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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

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Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

Insight Software

Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Forrester Research predicts that the embedded analytics market will hit $16 billion in 2024.

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3 Ways Embedded Analytics Boosts Data Literacy

Insight Software

Pressure for on-demand data insights is increasing as potential buyers look for intuitive, but deep analytics functionality to help navigate their business through these uncertain economic times. Here are three key data-literacy-boosting features to look out for: 1. The Embedded Analytics Buyer’s Guide Download Now 2.

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3 Ways Logi Symphony Leverages AI for Actionable Insights

Insight Software

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

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

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

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.

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Embedded Analytics in 2023: A Year in Review

Insight Software

With customers now expecting more than ever from analytics, many development teams invested in embedded analytics solutions to reduce the workload and time to value for their applications. The key aspects of their relationship that trended over the last year included predictive analytics and integration with machine learning.