Remove Data Management Remove Data Quality Remove Embedded Analytics
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Top 10 Analytics Trends for 2019

Timo Elliott

They bring insights to users rather than forcing users to unearth elusive trends, and provide more intuitive interfaces that make it easier to get the data people need to do their jobs. Embedded analytics accelerates. The historical line between operational applications and analytics continues to blur.

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6 Things to Consider When Migrating to the Cloud

Domo

It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.

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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

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 Top 15 Data Analysis Tools in 2024

Astera

SAS Viya SAS Viya is an AI-powered, in-memory analytics engine that offers data visualization, reporting, and analytics for businesses. Users get simplified data access and integration from various sources with data quality tools and data lineage tracking built into the platform.

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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. Organizations can use data pipelines to support real-time data analysis for operational intelligence.

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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 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.