• Paper / Report

Elite, Philanthropy and Development

  • Source : Fundação ABH
  • 1 January 1970
This report explores the intersections between elite philanthropy and development in Brazil. It delves into how philanthropic elites contribute to shaping development agendas and the implications of their involvement in influencing policy and social outcomes. The study highlights key case studies and challenges in promoting more equitable philanthropic practices.
  • Blog

Data Lifecycle Management

  • Source : Creative.onl
  • 1 January 1970
This article explains data lifecycle management and its crucial role in maintaining data quality, compliance, and usability across organizations. It emphasizes the need for a structured approach to managing data from its creation to its eventual disposal. The article outlines the key stages of the data lifecycle, including data acquisition, storage, processing, and disposal, and stresses how organizations must implement policies and processes to ensure data integrity and compliance with regulations. By focusing on lifecycle management, organizations can ensure that their data remains accurate, secure, and usable throughout its existence, supporting informed decision-making and regulatory adherence.
  • Blog

AI Metadata Extraction and Filtering from Scientific Research Articles

  • Source : CrossML Blog
  • 1 October 2024
This article discusses AI techniques for extracting and filtering metadata from scientific articles, highlighting recent advancements in natural language processing and machine learning. It explains how these AI-powered methods can improve the accuracy and relevance of metadata extraction, enabling better organization and retrieval of scientific knowledge. The article also explores how AI technologies can be applied to various research fields, enhancing data accessibility and efficiency. By incorporating these techniques, organizations can streamline their metadata extraction processes and make more informed decisions based on accurate and relevant data.
  • Media Article

Top 9 Metadata Extraction Tools for 2024

  • Source : Daminion
  • 1 July 2024
This blog provides a detailed review of popular metadata extraction software tools, including ExifTool, with a focus on their features, usability, and applications in managing metadata across various file types. The blog assesses the strengths and limitations of each tool, helping users choose the most appropriate software for their specific needs. It also discusses the importance of metadata management in maintaining the integrity and accessibility of data across digital systems. The blog is a valuable resource for organizations looking to streamline their metadata workflows, improve data organization, and enhance data retrieval processes for more efficient decision-making.
  • Paper / Report

Thoughtworks Insights Report 2024

  • Source : Thoughtworks
  • 1 April 2024
This article explores the challenges and solutions related to data quality in the digital era, with a particular focus on the integration of AI and automation in the data management process. It highlights common issues such as incomplete, inconsistent, or inaccurate data and discusses the technologies that can help mitigate these problems. AI and automation offer new ways to enhance data collection, processing, and analysis, making it possible to handle large datasets more efficiently and accurately. The article reviews industry best practices for ensuring high data quality, stressing the importance of continuous improvement in data management practices.
  • Blog

Solving the Ocean Plastic Pollution Problem With Data

  • Source : data.org
  • 1 April 2024
This blog post by Dataiku explores how data can be leveraged to tackle the pressing issue of ocean plastic pollution. It discusses how data science and analytics are employed to track plastic waste, identify pollution hotspots, understand sources, and predict dispersal patterns. The article likely highlights various data-driven initiatives aimed at monitoring ocean health, supporting clean-up efforts, and informing policy decisions to prevent further plastic accumulation, emphasizing the role of data in environmental conservation.
  • Media Article

Data Quality: Definition and Importance

  • Source : TechTarget
  • 1 March 2024
This article defines data quality and explains its importance in data management. It highlights the key dimensions of data quality, including accuracy, completeness, timeliness, and consistency, and discusses the impact that poor data quality can have on decision-making processes. The article underscores the need for organizations to implement robust data quality frameworks to ensure that their data is reliable and actionable. By focusing on data quality, organizations can improve their operational efficiency, reduce risks, and make more informed decisions, ultimately leading to better outcomes in both business and social sector initiatives.
  • Blog

Data Done Right: 6 Dimensions of Data Quality

  • Source : Smartbridge
  • 1 March 2024
This blog introduces six key dimensions of data quality: accuracy, completeness, consistency, timeliness, validity, and uniqueness. It explains the importance of each dimension and offers actionable recommendations for organizations aiming to maintain high-quality data. The blog serves as a comprehensive guide for improving data governance and operational efficiency, helping organizations ensure that their data is reliable and fit for purpose. By focusing on these six dimensions, organizations can uncover patterns, predict trends, and make better decisions based on evidence, ultimately improving their overall performance and contributing to positive social impact.
  • Blog

Data Quality Toolkit Announcement

  • Source : Rudderstack Blog
  • 1 January 2024
This article announces the launch of a new data quality toolkit designed to guarantee data quality from the source through automated checks and integrations. The toolkit aims to provide a streamlined approach to data quality management, ensuring that data is accurate, consistent, and fit for use in decision-making processes. It incorporates automated checks that detect and correct data issues at the source, reducing the risk of errors and improving data reliability. The toolkit is designed for use across a range of industries, including healthcare, development, and public policy, supporting organizations in maintaining high data quality standards.
  • Media Article

India Attacks Malnutrition With Real-time Data For The First Time

  • Source : Outlook India
  • 1 January 2024
India is combating malnutrition using real-time data for the first time through the Poshan Tracker app. This technology, part of the Saksham Anganwadi and Mission Poshan 2.0 initiatives, provides immediate insights into child malnutrition levels across Anganwadi centers nationwide. The app allows for targeted interventions, efficient resource allocation, and improved transparency in nutrition service delivery. By digitizing record-keeping and enabling real-time monitoring of over 7 crore children monthly, this initiative is a game-changer for addressing undernutrition and enhancing the health and well-being of women and children in India.
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