Remove data-requirements
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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

Integration platforms play a pivotal role in the seamless functioning of modern businesses, enabling the interconnection of various applications, data sources, and systems. However, as the technological landscape continues to diversify in 2024, businesses are exploring MuleSoft alternatives that cater to their unique needs and requirements.

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Why Build a Data-Driven Culture?

Juice Analytics

Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say? Another survey from NewVantage Partners underscores this point: Only 7.5%

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Keys to Data Fluency: Shared Understanding

Juice Analytics

Building a Data Fluent organization requires getting everyone on the same page. This common understanding spans everything from cultural expectations to accessing and using data. Shared Expectations Leaders need to define and communicate how they expect data to be used in the organization. Who qualifies as a lead?

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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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3 Steps on the Data Integration Roadmap

Domo

Organizations must pull together data—regardless of where it resides—to obtain value from it. That means connecting data sources, shining a light on dark data, processing and cleaning data in real time, and automating analytics environments. Step 1 – Putting context around data. So, where should you start?

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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Data Speaks for Itself: The Challenge of Data Consistency

The Data Administration Newsletter

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.