Remove OLAP Remove Online Analytical Processing Remove Sales Remove Visualization
article thumbnail

Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

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.

article thumbnail

The Future of AI in the Enterprise

Jet Global

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Future of AI in the Enterprise

Jet Global

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.

article thumbnail

What is business intelligence? Transforming data into business insights

CIO Business Intelligence

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI. BI tools could automatically generate sales and delivery reports from CRM data.

article thumbnail

Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Data visualization analysis. BI solutions visualization (by FineReport).

article thumbnail

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Suppose we have a successful ecommerce application handling a high volume of sales transactions in DynamoDB. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries.