UNDP Accelerates Research on Sustainable CBD Transformation with Dcipher Analytics

The Challenge

The United Nations Development Programme (UNDP) sought to identify international best practices for low-carbon and sustainable urban transformation of central business districts (CBDs). Their objectives were twofold:

  1. Mapping Leading Cases – Identifying CBDs worldwide that had successfully implemented sustainability initiatives.
  2. Extracting Key Performance Indicators (KPIs) – Analyzing the metrics used to measure the impact of these transformations.

Traditionally, this type of research would require months of manual literature review, data collection, and analysis—an extensive and time-consuming effort.

The Solution

By leveraging Dcipher Analytics’ AI-powered research agents, UNDP was able to streamline and accelerate their research process:

The Results

The Impact

By using Dcipher Analytics, UNDP dramatically reduced the time and effort required for this research, transforming a months-long project into an efficient, AI-powered analysis. These insights enabled UNDP to support local governments in adopting best practices for low-carbon and sustainable CBD development, driving impactful policy decisions and urban transformations worldwide.

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