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Power BI for the Business Analyst

Insight Software

It is a no-code solution for any Excel expert to both develop and deploy a quick Inventory App: Power BI Navigation: All data can be edited. Easy to use master data management. If you’d like to Learn More, click the Request a Demo button in the upper right corner of our website. It scales to Synapse as well.

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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)? Management of all enterprise data, including master data.

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The Impact of Data Quality on M&A Success

Astera

Organizations should prioritize high data quality during the mid-merge stage as it helps in: Master Data Management (MDM): High-quality data is essential for creating a single, authoritative source of truth (master data) across the combined organization. Request a Demo

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Data Quality Framework: What It Is and How to Implement It

Astera

Focus on improving data quality for the data sets with the most significant business impact, for example, customer information, sales data, or financial records. Ensure data related to areas like healthcare or finance meets industry standards and regulatory requirements. View Demo

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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

2. Dell Boomi Dell Boomi is a cloud-based integration platform encompassing application and data integration, API management, and master data management, among other data management capabilities. Sign up for a demo or a 14-day free trial now! Key Features: Drag-and-drop user interface.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

Astera offers a comprehensive set of data quality features to ensure data accuracy, reliability, and completeness. Data Matching: Data Ladder enables you to execute proprietary and industry-grade match algorithms based on custom-defined criteria and match confidence levels for exact, fuzzy, numeric, or phonetic matching.

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What Is Data Management and Why Is It Important?

Astera

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.