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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

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Using Business Intelligence in Demand Forecasting

Jet Global

The process of demand forecasting results in strategic and long-term decision making that impacts everything from budgeting and financial planning to capacity planning, sales and marketing planning, and capital expenditure. Data Consolidation. Learn more about data warehouses here. Data Analysis.

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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

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5 Ways Master Data Management (MDM) Can Organize Your Dynamics ERP Data for Business Intelligence

Jet Global

While there’s no doubt about the value of implementing a BI solution, many Dynamics ERP customers face the same data challenges with the quality and credibility of their data before a project even begins. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

A content streaming provider will often use descriptive analytics to understand how many subscribers it has lost or gained over a given period and what content is being watched. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data. Watsonx comprises of three powerful components: the watsonx.ai