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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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3 Ways to Monetize Your Application Data with Embedded Analytics

Insight Software

Imagine your application becoming a crystal ball for your users’ data. Beyond Development: Monetizing Data with PaaS Solutions Imagine freeing up your development team’s time while providing a valuable service your end users trust. With a platform-as-a-service (PaaS) model, this is possible.

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The 4 Common Challenges of Predictive Analytics Solutions

Insight Software

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

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

Insight Software

Ventana Research predicts that over two-thirds of business unit teams will enjoy immediate access this year to an integrated cross-functional analytics platform seamlessly embedded within their workflow activities and processes. Building and maintaining an advanced analytics solution takes time and significant manpower.

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What Is Embedded Analytics?

Insight Software

Embedded analytics are a set of capabilities that are tightly integrated into existing applications (like your CRM, ERP, financial systems, and/or information portals) that bring additional awareness, context, or analytic capability to support business decision-making. Financial Services represent 13.0

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Embedded Analytics in 2023: A Year in Review

Insight Software

The key aspects of their relationship that trended over the last year included predictive analytics and integration with machine learning. Scalability : Think of growing data volume and performance here. Secure data transmissions and authentication mechanisms both played key roles in the security real for embedded analytics.

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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.