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Fundamentals of Data Analytics

The BAWorld

Data Analytics (DA) has evolved as a vital force in shaping the modern world, translating raw data into actionable insights that drive advancement in a wide range of sectors and industries. This indicates that descriptive analytics is focused with comprehending what has previously occurred.

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What is Zero ETL? Components, Benefits How Does it Work

Astera

So, let’s explore them in detail: Zero ETL Components Real-Time Data Replication It is a fundamental component of zero-ETL. Organizations use real-time data integration technologies to facilitate the continuous flow of data from source systems to destination repositories.

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Responsible Gaming in the Age of Machine Learning

BizAcuity

Only, the data required to do this is not so easily available. Rooted in a comprehensive and proactive approach to real-time data analytics we aggregated player lifetime and frequency metrics and computed them to predict and analyse problem gaming behaviours or trends in players. That too, efficiently.

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 Top 5 Data Preparation Tools In 2023

Astera

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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3 data trends that will drive the future of healthcare

Tableau

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. CW : Retrospective data analysis isn't sufficient.

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3 data trends that will drive the future of healthcare

Tableau

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. CW : Retrospective data analysis isn't sufficient.