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Dreamkillers – Analyzing the 2023 Rugby World Cup with OLAP Cube Technology

Paris Technologies

We’ve created a Rugby World Cup model with an array of versions, predicting diverse outcomes for matches at different stages of the event. The post Dreamkillers – Analyzing the 2023 Rugby World Cup with OLAP Cube Technology first appeared on PARIS Tech.

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Scenario Maintenance – Analyzing the 2023 Rugby World Cup with OLAP Cube Technology

Paris Technologies

Now, in the context of the Rugby World Cup—which event is coming up quickly—the notion of version maintenance may seem unconventional, yet we believe that At PARIS, you may have noticed that recently, we’ve added a touch of fun concerning “version maintenance” as a business idea by intertwining it with—of all things!—Rugby

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. These models are used to establish relationships between events and factors related to that event. Commonly used models include: Statistical models.

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes. to analyze past events to forecast future events.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). What Is Financial Intelligence?

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Cloud Migrations: Big Challenges, Big Opportunities

Sisense

It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. Lastly, we can’t help but mention the star schema here, which has elements arranged around a central core and looks like an asterisk. This model is great for querying informational indexes as part of a larger data pool.

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