Remove Analytics Application Remove BI Remove Business Intelligence Remove Unstructured Data
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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Our customers have sales people and use software, but they cannot step into the traditional way of buying business intelligence.

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What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format. This type of storage is a standard part of any business intelligence (BI) system, an analytical interface where users can query data to make business decisions.

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Cross-Functional Trade Surveillance

Cloudera

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

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Business Intelligence (BI) Tools List

U-Next

BI tools are different types of application software that collect and process huge amounts of unstructured data from internal and external sources. The enormous amounts of data being created provide a problem for firms of all kinds, making it tougher year after year to ensure that all business operations are under check.