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Enhance Trino Performance With Simba’s Powerful Connectivity

Insight Software

Preventing Data Swamps: Best Practices for Clean Data Preventing data swamps is crucial to preserving the value and usability of data lakes, as unmanaged data can quickly become chaotic and undermine decision-making.

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What is a Data Pipeline?

Insight Software

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Data pipelines enable data integration from disparate healthcare systems, transforming and cleansing the data to improve data quality.

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How to Bridge the Skills Gap With Automation for JD Edwards

Insight Software

This trend, coupled with evolving work patterns like remote work and the gig economy, has significantly impacted traditional talent acquisition and retention strategies, making it increasingly challenging to find and retain qualified finance talent.

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SAP S/4HANA Cloud Public Edition: Top Migration Challenges and Solutions

Insight Software

The majority, 62%, operate in a hybrid setting, which balances on-premises systems with cloud applications, making data integration even more convoluted.  Additionally, the need to synchronize data between legacy systems and the cloud ERP often results in increased manual processes and greater chances for errors.

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What is Data Mapping?

Insight Software

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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Unleashing Decision Intelligence With Logi Symphony

Insight Software

Embedded analytics is a game-changer for software teams developing web-based applications. It seamlessly integrates data insights into existing workflows, boosting user engagement, and enabling real-time decision-making. These software teams understand that the usage of ABI ultimately drives better business outcomes.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

While predictive analytics might seem like a no brainer inclusion for application teams, it’s worth noting the risks. These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability.