Jet Global
APRIL 2, 2019
Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.
Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.
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Jet Global
APRIL 20, 2020
Over time, accounting software evolved to include inventory management, human resources, and even CRM. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Succeeding in the New Paradigm.
AWS Big Data
MARCH 7, 2023
Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. They should also provide optimal performance with low or no tuning. Along with metadata management, data quality is important to increase confidence for consumers.
Jet Global
AUGUST 14, 2019
Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.
Jet Global
SEPTEMBER 4, 2020
When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.
Jet Global
OCTOBER 2, 2019
Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.
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