Amplifon reduces complexity and costs by optimizing data governance and increasing end-to-end data visibility
From clearer data flows to more effective governance and optimized operating costs, Amplifon is making its organization more efficient and sustainable.
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THE challenge
Building a data governance framework capable of ensuring transparency and control across the entire data platform, enabling rationalization and harmonization of KPIs on a global scale.
SCENARIO
A cloud-native evolution to support global growth
Amplifon, a global leader in the hearing care retail market, operates internationally with demanding business functions and rapidly evolving analytics needs. It therefore requires a data platform capable of scaling quickly without compromising reliability or efficiency. In recent years, it has transformed its data platform, moving from a legacy environment to a modern cloud-native architecture.
The transition ensured operational continuity and enabled analytics to scale rapidly across different markets. As adoption increased across countries and functions, the focus moved beyond enablement alone, to improving efficiency, managing costs sustainably, and ensuring greater consistency in how the underlying data behind reports, KPIs, and business analysis are defined and managed.
the solution
A context platform to accelerate governance and AI
Amplifon, with the support of Target Reply, introduced a solution for Data Governance designed as a layer of visibility and governance for the entire corporate data ecosystem.
The platform ensures end-to-end observability of flows and consumption patterns, providing a clear view of how data is produced, transformed, and used. This approach allows teams to manage the architecture as a whole, moving beyond the management of individual assets or isolated reports.
Within this layer, metadata provides a reliable context for analyses supported by Artificial Intelligence. The interaction between AI and the information assets is enabled by an architecture based on MCP (Model Context Protocol), which links metadata to AI agents in a structured, governed way.
In this model, an MCP Server exposes information in a controlled manner, while specialized agents use this context to analyze dependencies, reconstruct transformation logic, and support critical activities such as troubleshooting and impact analysis. Every operation occurs in full compliance with security and governance protocols, including SSO and RBAC controls, ensuring that AI operates exclusively within the defined permission perimeter.
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HOW WE DID IT
From end-to-end visibility to streamlining, efficiency, and harmonization
With the support of Target Reply, Amplifon has structured its solution on three key pillars, designed to ensure continuity in governance without slowing down business operations:
End-to-End Visibility and Lineage: Through the scanning of metadata across the entire data platform, the solution makes the dependancies between tables, transformations, pipelines, and reports explicit. This transparency allows teams to anticipate how each change propagates through the system, optimizing the activities of troubleshooting, ticket management, and impact analysis during the development phases.
Guided Rationalization: By starting with this information, it has become possible to initiate a guided rationalization through a combined top-down and bottom-up reading. On the one hand, the report analysis based on usage and similarity (usage & similarity) allows for identifying duplications and consolidation opportunities; on the other hand, complete visibility enables mapping and decommissioning tables and pipelines no longer connected to active consumption.
Data Harmonization:Transparency into lineage and transformation logic allows for comparing KPI definitions across different countries, highlighting any discrepancies and tracing their causes. This facilitates a progressive alignment process on a selected set of indicators, where AI scales the analysis on large volumes while business and data stakeholders maintain guidance on strategic decisions.
Greater understanding of data flows and more immediate reading of dependencies and uses across the entire platform
Reduction of operational effort, thanks to faster investigations and troubleshooting and more reliable impact analysis
Solid foundation for harmonizing KPIs, making differences and calculation logics visible, comparable, and traceable
Acceleration thanks to AI, which reduces the effort needed to turn insights into actions and supports large-scale analysis
Amplifon is an Italian group based in Milan, a world leader in the hearing care retail market (solutions and services for hearing). Founded in 1950, it operates through a network of 10,000 audiology centers in 25 countries and employs over 20,600 people worldwide. It is a publicly traded company on the Italian Stock Exchange and in 2024 it recorded revenues of over 2.4 billion euros, primarily offering the sale, fitting, and support of hearing solutions and related services.
Target Reply is the Reply group company spealizing in Big Data and Advanced Analytics solutions. Target Reply supports companies from needs identification through to solution design and implementation, using data integration technologies, data modeling, predictive analytics, all while using the most innovative tools in the field of Business Discovery and Big Data. Target Reply has gained significant experience with major Italian and foreign corporate groups and is capable of operating in all major markets: Telco, Finance, and Manufacturing.