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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

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.

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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.

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

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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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.

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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.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

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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. For setup instructions, refer to AWS security credentials.