Enhanced Governance & Control

Through metadata capture and enrichment Metonomy enables:


Search & identification of anomalies


Enhanced productivity
of data teams


Trusted self-service


Improved context &
utility of enterprise


Faster migration with
reduced risk


Optimise existing
analytics applications
quickly and efficiently


Key Drivers and Use Cases

Rationale for harnessing automation when improving information utility

  • Automated metadata capture and active monitoring of data assets underpins the capabilities of Metonomy software in the support of enterprise analytics governance.

  • Complex data architectures require a range of controls to monitor and regulate data as it flows through an organisation to the point of use or consumption. Metadata management is a cornerstone to making data fabric or mesh viable.

  • Improved control is achieved through the identification of anomalies across disparate applications, tracking usage over time and determining the degree of similarity and potential duplication between elements.

  • The use of software in conjunction with processes, policies and people with specific skills provides a foundation for improved data governance.

  • Manual analysis of analytics applications is often time-consuming, frequently repetitive and always inefficient. Automation enables data teams to be more effective in optimising existing applications and more productive when migrating to new.

  • Enriching asset metadata with annotations relating to purpose, ownership or other categories and types provides context to output. Context is necessary for people to be able to understand the nature of the information they are accessing and to use it appropriately.


Efficiencies Gained

Automation provides significant efficiencies throughout the project lifecycle



Assessment & Inception

  • Automated metadata capture from source applications.  Analysis based on usage and similarity / duplication to support proposed scope for delivery.
  • Information reviewed with stakeholders to refine scope, e.g. for each application: # of assets used in most recent 18 months (if available), # of assets that have < 90% similarity (or whatever the threshold to be sufficiently unique).  Factors such as business priority of assets (e.g. regulatory) and key business processes to be supported also need to be considered.
  • Identification of data sets that are needed to support in-scope dashboards, reports, analyses & alerts.
  • The process of defining scope will be evidence-based, the result of consultation with key stakeholders and undertaken more efficiently via automation than would be the case otherwise.




  • In-scope assets to be tagged and tracked, e.g. assign status and resource for as-is application.
    Metadata acquired from analytics assets as they are developed in the target environment.
  • Information is assgned to support delivery such as status and responsible resources.
    To-be assets analysed for accuracy through development and test activities.
  • Captured metadata & applied annotations used to produce progress reports based on as-is and to-be asset status.
  • To-be analytics assets enriched with contextual metadata, e.g. purpose, owner, SME, verification.



Operations, Support & Maintenance

  • Annotations used to certify status of analytics assets, e.g. self-service dashboard approved by central IT team.
  • Analysis module used to search, explore and inspect assets for any issue reported.
  • Comparison and Usage modules employed to monitor asset inventory and identify & address emerging report sprawl.
  • Contextual metadata applied and maintained, e.g. ensure complete for new assets; owners & SMEs change over time.
  • Impact of proposed change on analytics assets assessed efficiently via automation.

Our Partners

We thrive on working with a range of partners, be it supporting Data & Analytics consultancies in the delivery of their services or with technology vendors for the purpose of metadata interoperability.

Data Strategy, Management & Governance


Whether to use Metoscope in support of services relating to Analytics governance | optimisation | migration or to resell to your clients, we want to work with consultancies that have specialist knowledge of specific Data & Analytics products and their implementation.

Technology & Independent Software Vendors


Analytics metadata captured via Metoscope can be exchanged with partner ISVs.  We support application integration and interoperability so that our technology partners can access metadata seamlessly and add further value in their own software solutions.

Advocates, Subject Matter Experts & Researchers


We hold regular briefing sessions with Data & Analytics Subject Matter Experts (SMEs) to share our product roadmap and to gain insights from SMEs on emerging requirements relating to feedback from organisations and developing trends within information governance.

Help your customers achieve improved information governance and control