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What’s Behind Master Data Management and Why Does It Matter?

Domo

This is where master data management (MDM) comes in, offering a solution to these widespread data management issues. MDM ensures data accuracy, governance, and accountability across an enterprise. What is master data management (MDM)? However, implementing MDM poses several challenges.

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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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Radiant Results: Sol de Janeiro’s Success with Domo and NetSuite

Domo

With Domo, we were able to build a hub where the teams can digest data from NetSuite in a user-friendly way. One of these is master data management, standardizing all of the SKUs and their categories. Instead, they rely on Domo to view and pull the ERP data relevant to their roles.

Retail 52
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Data Integrations and Use Cases

The BAWorld

Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

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Data Science vs Data Analytics: Key Differences

Astera

Data scientists use NLP and machine learning to discern the sentiment behind text data, which is beyond the capabilities of traditional data analytics. Data Analytics Use Cases: Sales Trend Analysis: Data analytics enables retail businesses to dissect historical sales data, revealing patterns and trends.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52