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How OLAP and AI can enable better business

IBM Big Data Hub

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. This allowed them to focus on SQL-based query optimization to the nth degree. But the simplicity ends there. Every transaction, every cent matters.

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Closing the breach window, from data to action

IBM Big Data Hub

A modern log management platform, optimized for security and compliance use cases, can be vital to modernizing security operations, improving security readiness and reducing risk in a more cost-effective way. With flexible retention options, organizations can optimize data storage and better manage their costs.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

Jet allows you to work with data structures optimized for self-service reporting, reducing the time needed to access accurate and controlled data by up to 80%. Leverage incremental refresh to optimize resource usage. Pre-built OLAP cubes, tabular models, and a data warehouse. Turnkey installation in hours, not months.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

However, reporting this way is not only necessary, but it is also optimal for many financial and operational tasks – where you need to see what is happening right at this moment and dive into individual, detailed transactions that compose the numbers the report reveals. Request a Free Personalized Demo.

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

Jet Global

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” It seeks to optimize performance by identifying opportunities and challenges as soon as they emerge. Request a free demo and take the first step to leveling-up your organization.