Optimisation
Sustainability advanced analytics
Use advanced analytics to accelerate business sustainability performance, reduce carbon emissions and lower your costs
Book your ESG Optimiser demo hereData analysis informs decision making to accelerate performance, and improve results
Advanced analytics helps your business identify areas for improvement, by analysing data related to energy consumption, waste production, supply chain efficiency, carbon emissions, and much more.
By gaining deeper insights, companies can make strategic decisions to reduce their environmental footprint, enhance business sustainability, and reduce overall costs.
Fundamentals of advanced analytics for sustainability
Utilising advanced analytics your business can gain valuable insight into your environmental impact, identify areas for improvement, and take data-driven actions to achieve your sustainability objectives.
Diagnostic analytics
Understanding why past performance has happened, especially the root causes, is a fundamental starting point to immediate improvement. Analysis will identify areas of weakness, providing instant opportunity to take remedial action.
Predictive analytics
Identifying and modelling what will happen based on in depth data and stakeholder analysis, enables the correct choice of next actions. Being able to adjust variables and calculate the resultant impact of different strategies allows a business to select the most cost-effective routes to sustainability improvement.
Prescriptive analytics
Executing a chosen strategy demands stakeholder buy-in and often financial support. Utilising multiple data sources, factoring in time, resource and risk considerations, enables project planning that incorporates day to day business realities.
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Key outputs and benefits
Impact analysis
Understand your drivers of sustainability and the biggest areas of impact internally and externally for your business, including financial impact
Climate transition plan
Use extensive stakeholder engagement and multiple data sources, to identify practical routes to decarbonisation, with tangible plans anchored in business reality
Sustainability transition plan
Focus on key areas identified through data analytics, that will have the biggest impact on your business
Use predictive analytics to understand outcomes and prescriptive analytics to identify the right actions to achieve faster results
Forecast future trends and anticipate changes in demand, resource availability, and market conditions, ensuring you are able to make proactive adjustments to your strategy.
Calculate benefits of improvement actions and prioritise for highest impact
Forecast impact of business actions for right first-time performance improvement
Use plans and forecasts to maximise stakeholder engagement and buy-in
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Frequently asked questions
What is advanced analytics in the context of business sustainability?
Advanced analytics refers to the use of complex techniques and tools to analyse large datasets, extract valuable insights, and make informed decisions. When applied to business sustainability, it involves using these methods to assess environmental, social, and economic factors to enhance a company’s sustainable practices and outcomes.
How can advanced analytics contribute to improving business sustainability?
Advanced analytics can help businesses identify areas for improvement in their sustainability efforts by analysing data related to energy consumption, waste production, supply chain efficiency, carbon emissions, and more. By gaining deeper insights from these data points, companies can make strategic decisions to reduce their environmental footprint and enhance overall sustainability.
How can predictive analytics enhance business sustainability efforts?
Predictive analytics uses historical data and statistical algorithms to forecast future trends. In the context of sustainability, predictive analytics can help businesses anticipate changes in demand, resource availability, and market conditions. This enables proactive adjustments to supply chain strategies and production processes, minimising waste and environmental impact.
How does real-time data analytics contribute to business sustainability?
Real-time data analytics provides up-to-the-minute insights into a company’s operations. This enables quick identification of inefficiencies, allowing for immediate corrective action. For instance, real-time monitoring of energy consumption can highlight spikes in usage, leading to timely adjustments and energy savings.
Can advanced analytics help with measuring and reporting sustainability goals?
Yes, advanced analytics can provide accurate measurements of key sustainability metrics, such as carbon emissions, water usage, waste generation, and more. This data is essential for transparent and accurate sustainability reporting, demonstrating a company’s commitment to stakeholders and regulatory compliance.
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Let’s chat!
If you’d like to chat with us to see how we can help you achieve your sustainability goals, including measurement, reporting and compliance, just pick a time that suits you in Peter’s calendar.
Review your sustainability objectives, challenges and see which platform modules would match your needs.
Get in touchLet’s chat!
If you’d like to chat with us to see how we can help you achieve your sustainability goals, including measurement, reporting and compliance, just pick a time that suits you in Peter’s calendar.
Review your sustainability objectives, challenges and see which platform modules would match your needs.
Related modules
Sustainability diagnostic assessment
Rapidly analyse your current state of readiness and capabilities
Sustainability target setting and tracking
Set and track your carbon-reduction targets to speed decarbonisation
Sustainability programme tracking
A single platform to capture and report ESG and sustainability data