Smart Data Collective
JUNE 16, 2022
Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( Using OLAP Tools Properly.
Jet Global
OCTOBER 26, 2021
Following on the sales example cited above, a user might choose to view sales of different product lines, with a secondary breakdown of those sales by region. Following on the sales example cited above, a user might choose to view sales of different product lines, with a secondary breakdown of those sales by region.
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Jet Global
JUNE 5, 2019
Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.
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
APRIL 20, 2020
CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising. Over the past few decades, however, technology has been closing that gap.
AWS Big Data
FEBRUARY 28, 2023
Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. In this post, we discuss how to use these extensions to simplify your queries in Amazon Redshift. It helps you see your mission-critical metrics at different aggregation levels in a single pane of glass.
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.
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