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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Moreover, there are often duplicate events due to full-stack level observability and these events result in data silos. Both the continuous delivery tooling and the continuous operations tooling ingest all the data into the AIOps engine shown at the top (box 7: AIOps Engine). Predictive analytics to show what will happen next.

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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Therefore, you need sophisticated customer analytics to analyze complex customer behavior. What Is Customer Service Analytics?