Remove Machine Learning Remove Predictive Analytics Remove Slice and Dice
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The Data Journey: From Raw Data to Insights

Sisense

The combination of a powerful storage repository and a powerful BI and analytics platform enables such analysts to transform live Big Data from cloud data warehouses into interactive dashboards in minutes. Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.).

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future. Real Time and Cached Cube Management. Smart Data Visualization. Anomaly Monitoring and Alerts.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

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What Is Embedded Analytics?

Jet Global

Interactivity can include dropdowns and filters for users to slice and dice data. Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Interest in predictive analytics continues to grow.