Data Maturity Assessment

Building a Roadmap to manage your Data effectively

Data is a strategic asset for organisations to drive informed decision making, evidence based policy making, digitisation of services and innovation through insights.

Data maturity is the extent to which an organisation utilises the data they produce. The more data is utilised by an organisation, the more data mature they are.

Data Maturity Assessment provides the best practices roadmap to help organisations manage their data effectively. The assessment helps organisations implement an evolved data strategy and solution to transform their data analytics processes to deliver business insights consistently.

It helps organisations move from data rich to insight rich and enables Data Management as a corporate capability.

Benefits linked to Data Maturity Assessments

A greater awareness and appraisal of data and data activities within an organisation, addressing key elements of data management such as processes, procedures and standards.

A greater understanding amongst staff of concepts, principles and practices of data management.

A standard, uniform approach by which an organisation’s performance around data management can be assessed and re-assessed (in the future), in order to identify track implementation of improvements.

An assistance in the identification of gaps/opportunities or potential risks that exist in current data management processes and procedures.

Structure of a Data Maturity Assessment

These 11 interconnected components follow the DAMA Data Management Book of Knowledge 2.0 (DAMA-DMBok) and touch on important components of Data Management.

Data Governance

Data Storage and Operations

Data Modelling & Design

Metadata

Data Architecture

Data Security

Data Warehousing & Business Intelligence

Reference & Master Data Management

Data Quality

Document and Content Management

Data Integration & Interoperability

Data Maturity Scale

The assessment enables your organisation to position itself on the maturity scale, reflecting on current maturity level and setting a target for the future.

The image below shows the five progressive maturity levels linked to an organisation. In isolation, they are not that meaningful, but contrasting the current maturity level and the target help drive priority areas of work.

Derilinx Action Planning Workshop

Linking current capability level and target for the future, the action planning workshop will help identify and prioritise key initiatives that will drive improvement in data maturity and deliver tangible benefits.

Our Approach to Data Maturity Assessment

A thorough evaluation of an organisation’s current data management and usage practices, aimed at identifying the level of data maturity and areas for improvement, in line with OGCIO guidance.

The Challenge

  • The organisation has a lack of knowledge on how well it is doing at managing data.
  • There is uncertainty about what “good looks like” when it comes to data management.
  • The staff have low awareness or literacy of the key areas of data management.
  • There are no defined and adhered-to data governance processes, policies and roles.

 

The Process

  • We will lead your staff through a standardised questionnaire, based on OGCIO guidance.
  • We will discuss the results with the staff, understanding the context behind their answers.
  • We will analyse the results of the completed DMAs, looking at how the differ.
  • We will conduct the reporting and deliver the results and recommendations to you.

 

The Benefits

  • The analysis will be comprehensive an actionable by using a standardised DMA template.
  • You will be supported with the written and in-person guidance and explanation of DMA background and strategy.
  • You will visually see the outcomes through our analysis and plotting of the results.

 

You might also be interested in other Data Management Services

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Find opportunities to enhance your data journey with data science and AI, create a clear plan for publishing your data and improving your data management, and develop an organisation-wide data strategy.

Do you have questions or want to learn more?