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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). We can show you how to accomplish this. Get started.

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Predictive Analytics Is Reshaping UX In The Global Gaming Industry

Smart Data Collective

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. Accounts in use.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 124
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Understanding Augmented Analytics and Its Evolution

Smarten

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. Augmented Analytics vs Predictive Analytics is not really a question.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Jet Global

Embedded Analytics Challenges – and How to Overcome Them Despite the benefits, it can still be difficult to get buy-in for BI and embedded analytics for your SaaS applications due to challenges like infrastructure costs, safety concerns, as well as uptime and scaling. Here’s how. Infrastructure costs. Ready to learn more?