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5 Ways Layered Navigation Improves Business Intelligence Strategies

Smart Data Collective

However, with the ever-increasing volume and complexity of data, it’s essential to have an effective data navigation system to optimize your BI strategy. Layered navigation is a powerful tool that can improve your BI strategy by providing better access to relevant data and insights.

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Balance Data Quality with Data Agility!

ElegantJ BI

If we look at the idea of data agility and delivering Augmented Analytics Tools to business users, we can encourage the use of self-serve tools with auto-suggestions and guidance to help users see the best way to visualize their data or to use a Self-Serve Data Prep tool or an Assisted Predictive Modeling tool.

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Balance Data Quality with Data Agility!

ElegantJ BI

If we look at the idea of data agility and delivering Augmented Analytics Tools to business users, we can encourage the use of self-serve tools with auto-suggestions and guidance to help users see the best way to visualize their data or to use a Self-Serve Data Prep tool or an Assisted Predictive Modeling tool.

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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. By using a visual representation of code, the virus code can be detected without running the code and endangering the test system.

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A Guide to Building Better Data Products

Juice Analytics

However, the data was essentially stored in old copies of the paper magazine, not a format that was conducive to delivering insights to their target audience. (3) That isn’t to say we haven’t seen many companies that believe that a massive data extract represents a useful solution to their customers. Just kidding!

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What is Augmented Data Preparation and Why is it Important?

ElegantJ BI

But, businesses do not have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users. Why is Augmented Data Preparation Important?

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. The challenge comes when the data becomes huge and fast-changing.