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Case Study

From fragmented data silos to a central product data platform — how Elsner Elektronik modernized their content supply chain

Elsner Elektronik, a manufacturer of building automation solutions, faced a classic problem: Product information was distributed across various systems and files. Marketing, sales and product management worked with different data levels, which led to increased maintenance costs, inconsistencies and long publication cycles.

Elsner BX8 KNX Blind Control Extension device in front of a facade with exterior blinds

The symptoms were clear

  • Product data fragmented across ERP, Excel and various file systems
  • Different data sets in different departments
  • Long time-to-market for price lists and technical documents
  • Manual correction loops and double data maintenance
  • No central quality control

The trigger: Why now?

Three factors required action:

  1. Efficiency requirement: Marketing, sales and product management needed a common, reliable data source
  2. Quality printing: Incorrect or outdated product information damaged the brand
  3. Scaling requirement: As the product range grew, manual management became impossible

The approach: Three phases of a modern content supply chain

Phase 1: Analysis and system development (weeks 1—4)

First, the entire product data landscape was analyzed:

  • Data source mapping: All systems and files were inventoried
  • Requirements analysis: Clarifying the needs of marketing, sales and product management
  • AdvaStamedia setup: Installing and configuring the PIM system
  • data modeling: Structured, practicable data model developed
upshot: Clear overview of the data world and a functioning PIM system

Phase 2: Integration and Governance (weeks 5—8)

The systems were brought together:

  • ERP connection: Robust interface to ERP built
  • Requirements analysis: Master data is automatically imported and checked
  • AdvaStamedia setup: Clear rules defined for data consistency
  • data modeling: Clear responsibilities defined
upshot: Master data flows automatically, without double maintenance

Phase 3: Automation and go-live (weeks 9—12)

The outputs were automated:

  • Excel price lists: Automated generation of price lists
  • Technical documentation: Automated exports for documentation systems
  • Hypercare phase: Active support during the first few weeks
  • Monitoring and KPIs: Defined key figures for sustainable operation
upshot: Production-ready exports, stable go-live in December 2025

The results: measurable and sustainable

Single Source of Truth established

  • Marketing, sales and product management access a common source
  • No more data inconsistencies between departments

Continuous data chain

  • ERP master data is imported automatically
  • No more manual correction loops
  • Transparent logging of all data changes

Automated outputs

  • Excel price lists are generated automatically
  • Technical data for documentation systems is exported automatically
  • Release cycles significantly reduced

Scalability for the future

  • The system is designed to be easily expanded to include additional channels, formats or languages
  • Roadmap for fully automated product data sheets and digital product passport is defined

What made that possible? Proof Points

Service & methodology:

  • End-to-end advice from analysis to operation
  • Structured data model that combines practice and standards
  • Hypercare phase for safe go-live

Technical integration:

  • Robust ERP connection with automated data verification
  • Validation rules and monitoring
  • Documented processes and defined KPIs

Sustainable solution:

  • Clear roles and responsibilities
  • Transparent processes and protocols
  • Design for future requirements (DPP, additional channels)

Faster time-to-market with reliability and scalability

The results already show significant efficiency gains: Processes from data entry to publication have become noticeably leaner, responsibilities have been clearly defined and manual activities have been reduced to a minimum. Versioned data sets and traceable protocols create transparency and security — both internally and vis-à-vis external partners. At the same time, the setup is structured in such a way that it can easily be expanded to include additional channels, formats or languages in the future.

The message for you

If you're also struggling with fragmented product data — when your departments work with different sets of data, when publications take a long time — then it's time for a central solution.

The good thing: With a structured approach (Analysis → Integration → Automation), you can build a modern content supply chain in 12 weeks and immediately achieve efficiency gains.

With advastamedia, we have turned distributed data into a powerful, centrally controllable content supply chain — noticeably faster, noticeably more secure.
Marketing project responsibilityElsner Elektronik

Roadmap to fully automated product data sheets and digital product passport

The outlook also shows how profoundly the transformation will continue. The plan includes the fully automated creation of product data sheets and declarations of conformity — rule-based, versioned and with audit-proof filing. In parallel, DPP readiness is being developed: initial structures and attributes for the digital product passport, including validation rules and defined derivations for partner platforms. Step by step, advastamedia is becoming a central content hub for all product information.

We analyse your current data situation, identify your biggest levers and show you how quickly you can arrive at a central, automated solution.

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