One Database. One Truth. 15 Markets.

The Challenge

The after sales department of a global automobile manufacturer had done the hard strategic work: it had defined more than 100 key performance indicators to manage its service and spare parts business worldwide. The ambition was clear — a common understanding, a common approach, and comparable performance data across every country and region the organization operated in.

The data to make that possible existed. The problem was that it existed in entirely different systems, structured in entirely different ways, across entirely different operations. Every market had its own dealer management systems, its own counting methods, its own local standards. Making all of that flow into a single unified platform was not a technology project. It was an organizational and data transformation that required coordinating dozens of stakeholders, resolving hundreds of inconsistencies, and building the governance structures to make the result sustainable.

For the European rollout, covering 15 National Sales Companies and their dealer networks, the client turned to change2target to lead the program management and ensure a complete and sustainable go-live across all markets.

The Approach

Mapping the Gap Between Ambition and Reality

Before any implementation could begin, the actual distance between the current state and the target needed to be understood precisely. change2target conducted a structured discovery phase to identify gaps between existing systems and the future global architecture, clarifying business drivers, stakeholder requirements, and the technical implications of each.

From this, a comprehensive KPI matrix was developed, detailing every required data element in terms of its source, granularity, interrelation with other metrics, functional dimensions, and ownership. This gave the project team a definitive map of what data was available, what was missing, and what needed to be created, transformed, or connected before the unified dashboard could operate correctly.

Connecting the Data

The unified system drew on five categories of operational data: repair orders, parts invoices, wholesale and over-the-counter transactions, used vehicle inventory, and service appointments. Each of these data streams had to be connected from individual Dealer Management Systems across 15 markets into a central data lake, with real-time interfaces replacing the fragmented and often delayed reporting that had existed before.

change2target oversaw the quality control of output data throughout the installation phase, verifying that data flowing from dealer systems into the global platform was accurate, plausible, and consistent with business reality. With deep knowledge of after sales operations, the team was able to conduct business-grounded plausibility checks rather than relying on technical validation alone.

Enabling a Successful Go-Live

The go-live phase was managed as its own distinct workstream, given the operational risk that any inconsistency in data quality at launch would undermine confidence in the entire system. The focus during this period was threefold: resolving data transmission and quality issues in real time, training all relevant users within the National Sales Companies and among system owners, and developing a longer-term framework for ongoing data quality improvement that would remain in place after the initial launch pressure had passed.

Coordinating user acceptance testing with the global development team ensured that the European requirements were fully reflected in the final system and that local differences in standards, languages, and processes had been addressed before deployment.

Building Capability Across 15 Markets

One of the most demanding elements of the rollout was ensuring that the people responsible for using and maintaining the system in each market were genuinely prepared for it. change2target developed and delivered training programs for all 15 National Sales Companies and for dealers across the respective markets. This was not a standardized rollout. Each market required its own communication approach, its own sequencing, and its own support structure to absorb the changes effectively.

The Results

The global unified reporting system was implemented successfully across all 15 European markets within the planned timeframe. For the first time, the client had a single, consistent view of its after sales performance across the continent, with near real-time data flowing from dealer networks through a standardized interface into a shared analytics platform.

The unified dashboard provided the client with an effective instrument for monitoring dealer markets, supporting business growth initiatives, and tracking customer loyalty programs with a level of consistency and comparability that had not been possible before. Improved data transparency across all European sales entities strengthened the ability to identify market trends and allocate marketing budgets with greater precision.

The project also reinforced a lesson that consistently proves true in large-scale data programs: the hardest part is never the architecture. Bringing together diverse data from systems built by different companies, in different countries, with different conventions, in a way that is coherent and trustworthy, demands sustained effort in interface management, data validation, and organizational alignment. The technical infrastructure is only as valuable as the human infrastructure built around it.

Key Takeaway

For executives managing global operations, the ability to compare performance across markets is a fundamental strategic advantage. Without a unified data foundation, every conversation about regional performance becomes a negotiation about whose numbers are correct rather than a discussion about what to do.

Building that foundation requires more than connecting systems. It requires agreeing on what metrics mean, ensuring the data feeding them is trustworthy, and preparing organizations in every market to work with the result in a consistent way. Companies that invest in that organizational layer get the most from their data infrastructure. Those that treat it as a purely technical deployment rarely do.