Remove Data Modelling Remove Data Requirement Remove Embedded Analytics
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Must-Have AI Features for Your App

Sisense

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It turns out that emotional reaction is an important variable in stock market behavior! .

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Building Bridges — Best Practices for BI Teams Working with Data Teams

Sisense

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements. Jennah says.

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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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Meet the Oracle Requirements and Unlock the Full Potential of Your Data

Insight Software

Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future. Key challengers for your Oracle users are: Capturing vast amounts of enterprise data requires a powerful and complex system.