When organizations discuss media data harmonization, the conversation usually begins with technical capability.
Can we build it?
For many enterprises, the answer is yes. They already have cloud infrastructure, engineers, governance teams and established data product standards. Building an ingestion pipeline or creating an initial model is rarely beyond their reach.
But technical feasibility is not the most important question; the better question is: Do we want our internal teams to own this responsibility forever?
As discussed in our recent webinar, "Connecting the dots to unlock the full value of your media and sales data", the engineering effort isn't the hard part. The hard part is that the work is permanent and specialist.
External media and market data behave differently from most internal data domains. Data providers introduce new measurements to reflect emerging channels. Methodologies are refined. Historical data may be restated as better information becomes available. Retail hierarchies, geographies, access methods and country-specific measurement evolves.
This volatility is not a failure of providers. It is inherent to an industry that must keep pace with changing markets, consumer behavior and technology.
The diagram illustrates the challenges of comparing brands and countries due to fragmented differences in media execution, sales performance, and investment data, highlighting the need for a consistent and granular approach to data collection across various platforms and time periods.
AI-generated content may be incorrect.
For the organization receiving the data, however, every change creates work. Someone has to assess the update, maintain mappings, preserve lineage, align the new structure with internal hierarchies and confirm that downstream users still see a dependable view. In media, that obligation expands as retail media networks grow, platforms introduce new formats and algorithmic buying accelerates the pace of activation.
A solution may begin as a project but the work does not end when the project does.
Redslim’s 2025 industry research found that 80% of interviewed CPG and Consumer Healthcare brands used external providers for data harmonization, while only 16% were internalizing the capability. The same study reported that companies taking the work in-house spent, on average, more than €4 million to establish the process, and 99% more than companies using Redslim for equivalent scope.
The figures matter, but cost is only one part of the decision. The less visible cost is lost opportunity.
Every specialist assigned to maintain external vendor mappings is unavailable to build an internal data product, enable a priority AI use case or improve how the business responds to customers and consumers. Marketing and insights teams also pay the price when analysts become custodians of reporting pipelines rather than interpreters of market change.
This is why “can we build it?” is too narrow. The strategic question is asking where scarce specialist effort can create the greatest competitive advantage.
A managed service does not need to mean handing away ownership. The stronger model is one in which the client retains its data, business rules, priorities and infrastructure, while a specialist partner absorbs the continuous operational work.
Redslim’s role is not to replace data teams or platforms. Nor is it to deliver a finite integration project and walk away. Redslim produces and maintains external data products within or aligned with the client’s stack.
Those products follow the READY standard: Reliable, Explainable, Adaptable, Discoverable and Yours. The “Yours” matters because the data remains in the client’s environment. The managed service keeps it READY as sources evolve.
READY also has a practical consequence: composability. When external data products are governed to the same standard, they can be combined without recreating bespoke integration work for every new question.
For marketers, this means that adding an emerging media source, retailer dataset or market feed does not have to trigger another foundational rebuild. Teams can assemble media and sales data to compare trends, examine media intensity, support cross-market discussions or prepare inputs for more advanced analysis.
The goal is not to claim that outsourcing makes every commercial answer immediate. It is to create a more adaptable foundation and free up internal teams to focus proactive decision making and drive commercial success.
External data will keep changing. The build-versus-buy decision should therefore be based not only on who can create the pipeline, but on who is best placed to sustain the discipline behind it.
Watch the webinar on demand to hear Redslim’s Business Development Director (APAC), Steven Lindsey, and Global Commercial Director, Nils Thott discuss how manual reconciliation affects media decision-making and why continuous data stewardship matters as the landscape evolves.