Data Asset Management


Reduce risk. Build trust. Prioritise investment in the data that matters

Data Asset Management is a lifecycle approach to unlocking the value of your data by:

  • Transforming your data from a liability to an asset.
  • Translating the impact of your data into a language the business understands.
  • Focusing investment on the data that drives growth, reduces costs, mitigate risks and builds trust with your stakeholders.

The components of the Data Asset Management lifecycle

1. Identify
  • Build a map of your data assets. See use case: identify your strategic data assets
  • Communicate where your data assets are, who uses them, and for what purpose.  
  • Understand the flow of data across your business processes and system landscape. 
  • Consolidate the principles, policies and processes that govern how your data is managed.
2. Value
  • Analyse the target outcomes for your organisation. 
  • Understand which organisational capabilities your stakeholders value. 
  • Quantify how much each of these capabilities depends on data. 
  • Put a monetary value on your data assets. See use case: understand the value of your data.
3. Condition
  • Understand your data maturity at the organisation level, and down to individual data assets. See Data Maturity solution.
  • Specify the conditions required for your data to be fit for purpose. 
  • Analyse the gap between the data you have and the data you need. See use case: mitigate data risks.
  • Translate business requirements into measurable data performance. 
4. Prioritisation
  • Focus on your most urgent and important data gaps to close. 
  • Specify new organisation capabilities and expected costs and benefits. 
  • Find opportunities to rationalise in-flight projects and consolidate good practice. 
  • Establish prioritisation criteria to optimise your data’s return on investment. 
5. Capital Allocation
  • Secure appropriate budget and buy in for all your data capabilities. 
  • Deploy the financial and organisational capital to ensure your data is fit for purpose. 
  • Embed new ways of working and incentives across your organisation. 
6. Performance
  • Establish metrics that matter to measure your data performance.  
  • Monitor your data asset condition and performance. 
  • Build data assurance into business-as-usual activities. 
7. Impact
  • Measure your stakeholder satisfaction and benefits delivered. 
  • Report data performance and return on investment. 
  • Alert your organisation to data threats and opportunities. See use case: mitigate data risks.
  • Reflect expected data performance in incentives. 
  • Challenge with confidence the projects and initiatives that are unlikely to deliver. 
Anmut can help you to design, develop and deliver all components of the Data Asset Management lifecycle, tailored to your organisation’s current and desired maturity level.

Gain the Anmut advantage

A business first approach to data

Focus on the business processes that drive value for your organisation and identify the data assets supporting these to ensure they are managed effectively.

Connect your data assets directly to your organisation’s strategic objectives so leadership understands clearly the importance of data.

Prioritise investments by understanding the impact of your data

Quantify the impact of your data so the C-suite can make informed decisions about how capital gets allocated.

System and software agnostic

By working top down, we are not limited by certain systems or software – we help you connect your data to your purpose and ensure your critical data is set up to be fit for purpose.

Self-driven, co-piloted or chauffeur driven solutions 

Whether you need help designing, developing, or deploying your Data Asset Management solution, our flexible support options can help you along this journey.

Accelerated deployment and adoption  

We’ve developed industry-specific data asset libraries to help you on your Data Asset Management journey. Grace, our strategic data asset management platform, comes with these built in and ready to use.

Customer stories

“We wanted to express the value of data and the work that we do in a language that people understand, a financial language that will help us have better conversations with our peers.”

Need help managing your data as a strategic asset?