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What Is Data Governance and Why It Matters?

Astera

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

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Maximize Data Impact with an Effective Data Lineage Strategy

Dataversity

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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How Unified Data Works in Driving Growth for Businesses Today

Astera

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. There are many types of data repositories.