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How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams.

Finance 52
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Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks

erwin

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. Creating a High-Quality Data Pipeline.

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8 data strategy mistakes to avoid

CIO Business Intelligence

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The human political element plays a significant role here as well, as local data owners push back on relinquishing control over domain-specific data assets to centralized data governance authorities. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

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Self-service vs Centralized Data Management: How to Leverage Data Lineage to Empower and Control

Octopai

It allows them to explore, manipulate, and analyze data without heavy reliance on IT or data specialists. This approach promotes agility and empowers business users to make faster, data-driven decisions. On the other hand, centralized data management emphasizes a more structured and governed approach.

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Compliance with these business rules can be tracked through data lineage, incorporating auditability and validation controls across data transformations and pipelines to generate alerts when there are non-compliant data instances. Data lineage offers proof that the data provided is reflected accurately.

Metadata 111
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Sure, Trust Your Data… Until It Breaks Everything: How Automated Data Lineage Saves the Day

Octopai

The inability to trace data lineage accurately made it difficult to demonstrate compliance during audits. This situation posed legal risks and threatened the organization’s reputation. The lack of trust in data created inertia.

IT 52