Data Digest
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Alation Launches Salesforce Connector to Enhance Data Trust
We are excited to announce a new strategic partnership with Salesforce. This partnership will bring data governance and deep insights around data lineage into Salesforce Data Cloud. With this bidirectional integration, Alation joins the Salesforce Data Governance alliance.
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How to Choose the Best Enterprise Data Catalog: Key Criteria Uncovered
It's analyst report season! In the next few months, analyst firms will provide guidance on how to approach the data catalog market and key criteria for choosing a data catalog. These reports can be helpful starting points. But they should be just that: a starting point. With over 12 years of experience and a customer base of nearly 600 enterprises, including 40 of the Fortune 100, we've developed a comprehensive understanding of what truly matters in a data catalog solution to deliver business success. Here are our key criteria uncovered:
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AI and Data Analytics: How Machine Learning Is Shaping the Future of Business
Data analytics powered by machine learning can deliver powerful insights and deep analysis reports to decision-makers, helping you find quicker solutions to complex questions and potentially unleashing a competitive advantage in your industry.
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What is Data Integration? Definition, Types, Uses Cases, and Challenges
Data integration refers to the process of combining data from multiple sources into a unified view to provide a coherent, consistent, and accessible form of information. Data integration is a common and significant part of any modern business and is used for a variety of analytical or operational purposes, such as cross-functional reporting, unified customer view, or regulatory compliance.
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What Is a Neural Network? A Simple Explanation
Neural networks are computational models inspired by the human brain's structure and functioning. They consist of layers of interconnected nodes, known as neurons. These networks are used in various machine learning tasks like image recognition, natural language processing, and game playing.
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What Is a Data Governance Policy?
A data governance policy documents how an organization uses and manages its data and information. It covers the people, processes, and technology of an organization’s data program and clarifies who is responsible for managing and using data. The policy also ensures that data is managed, curated, and protected consistently, with specific security and quality standards.
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Gartner Report: How AI-Ready Data Drives AI Success
This blog examines Gartner’s report “Quick Answer: What Makes Data AI-Ready?” and argues that ensuring data readiness upfront is the single most important factor for AI success. By aligning data with use cases, qualifying it to meet AI requirements, and implementing governance that accounts for AI’s unique challenges, organizations can not only avoid costly failures but also accelerate their competitive advantage. Business leaders must act now or risk being left behind.
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Data Basics: Structured, Unstructured, and Semi-structured Data
Data is critical to modern enterprises and the modern workforce. It powers the products and services that organizations build and deliver, empowers workers to make better decisions, and can mean the difference between staying competitive and falling behind.
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2025 Data Privacy Laws: How to Future-Proof Your Data Strategy
Did you know that over 90% of Americans are concerned about how their data is collected and used online? (Cisco 2022 Consumer Privacy Survey). This growing awareness of the importance of data privacy has caused a major shift in how companies are required to handle consumer information.
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Data Mesh and Change Management
In the evolving landscape of data management, the concept of a data mesh introduces a significant shift by assigning ownership of data domains to individual stakeholders. This decentralization means business owners are now directly accountable for their respective domains’ data and related assets. This transition marks a dramatic departure from the traditional model where responsibility rested solely with centralized data teams. This centralized approach often leads to fragmented knowledge and siloed information, whereas data mesh encourages closer alignment between business needs and data management.
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GDPR: Data Compliance Best Practices For 2025
Introduction: What is the GDPR?
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