• Case Study

Development Impact Bonds support quality education in India

  • Source : Michael and Susan Dell Foundation
This case study from the Michael and Susan Dell Foundation highlights how Development Impact Bonds (DIBs) are being utilized to support quality education initiatives in India. It showcases how these innovative financing tools incentivize outcome-driven results, aligning private investment with sustainable development goals in the education sector. The study illustrates the DIB mechanism’s potential to improve learning outcomes and increase access to quality education for underserved populations by focusing on measurable impact.
  • Case Study

Blended finance in the SDG Era

  • Source : UNDESA
  • September 2025
This document summarizes key discussions from a UN Department of Economic and Social Affairs (UNDESA) workshop focused on blended finance in the era of the SDGs. It captures shared challenges and opportunities identified by participants from governments, the UN system, civil society, and the private sector. The report outlines common issues, including the critical need for better impact measurement tools, effective risk management strategies, and enhanced institutional capacity. It concludes with recommended actions to better integrate and mainstream blended finance approaches into national SDG strategies.
  • Case Study

Blended Finance in the Private Sector Context

  • Source : World Economic Forum
This primer provides a foundational overview of blended finance within the context of private sector development, framing it as a redefinition of public-private cooperation. It outlines the roles of different stakeholders, key financial instruments, and the ecosystem drivers necessary for success. The paper emphasizes the enabling conditions required to scale blended approaches, including effective policy coordination, innovative risk absorption mechanisms, and standardized measurement frameworks. It serves as a guide for public and private actors on collaborating effectively to channel capital towards inclusive and sustainable growth.
  • Case Study

Better Finance Better World

  • Source : Blended Finance Taskforce
This flagship report from the Blended Finance Taskforce presents a strategic roadmap for mobilizing private capital at scale to achieve the Sustainable Development Goals (SDGs). It argues for a fundamental shift in the financial system, advocating for the strategic use of concessional development finance to de-risk and attract commercial investment into impactful projects. The report outlines actionable recommendations for creating enabling policy environments, developing pipelines of bankable projects, and establishing robust governance frameworks. It emphasizes the necessity of collaboration between public, private, and philanthropic actors to bridge the global financing gap.
  • Media Article

Data Preparation, Enrichment, and Performance

  • Source : Yellowfin BI
This guide from Yellowfin outlines best practices for ensuring high-quality data in business intelligence (BI) systems, focusing on the entire data preparation pipeline. The article explains the steps involved in collecting, cleansing, transforming, and enriching raw data to make it suitable for analysis. It stresses the importance of data governance, clear documentation, and streamlined workflows in optimizing BI outcomes. The guide also provides strategies for improving the performance and accuracy of BI systems, ensuring that organizations can derive actionable insights from their data.
  • Paper / Report

Data Quality Review

  • Source : Measure Evaluation
This article proposes an integrated approach to data quality review, combining verification and feedback mechanisms. It is particularly useful for health programs and routine data systems, ensuring that the data collected is accurate and reliable for program planning and evaluation. The article emphasizes the importance of ongoing data quality assessments and continuous improvements, which are essential for maintaining high-quality data throughout its lifecycle. By integrating verification and feedback processes, organizations can address data quality issues promptly, ensuring that the data used in decision-making is of the highest quality and supports effective program outcomes.
  • Media Article

Recommended Practices for Data Management and Quality

  • Source : DNV
This article outlines recommended practices for data management and quality, focusing on governance, validation, and continuous improvement. It emphasizes the importance of implementing robust data governance structures that ensure data integrity, accuracy, and accessibility. The article explores strategies for validating data at various stages of its lifecycle and suggests continuous improvement practices that help organizations maintain high data standards over time. By adhering to these recommended practices, organizations can ensure that their data management systems support effective decision-making and lead to better outcomes across sectors such as healthcare, development, and public policy.
  • Blog

HOW WILL WATER MANAGEMENT LOOK IN 2030 USING DATA ANALYTICS?

  • Source : Spiral Data
This article forecasts the future of water management in 2030, emphasizing the transformative role of data analytics. It predicts a shift towards highly intelligent, interconnected systems that leverage real-time data from sensors and IoT devices for proactive monitoring of water quality, leakage detection, and consumption patterns. Data analytics will enable predictive maintenance for infrastructure, optimize water distribution, and support smart irrigation practices, reducing waste and ensuring sustainable supply. The vision includes AI-powered decision-making tools that enhance resilience against climate change impacts and facilitate equitable water resource allocation globally.
  • Blog

How to use talent data for better decision making in Venture Capital and Private Equity

  • Source : Wisnio
This article outlines how leveraging talent data can significantly improve decision-making processes in Venture Capital (VC) and Private Equity (PE) firms. It explains how analyzing qualitative and quantitative data on leadership teams, organizational culture, and employee performance provides a deeper understanding of a company’s potential. Data-driven insights help identify strong leadership, assess team cohesion, and mitigate risks associated with human capital. This approach enables VC and PE investors to make more informed investment decisions, optimize portfolio company performance, and drive long-term value creation by strategically managing talent.
  • Blog

How Is Data Science Being Used to Tackle the Global Problem of Clean Water?

  • Source : Discover Data Science
This article explores how data science is instrumental in addressing the global clean water crisis. It details how data-driven approaches enable efficient water resource management, including monitoring water quality, detecting leaks in infrastructure, and predicting demand. By analyzing diverse datasets from sensors, satellite imagery, and consumption patterns, data scientists can identify contamination sources, optimize distribution networks, and implement targeted conservation strategies. The insights derived help authorities and organizations make informed decisions, improve water accessibility, and ensure sustainable water supplies for communities worldwide, significantly contributing to public health and environmental well-being.
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