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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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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Benefits of BI BI helps business decision-makers get the information they need to make informed decisions. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

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How to Build a Performant Data Warehouse in Redshift

Sisense

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

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Best Reporting Tools List You Can’t Miss in 2020

FineReport

In this reporting tools list , I highlighted these software’s benefits, disadvantages, price, and suitable users. The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. As reporting software, it does not support OLAP.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases benefit from decades of tweaks and optimizations to deliver performance. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). It provides meaning.

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Closing the breach window, from data to action

IBM Big Data Hub

The average cost of a data breach set a new record in 2023 of USD 4.45 Legacy systems and architectures led to unsustainable costs of data ingestion, analysis, and storage, as well as performance issues when searching and analyzing threats across massive datasets.

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Time to Act: Key Considerations When Leaving the Legacy Behind

Jedox

In this post, we look at key considerations for legacy system users to be able to fully leverage the benefits of innovation when evaluating their options and next steps: How will you enable seamless connection to any IT platform? How will you secure a lower total cost of ownership?

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