Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. What are the 4 Types of Data Analytics?

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Insight Software

MARCH 25, 2024

According to insightsoftware and Hanover Research’s recent Embedded Analytics Insights Report , AI and predictive analytics were rated among the most important trends of the next five years. Managed interactive dashboards and pixel-perfect reporting. Want to learn more?

Business Intelligence 52

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Insight Software

APRIL 24, 2024

AI systems can be applied to your data to provide analytics and predictive insights, but our chatflows are designed to be tailored to any user’s specific needs. Chatflows are a quick win for any dashboard, whether it’s a managed dashboard or a self-service data discovery dashboard. Ready to learn more?

IBM Support 52

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Insight Software

APRIL 12, 2024

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis.

Embedded Analytics 52

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Insight Software

JANUARY 19, 2024

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.

Embedded Analytics 52

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Insight Software

MAY 1, 2023

It also led to the development of new and different approaches to delivering analytics. New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. These sit on top of data warehouses that are strictly governed by IT departments.

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