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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. It features support for creating and visualizing decision tree–driven customer interaction flows. They emphasize access to and manipulation of a model.

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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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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

There were a handful of problems that bogged the system down and made it extremely difficult for data scientists to replicate their test bed results in a real-world environment. In order for this to even be possible, the data visualization aspect needs to be streamlined to show exactly what the user wants to see.

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Prevent Customer Churn: Customer Retention in the Transition to Microsoft D365 F&SCM

Jet Global

Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve. Reporting as a Key Cost-driver.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. 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. DBT does the most difficult and time-consuming step — dynamic transformation of data for data teams — with ease.

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What Is Embedded Analytics?

Jet Global

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.