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

Jet Global

What Is Financial Intelligence? 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). Business intelligence is tactical.

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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. READ BLOG POST.

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Why Business Intelligence is Top of Mind for CFOs for 2022

Jet Global

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Why business intelligence ? Discover Meaning Amid All That Data. Allocate Your Spend More Efficiently.

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

CIO Business Intelligence

Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Some experts consider BI a successor to DSS.

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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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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. You can also use your favorite business intelligence (BI) and SQL tools to access, analyze, and visualize data in Amazon Redshift. For Connection name , enter a name (for example, olap-azure-synapse ).

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Data Model Development Using Jinja

Sisense

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Sisense provides two types of data models: ElastiCube models and live models.