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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J. Some experts consider BI a successor to DSS.

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Text Analytics – Understanding the Voice of Consumers

BizAcuity

Another independent study backed by TripAdvisor found that more than 80% of the travelers spent time to read as many as 6 to 12 reviews before finalizing their hotel bookings. Similarly, another survey indicated that for 29% of consumers, positive online reviews are the most important factor in their booking decision.

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Download 15 years of Nifty Index Options Data using NSEpy Package

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In my previous article on fat tails in the NSE. The post Download 15 years of Nifty Index Options Data using NSEpy Package appeared first on Analytics Vidhya.

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Text Analytics – Understanding the Voice of Consumers

BizAcuity

Another independent study backed by TripAdvisor found that more than 80% of the travelers spent time to read as many as 6 to 12 reviews before finalizing their hotel bookings. Similarly, another survey indicated that for 29% of consumers, positive online reviews are the most important factor in their booking decision.

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What is a Data Pipeline?

Jet Global

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.