Data Capture

"Data about Daisy is needed to drive aspects of our ESG ambitions. We must be able to demonstrate the claims that we make and any successes and report failures that we have. All of these represent learning opportunities to ourselves and our stakeholders."
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In any stated environmental and social goal, we need to meet the thought process of Measurable, Repeatable and Verifiable (MRV). MRV is a long-term standard for the focus of data on climate change, and the rigour attached is what we will be applying in our data collection.

We must identify progress in a series of critical areas supporting our environmental commitments as part of UN-Compact. That means developing initiatives that encourage greater environmental responsibility. This responsibility requires understanding impacts and ensuring that greenwashing is not occurring.

The data collation referred to here is for general management use and enhanced technical understanding of environmental and social impacts. This data relates to where products are manufactured and materials sourced, and it further contains how this sourcing occurs.

There is a growing understanding of the use of scenarios to form TCFD (Taskforce for Climate-Related Financial Disclosures) analysis. An extensive range of existing climate scenarios is applied, with differing assumptions attached to timeframes, temperatures, overshoot opportunities and geoengineering technologies.

All of these areas require working in partnership with others. These partners include traditional competitors. Partnering like this is needed to explore areas of mutual concern that are in the planet’s best interest. It means addressing and removing negative environmental and social impacts that may be made.

The crucial issue relates to how the data is used. It is much like technology. The true art is not in what the tech is or what it does – it is how well you use it. Data is much the same as technology in this regard. It means developing the use of dashboards. The development means making them interactive, permitting ‘what-if’ analysis. This analysis will enable the relative benefits of approaches to be understood.

It is here that the use of the precautionary principle becomes particularly salient. If social or environmental harm is deemed likely to result from a given action, then the precautionary principle guards against doing it. This is one of the procedures underpinning UN-Compact. Here, decisions should be made that do not warrant additional testing. A clear example is if one device has a known lower energy consumption than the incumbent, the precautionary principle will direct the use of that new product as known harm will occur by staying with the incumbent.