We help clients establish and implement a Data Quality Framework to empower greater visibility and trust in the data across the organisation

The Quality of Data you use can have a massive impact on the decisions you make. These in turn can affect your performance, your people and your reputation in the industry. We work with our clients to measure the quality of data as it moves across your organisation to ensure its quality is preserved.

Data Quality Framework

Data Quality Framework

Everything starts with a well-defined Data Quality framework to establish the strategy, roles and measurement of Data Quality at all levels in your business.

We help clients to:

  • Define and agree Data Quality Rules to apply at all pass points and through Data Quality Dimensions.
  • Establish Roles & Responsibilities to ensure accountability between different departments.
  • Create an implementation plan to ensure a seamless transition and standardization across your firm.

Adoption and Implementation

Adoption and Implementation

PEN helps your business adopt your Data Quality framework and bring it to life. 

We help clients to:

  • Create an implementation plan and identify appropriate tools to implement your framework
  • Understand the importance of data and ensure visibility of issues at the highest level through implementing data governance
  • Embed Data Quality practices into the business and promote ownership of data
  • Address any critical data elements and apply the DQ framework to your data

Measurement

Measurement

Analysing and understanding the quality of data is very important to manage relationships with your vendors and clients.

We help clients to:

  • Create Dashboards and Reports to scorecard the quality of their data from each vendor and source
  • Set up escalation procedures and standards to follow when analysing scorecards.
  • Help you take ownership of the quality of your data and improve your vendor relationships.

Case Studies

Implementing a data strategy

We helped a large asset manager set up and operationalise data governance and management across the business