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Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Astera

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

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Determining Business Intelligence Requirements That Will Delight Your Customers

Insight Software

These common self-service capabilities may affect your business intelligence requirements: User personas: Increase the adoption of analytics by providing a broad range of users with a tailored experience that matches their needs and skills. Interactivity and automation: Do users need to be able to interact with your dashboards?

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Data Integrations and Use Cases

The BAWorld

Properly executed, data integration cuts IT costs and frees up resources, improves data quality, and ignites innovation—all without systems or data architectures needing massive rework. How does data integration work?

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Data Science vs Data Analytics: Key Differences

Astera

Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. It allows you to retrieve and manipulate data efficiently.

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What Is Embedded Analytics?

Insight Software

Discuss, don’t present. Discuss the option of receiving ample implementation support from an analytics partner knowledgeable in security, white labeling, and UI/UX requirements. Present your business case. To support your case, present findings from the State of Embedded Analytics study.