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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Comparison between traditional and machine learning approaches to demand forecasting.

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Hospitality Business Intelligence: Technology Specifics, Integration Problems, Business Value, and Key Providers

Altexsoft

As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. Business intelligence (BI) exists to address the problem of capturing and understanding data. Business intelligence in hotels: sources of data and components. Business intelligence use cases for hotels.

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Hotel Rate Shopping: Using Rate Intelligence for Revenue Management

Altexsoft

To make this knowledge more accessible and useful, it’s typically manifested into business intelligence reports and live dashboards. Learn the basics of revenue management in our video. Any sections of those reports that may help hoteliers make informed pricing decisions are known as rate intelligence.

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Data Mining: use cases & benefits

Apiumhub

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. It is similar to the notion of co-occurrence in machine learning, in which the likelihood of one data-driven event is indicated by the presence of another.

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Building a Data Foundation Pillar #1: Define Your Data Strategy

Datavail

This may include data records, storage systems, integration platforms, business intelligence and analytics platforms, OLTP and OLAP databases, cloud services, and tools for AI and machine learning. A list of important metrics and KPIs for use in measuring the plan’s success.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Machine learning. For this, we have a short, engaging video. How data engineering works in a nutshell.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

In 2023, Elasticsearch introduced the Elasticsearch Relevance Engine (ESRE) , a powerful upgrade integrating AI and machine learning into search. Analysis of logs, metrics, and security events. Below is a brief comparison of these two alternatives to Elasticsearch. Elasticsearch vs. Apache Solr vs. Algolia comparison.