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  1. LTIMindtree is now LTM | It’s time to Outcreate
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  3. Enhancing the customer experience by modernizing a leading North American bank's contact center

Data Infrastructure Modernization:

How a Scandinavian Commercial Vehicles Leader Improved Data Performance

Nov 01, 2024

  • Client
  • Challenges
  • LTM Solution
  • Opportunities
  • Our approach
  • Business benefits
  • Conclusion
  • Client
  • Challenges
  • LTM Solution
  • Opportunities
  • Our approach
  • Business benefits
  • Conclusion

Client

Our client is a leading Scandinavian manufacturer specializing in commercial vehicles such as heavy trucks, buses, and diesel engines for industrial applications. With a focus on sustainability and innovation, they are committed to delivering efficient, eco-friendly solutions to advance the industry.

Challenges

In the competitive commercial vehicles sector, a seamless data view is crucial for managing transport, financing, insurance, and rental services. However, the client faced significant hurdles with their legacy systems, which lacked a unified data infrastructure. Their customer information was fragmented across multiple databases, limiting visibility into customer relationships. This fragmentation hindered the support for IT applications, obstructed insights, and slowed down their pursuit of new business opportunities. To facilitate business growth, a comprehensive data infrastructure modernization was essential.

LTM Solution

LTM collaborated with the client to deliver an accurate, real-time Data Infrastructure Modernization solution. We modernized their Master Data Management (MDM) system, establishing a secure data lake to centralize and protect customer data. The introduction of third-party DUNS enrichment further enhanced customer information and compliance for export control. Through a modern data strategy, LTM provided advanced business intelligence reports and analytics, enhancing data visualization and enabling the generation of valuable insights.

Opportunities

Key opportunities identified for improvement included:

  • Consolidating customer information fragmented across various databases.
  • Offering modernized, advanced support for both business and IT development.
  • Providing enriched customer data via the Data Universal Numbering System (DUNS) for enhanced export control.
  • Ensuring compliance with data protection regulations.
  • Implementing a robust data infrastructure modernization strategy for distributed value creation.
  • Leveraging business intelligence reports and advanced analytics after migrating data to the existing data lake.
  • Achieving cost savings by streamlining the information systems portfolio.

Our approach

The cornerstone of our approach was the implementation of the QING (Quality, INformation, Globally) program, based on IBM’s cloud-based managed services. This solution included three main components:

  • ETL (Extract, Transform, Load)
  • MDM (Master Data Management)
  • BPM (Business Process Management)

The QING program was designed to deliver accurate, up-to-date information, boosting sales, after-sales services, and overall service delivery. Additionally, the solution was utilized for various use cases such as Export Control (Know Your Supplier), compliance, and customer 360 analytics.

Business Benefits

  • Enhanced data performance, capable of processing 35 API requests per minute through the advanced client MDM system.
  • Customer verification across 20 applications/systems within the MDM application.
  • 50 markets adopted the MDM system as their master source for data management
  • Decreased batch cycle times from 30 hours to 12 hours, cutting down waste and maintenance costs.
  • Centralized DUNS enrichment, minimizing redundancy and driving cost efficiency.
  • Significant savings in hosting and administration costs.
  • Reduced duplicate customer records across all sources, improving overall data quality.

Conclusion

The client’s partnership with LTIMindtree exemplifies how Data Infrastructure Modernization and a robust Master Data Management (MDM) system can transform data handling and business performance. By centralizing customer data, enhancing data visualization, and leveraging advanced analytics, the client improved data performance, reduced costs, and minimized redundancies. This collaborative effort not only strengthened their operational efficiency but also positioned them for future scalability and compliance with global data regulations, showcasing the value of a modernized, secure data ecosystem.

Visit us at https://www.ltimindtree.com/industries/manufacturing/automotive/ to know more about our advanced Data Infrastructure Modernization Automotive Solutions

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Case Study
calendar June 3, 2024
Modernize Your Workloads on Snowflake with PolarSled
David Althoff
Chief Business Officer, Insurance

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