Improving the quality of data to be a modern regulator

Information management and analytics strategy and implementation for EPA Victoria.

Learn how we assisted EPA Victoria’s digital transformation through the creation of an Information Management (IM) strategy, a solution architecture and a roadmap, and by implementing what is seen as the core data platform of the agency.


Data Agility and EPA Victoria have been working together since 2010. This began with EPA’s Business Services Reform Program (BSR). EPA made a strategic decision to become more client and regulatory focused.

Successful realisation of this decision was dependent on the ability to access accurate information in a timely manner to assist the decision making process.

EPA Victoria recognised they had multiple repositories of valuable information including databases, emails, spreadsheets and hardcopy documents resulting in data being lost, duplicated and difficult to access.

EPA Victoria’s ability to utilise valuable data in decision-making was therefore compromised by fragmented data management practices.

Data Agility was selected by EPA Victoria to develop an Information Management (IM) strategy to provide a roadmap for improving information and knowledge management practices and maximising the use, accuracy and effectiveness of their data.


Submit a Comment

Your email address will not be published. Required fields are marked *

Most popular insights.

A Data Roadmap

A Data Roadmap

In this article we look at one activity that’s beneficial to a data program of work – creating a Data Roadmap that aligns to your transformation program.

Are You Collecting The Data You Need?

Are You Collecting The Data You Need?

Are you collecting the data you need? Collecting more data does not necessarily lead to more useful information or better decision-making. In fact, the overcollection of data can lead to wasted resources.

Data Thinking for Organisational Transformation

Data Thinking for Organisational Transformation

Data thinking can be applied across the four pillars approach of transformation — Data, People, Process and Technology. In part 2 of our article series, we explore data thinking across all areas of organisational transformation.