AI-infused planning and forecasting to model, prioritize and achieve emissions reduction targets—integrated with your financial and operational planning
IBM® Envizi® Planning Analytics combines trusted ESG data from Envizi with the powerful forecasting and scenario modeling capabilities of IBM Planning Analytics. This AI-infused solution helps sustainability and finance teams model emissions baselines, explore what-if scenarios and set data-backed reduction targets. With automated transfer of ESG data from Envizi to Planning Analytics, prebuilt templates and transparent calculations, organizations can plan with confidence, meet ESG disclosure requirements and accelerate their decarbonization strategies.
Module features
With time-series AI algorithms, you can analyze and model forecasting data over time, detect seasonality and trends and enhance forecasts with automatic outlier detection and correction.
With a sandbox environment, you can work independently before writing back to the central database. By conducting "what if" analyses, you can compare emissions reduction scenarios (for example, business-as-usual, best case or worst case).
With the module's ability to analyze trends and interactions among variables, you can create nuanced emissions forecasts, including how changes in employee headcount impact electricity consumption and emissions.
With prebuilt dashboards and data structures designed specifically for emissions planning, you can get up and running quickly.
An API-based integration and automated processes transfer data from Envizi into a multidimensional database ready for use in Planning Analytics. This combined solution offers functionality more commonly found in financial planning tools, making sustainability data accessible to cross-functional stakeholders and introducing sustainability professionals to a leading planning engine.