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Why Data Quality and Data Governance are Important to Achieve Compliance

Analysts Corner

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. In 2020 alone, banks were fined $14.2 Million in revenue due to a single non-compliance event.

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Data Governance: How Can It Be a Crucial Enabler for Managing Data Risks?

Dataversity

In July 2021, one of the world’s leading banks revealed a loss of $5.5 The bank identified the “failure of management and controls” in its investment banking arm as the fundamental cause of this loss. billion due to a default by one of its customers.

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Data Governance in Financial Services: How to Ensure Data Integrity for Risk Management and Reporting

Astera

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Data Provenance vs. Data Lineage: Key Differences

Astera

Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. Data provenance covers the origin and history of data, including its creation and modifications. Who created this data?

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26 Interesting Statistics around Big Data, Data Science, and Analytics Market, Jobs, and Salaries

Analysts Corner

According to Healthcare Big Data Analytics Market Report 2022 , by 2027, big data in healthcare is predicted to reach $71.6 By 2025 , the market of big data analytics in banking is predicted to grow to $62.10 By 2027 , the use of big data application database solutions and analytics is estimated to reach $12 billion.

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Finance 360: How ETL Drives Strategic Insights In Minutes

Astera

It facilitates the seamless collection, consolidation, and transformation of data from diverse sources and systems into a unified and standardized format. The advantages of this integration extend beyond mere organization; it significantly improves data quality and accuracy.

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Data Enrichment: How to Make Your Data More Meaningful

Astera

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? AI-powered auto mapper to easily map your data from sources to destinations.