We harness geolocation data to deliver a comprehensive understanding of human behaviours such as patterns and movements within various locations across the UK.
Find out more How is CSE using Experian data and insights?
Overview: Empowering emission insights: Harnessing data for a greener tomorrow
Utilising ConsumerView and Mosaic datasets to develop actionable insights
When developing the ‘Impact Community Carbon Calculator’, The Centre for Sustainable Energy (CSE), in collaboration with the University of Exeter’s Centre for Energy and the Environment, utilised Experian’s ConsumerView and Mosaic datasets.
Designed for use by parishes, wards, district councils and unitary authorities, the tool needed to consider the myriad of household compositions, consumption patterns, and lifestyles present in different areas when calculating the community’s carbon footprint.
Challenge overview
CSE recognised the complexities in estimating a community’s carbon footprint, given the myriad of household compositions, consumption patterns, and lifestyles present in different areas.
To create an estimator that could resonate authentically with the specific nuances and unique carbon imprint of each community, there was an evident need for robust, granular data that provided insights into consumer behaviours.
Designed for use by parishes, wards, district councils and unitary authorities, the tool draws on more than 30 datasets to estimate the total amount of greenhouse gases produced directly and indirectly because of everyday human activities in the given locality – heating homes, using electricity, transport, producing and distributing food, disposing of waste, etc.
Challenges
- A better understanding of UK household composition
- Property-level data and utilities information to inform calculations
- A dataset that could be integrated with wider data sources
View Centre for Sustainable Energy Profile
Company Bio:
CSE is a national charity supporting people and organisations across the UK to tackle the climate emergency and end the suffering caused by cold homes. It does this by sharing knowledge, practical experience and policy insights.
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|---|---|
| Established: | 1979 |
| Sector: | Non-profit/Charity Sector |
| Specialism: | Sustainable Energy Solutions |
| Location: | Bristol |
We recognised the need for accurate, tailored data to drive our carbon reduction initiatives. Experian’s ConsumerView and Mosaic datasets were pivotal in refining our Impact Community Carbon Calculator. The granularity and depth of insights we gained have empowered our community actions. We are now not just working hard, but also working smart in our fight against climate change.
Solution overview
Choosing Experian’s ConsumerView and Mosaic datasets was the turning point for development of the Impact Community Carbon Calculator. These datasets offer a wealth of consumer data, making it possible to delve deeper into consumption patterns. The primary dataset, Experian’s Mosaic Segmentation, offers a geodemographic breakdown of households into 15 groups and 66 types, based on a plethora of data sources. With this, users can dive into around 250 topics to better understand household attributes.
Complementing the Mosaic data is Experian’s ConsumerView dataset, which was critical in linking data from the various surveys used to estimate emissions to the Great Britain-wide household level dataset that CSE developed.
Variables extracted from this dataset included: Age of the household head; Household’s composition; Number of adults and children in the household; Property specifics such as number of bedrooms, residence type, property age, and tenure; Essential utilities information like mains gas connection.
Using the amalgamation of data from Experian and the Energy Performance Certificate (EPC) data, the tool could precisely estimate carbon emissions emanating from energy usage in every home across Great Britain.
CSE's Calculator, bolstered by Experian’s data, has emerged as a trusted resource. Over 300 local councils and thousands of individuals have used it for insights into carbon consumption patterns.
Utilise datasets to develop action
Results
- Geo-demographic and household data
- Lifestyle data for behavioural Insight
- Property-level data to inform calculations
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