Our methodology focuses on how people, process, and technology intersect to derive value from data. Too often, a singular focus on technology leaves other key elements for data success aside.
Our approach is a series of steps and tools that together make up the Sustainability Data Impacts Framework.
Using tried and tested good practices in data governance, the framework ties together essential data steps to help you journey through the life of your most important data. The result is clear knowledge about which data is most important, where the data lives, and how the data is used and maintained by your teams. Once you have clarity in these key areas, you will be able to articulate your data policies to share data confidently. Your teams will also have a blueprint for success with any future data opportunity or challenge.
How is the framework used?
We get practical right away by using a relevant business use case where you are experiencing data problems or see opportunities to unlock data value. We use business case data together with mapping tools and other resources to illustrate the value of good data practices while revealing data barriers and opportunities in your data management approach and workflows. The result is a clear set of actions to upgrade your data products and services such as reports, dashboards, and shared data sets into trusted assets to deliver impact.
Once we walk through the journey using these tools, you will have a repeatable process and blueprint to build stores of high quality, trusted data that your teams can use confidently.
As you tackle other data challenges and opportunities using good practice tools, a solid data management approach will offer consistent value to decision-makers and collaborators. Your organization will be enabled to harness the value of trusted data sources, data products, and data services so that you can deliver impact to sustainability funders, clients, and stakeholders.
With diligent application, data problems will no longer be a mystery. You will feel empowered to apply the tools with your teams to proactively reduce data debt and confusion.