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 22, 2020
As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications.
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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.
FineReport
JUNE 24, 2021
Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Predictive analytics and modeling. The more and more popular concept of predictive analytics is to predict what will happen in the future. Data security.
AWS Big Data
JUNE 21, 2023
In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Suppose we have a successful ecommerce application handling a high volume of sales transactions in DynamoDB. In this post, we walk through the process of exporting data from a DynamoDB table to Amazon Redshift.
Jet Global
APRIL 2, 2019
Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. Enter data warehousing.
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.
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