure meant that migration and deployment of workloads could be automated, faster, and more agile compared to other platforms. In addition, Inchcape could access Databricks and Data Factory to facilitate efficient data transformation.
Inchcape identified three areas for initial use cases for its data models, utilizing them as tools for making better business decisions. The first was a lead scoring tool centered around car sales built using the Azure Databricks Data Analytics Platform for customers. The solution allowed Inchcape to determine customers by their ‘digital body language’ based on website interactions, showroom visits and sales history.
The second use case was for after-sales churn prediction, which was tied to service warranties. By analyzing warranty and car servicing data, Inchcape could engage with customers proactively before they decide to leave.
The third was used in parts pricing optimization and profit maximization, which are tied to transactions with dealerships and shops. By evaluating parts transaction data, Inchcape can determine better opportunities to maximize product price elasticity.
Together with Tiger Analytics, Inchcape built a data analytics center of excellence, achieving a centralized approach to harnessing the power of data.
As the company plans to expand its analytics capabilities across the business, Inchcape’s central analytics team has grown from 20 to 150 employees globally.
Inchcape also established a long-term analytics roadmap to unlock the true value of data and drive its digital strategy well into the future. Learning from the initial use cases, the company is now evaluating 20 more possible use cases to establish how data can be leveraged for business intelligence.