Data Ecosystem Assessment & Rationalization
From fragmentation to control: map, clean up, and rationalize your data environment
Many companies hold vast volumes of data fragmented across departmental silos: too many overlapping tools, integrations that are hard to maintain, incomplete metadata and lineage — and data that is not ready for analytics and AI. The Data Ecosystem Assessment & Rationalization is the first step out of the chaos. We analyze and clean up the data environment, remove overlapping tools, and define a more integrated, sustainable architecture. It is the diagnosis from which modernization starts.
The service in brief
- Service
- Analysis and rationalization of the data ecosystem: tools, platforms, integrations, metadata, and lineage.
- When you need it
- Data is fragmented across silos, tools overlap, and there is no coherent, governed view.
- R.O.C.E. phase
- Control: the third phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
- Role
- The starting point for this area: the diagnosis that integration and modernization derive from.
- Scope
- Data tools, data platforms, integrations, sources, data quality, metadata, and lineage.
- Output
- A snapshot of the ecosystem and a rationalized target architecture, with an action plan.
- Distinct from
- Modernization itself (Data Platform Modernization) and integration (Data Integration & Virtualization).
Data as a burden, not an asset
The service fits when data fragmentation slows the business, multiplies tools, and makes data unreliable or unfit for AI.
Bringing order to the ecosystem
Tool inventory
We map existing tools, platforms, sources, and integrations: what exists, who uses it, what overlaps, and what is redundant.
Deduplication and rationalization
We remove overlapping tools and duplication, reducing complexity, costs, and points of failure in the ecosystem.
Integrated architecture design
We define a more integrated, sustainable data architecture — coherent and ready for analytics and AI — with a transition plan.
From fragmentation to control
Before modernizing your data, you need to know what you really have.
Success stories
Documented Miriade work that brought order and coherence to fragmented data ecosystems.
Central database for an Italian local health authority
Fragmented management of its information assets was slowing down a large Italian local health authority.
Learn more Case studyETL with data governance tools
Bringing legacy systems and new technologies together in governed, reliable ETL flows.
Learn moreThe technologies we use
Some of the technologies and platforms we work with on this service.
From fragmentation to a governed ecosystem
The assessment is the starting point: data integration, virtualization, and modernization derive from the ecosystem map.
Data Ecosystem Assessment & Rationalization
Analysis and rationalization of the data environment: fewer tools, more coherence.
You are hereData Integration & Virtualization
Integration and virtualization: a unified data layer without replication.
EvolveData Platform Modernization
Modern architectures (Data Fabric, Data Mesh) to break down silos.
EvolveAI-Ready Data & RAG Enablement
Data, documents, and knowledge bases ready for LLMs, RAG, and AI agents.
EvolveCloud Migration & Optimization
Migration and optimization of data, applications, and workloads in the cloud.
Frequently asked questions
How is it different from Data Platform Modernization?
The assessment diagnoses and rationalizes the existing ecosystem. Modernization builds the new platform. The first prepares the second.
What do you deliver at the end of the assessment?
A snapshot of the data ecosystem, a rationalized target architecture, and a transition plan with priorities.
Does it solve fragmentation right away?
It is the first step: it brings order and defines the plan. Implementation then follows through integration, virtualization, and modernization.
Does it also cover data quality and lineage?
Yes. We map metadata, origin, and data lineage as part of the assessment, because without trust in the data there is no governance.
Is it useful from an AI perspective too?
Yes. A rationalized, reliable ecosystem is the necessary foundation for analytics and AI to rest on solid data.
How does it start?
With an inventory of tools, sources, and integrations, and the issues you want to solve. From there, we build the map and the plan.
Want to turn your data from a burden into an asset?
Tell us what your data ecosystem looks like today and what is holding you back. The assessment gives you a clear snapshot and a rationalized target architecture, with the priorities to get there.
Let's bring order to your data ecosystem
Tell us what your data environment looks like today and what is holding you back: tools, integrations, silos. We give you a clear snapshot and a rationalized target architecture.
We use the data you submit only to contact you about this request.
