• 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
  • 1 January 1970
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
  • 1 January 1970
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
  • 1 January 1970
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.
  • Blog

How Data Science is Reshaping Health Care

  • Source : University of San Diego
  • 1 January 1970
Data science is fundamentally reshaping healthcare by leveraging vast amounts of data to improve patient outcomes and operational efficiency. This article details how data-driven insights enhance diagnostics, personalize treatment plans, and predict disease outbreaks. It highlights the use of machine learning for analyzing medical images, genomics, and electronic health records to identify patterns and inform clinical decisions. Furthermore, data science optimizes hospital operations, manages supply chains, and develops new drugs. These applications lead to more precise medicine, reduced costs, and a proactive approach to public health.
  • Case Study

Impact Investing: Roots & Branches

  • Source : Innovations: Technology, Governance, Globalisation
  • 1 January 2011
This article explores the origins and development of impact investing, an emerging field where private investors aim to generate both financial returns and positive social/environmental impact. It discusses the growing optimism around business as a force for good in the developing world and how impact investing offers a new approach to addressing global challenges that exceed government and donor capacities. The piece highlights the blend of financial, social, and environmental objectives in this form of investment.
  • Case Study

Sdgs, Esg and Impact Investing: the Investments India Needs to Make for a Sustainable Future

  • Source : Economic Times
  • 2 January 2022
This article discusses the critical role of SDGs, ESG, and impact investing in shaping India’s sustainable future. It highlights how integrating environmental, social, and governance factors into investment decisions can drive positive change and achieve sustainable development goals. The piece emphasizes the growing trend among investors to align financial returns with social and environmental impact, and the need for significant investments to support India’s transition towards a more sustainable economy.
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