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The 4 Common Challenges of Predictive Analytics Solutions

Jet Global

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

Jet Global

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 Embedded Analytics Boosts Data Literacy

Jet Global

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. According to insightsoftware and Hanover Research’s 2024 Embedded Analytics Report , customizable dashboards are in demand.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Jet Global

When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Predictive analytics refers to using 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

Jet Global

Here, we discuss three ways you can monetize data with an embedded analytics investment. According to insightsoftware and Hanover Research’s recent Embedded Analytics Report , the overwhelming majority of development teams (84%) found generative AI to be the most important trend of the next five years.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Jet Global

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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Case Study – Smarten Augmented Analytics Case Study: Pharmaceutical, Clinical Research and Innovation Company

Smarten

This Client required augmented analytics and reporting capabilities within the confines of the Healthcare Information System and Revenue tracking reports required by the industry standards and its management team. Key Benefits and Deliverables: Real-time report for Stocks, Sales, Returns, Regions etc.,