Master data management (MDM) is a method of enabling an organization to always work with—and make decisions based on—one version of current, ‘true’ data. Discover how it benefits a business, what challenges to plan for, and how to get started.
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This Definitive Guide to Data Quality outlines how your organization can ensure good quality data for correct, actionable business intelligence.
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Business leaders need data they can rely on to make confident, informed decisions. Learn what reliable data actually is, how to assess your data’s reliability, and how to improve it.
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This survey-based benchmark report helps you close the perception gap between management and operations by increasing your data trust readiness quotient for data integrity and speed.
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Across industries and roles, we depend so much on data that it’s hard to imagine working without it. But data, while valuable, isn’t like other corporate assets.
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Data integrity is the accuracy, completeness, and reliability of data throughout its lifecycle. Learn how to keep your data healthy with data integrity.
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Data privacy is about setting different levels of controls to protect customer data information from third parties, and maintaining data integrity. Learn about data privacy, its use case, and how it works in a business setting.
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A well-planned data governance framework covers strategic, tactical, and operational roles and responsibilities. It ensures data is trusted, well-documented, and easy to find within an organization, and that it’s kept secure, compliant, and confidential.
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Every organization today is awash with data. Estimates put the amount of data the world creates annually in the zettabytes. That adds up to a big challenge for anyone tasked with making sure that all of their organization’s data is trustworthy. But what does it mean to trust your data?
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Learn how to apply big data solutions in finance with big data and cloud-based solutions that are transforming the industry.
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Data synchronization is the ongoing process of synchronizing data between two or more devices and updating changes automatically between them to maintain consistency within systems.
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Data security is the collection of measures, such as systems, processes, and procedures, taken to prevent data from becoming corrupted.
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Find out how the right data quality software can manage the integrity of your data .
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Governments must be data-driven to satisfy constituents who evolved along with a global data revolution. Talend can help.
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Data drives every aspect, powers decision-making across an enterprise, and can be your most valuable asset. A data strategy is a high-level business-focused plan for all enterprise data, that serves as the foundation of a larger data management strategy.
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The new rules of data governance will help you overcome all your data management obstacles.
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Read these data governance case studies to discover how companies in industries as diverse as financial services and aviation were able to develop a single source of trusted data, manage data integrity and trust, and share trusted data across their organizations.
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Data modeling describes the structure, associations, and constraints relevant to available data, eventually encoding these rules into a reusable standard.
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The way you use the data in your organization directly impacts your bottom line. There is no operational excellence without data excellence, and to ensure you are using this valued asset properly, a data governance framework must be part of your strategy.
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Download the Definitive Guide to Government Data Quality to find a step-by-step approach to ensuring trustworthy data is always available for making the best decisions. You’ll also find real-world case studies of organizations that have created infrastructures providing trustworthy data in real time.
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This definitive guide shows you how to take control of your data assets and maximize their value.
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Not only does data integrity combine elements of data quality and security, it’s required for the consistent reuse of data and data-driven processes. Learn how to identify and reduce the threat of common data integrity risks.
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Effective data governance tools are essential to ensure the integrity of your data, while navigating evolving compliance standards and security requirements. Find out the most successful strategies to organize, access, and protect your data.
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Cloud security is often cited as a major concern when migrating data to the cloud. Learn more about the impact of cloud on data security, privacy, compliance, and GDPR.
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This guide reviews the 3 key capabilities to look for in a data quality tool so you can manage complexity and engage the right people in the data quality process.
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