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Top Data Analytics Terms You Should Know

The BAWorld

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

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What is big data and why is it important to Business ?

Analysts Corner

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? Healthcare providers can use big data to analyse patient data to improve treatment outcomes and reduce costs.

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Unleashing the Power of Data Mining: An In-Depth Guide to Techniques, Applications, Tools, and…

Analysts Corner

Association Rule Learning: Association rule learning involves the discovery of relationships between attributes in a data set. It is commonly used to uncover hidden patterns and associations in large transactional databases, such as market basket analysis in retail.

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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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AI in Analytics: Empowering Humans, Not Replacing Them

The BAWorld

Today we want to shed some light on AI powered analytics and how IIBA CBDA certification will help you kickstart your journey towards data analytics. You can now analyze vast amounts of data with incredible precision, spot the tiniest trends across millions of transactions.

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Data Science vs Data Analytics: Key Differences

Astera

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

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Deep Dive into Predictive Analytics Models and Algorithms

Marutitech

The classification models are applied in various domains, especially in finance and retail industries, due to their ability to retrain with the new data and provide a comprehensive analysis to answer business questions. . 2. If you consider business a “number game,” predictive analytics is the best way to play it. .