Analysts Corner

JANUARY 12, 2023

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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Dataversity

APRIL 3, 2023

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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Analysts Corner

DECEMBER 21, 2022

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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The BAWorld

JULY 22, 2024

Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data. They have to sustain high-quality data standards by detecting and fixing issues with data. They create metrics for data quality and implement data governance procedures.

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Astera

NOVEMBER 1, 2023

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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Astera

MAY 20, 2024

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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Astera

FEBRUARY 16, 2024

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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