What is Big Data Analytics

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It is a process to analyze big data to uncover hidden, valid, and useful patterns and insights. Learn more in: Education in the Era of Industry 4.0: Qualifications, Challenges, and Opportunities

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The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized. Learn more in: Big Data Analytics for Business

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Big data analytics is the process of extracting useful patterns and correlations from huge data coming from various sources and in various formats. Learn more in: Insight Into Big Data Analytics: Challenges, Recent Trends, and Future Prospects

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The application of methods and algorithms in sets of big data in order to gain insights. Learn more in: Using Big Data in Healthcare

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Big data analytics is the use of advanced analytic techniques against these huge data sets. Big data analytics enables to uncover hidden patterns, correlations and other insights from huge data sets. Learn more in: Big Data in Business: Digital Transformation for Enhanced Decision-making and Superior Customer Experience

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It is the process of inspecting huge amount of varied data to uncover hidden patterns, unknown correlations and to extract valuable information using advanced analytic techniques and business intelligence tools. Learn more in: Big Data Computing and the Reference Architecture

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Big Data Analytics is the process of inspecting, cleaning, transforming, and modeling Big Data to discover and communicate useful information and patterns, suggest conclusions and support decision making ( Cao, M. et al., 2015 ). Learn more in: Big Data Analytics and Visualization of Performance of Stock Exchange Companies Based on Balanced Scorecard Indicators

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Big data analytics is the difficult process of analyzing large amounts of data in order to reveal information such as hidden patterns, correlations, market trends, and customer preferences which can help businesses make more informed decisions. Learn more in: Big Data Analytics for Search Engine Optimization in Intelligent Business

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A process of extracting useful information and pattern from big data. Learn more in: AI-Driven Big Healthcare Analytics: Contributions and Challenges

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Big data analytics is the use of advanced techniques to analyze, process and examine big data to uncover hidden patterns, trends and relations in order to assist management decision making. Learn more in: Enhancing Online Repurchase Intention via Application of Big Data Analytics in E-Commerce

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Analytics is the discovery, interpretation, and visualization of meaningful patterns in big data. In order to do this, analytics use data classification and clustering mechanisms. Learn more in: A Big Data Framework for Decision Making in Supply Chain

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The process of examining large volume of data of a variety of types to discover useful information. Learn more in: Big Data Analytics: Trends and Case Studies

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Use of advanced analytic techniques against very voluminous, high velocity and diverse data sets that include structured, semi-structured and unstructured data, from different sources, and with varied sizes. Learn more in: Study of E-Commerce Customer Review Capturing Process in the Indian Context

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It is the process of analyzing big data to uncover the hidden patterns and facts for competitive advantage using Data Mining and Business Intelligence tools and techniques. Learn more in: Taxonomy Outline of Big Data Analytics Literature

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The mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Learn more in: Avatar-Based Management Techniques for Breaking Down Language and Cultural Barriers in Modern Russian Corporations

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Big data in analytics comprises of tools and techniques to get insight into the huge amount of data available for useful information. Learn more in: Big Data and Analytics: Application to Healthcare Industry

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Process of examining large data sets containing a variety of data types for specific patterns, correlations, market trends, customer preferences and other relevant information. Learn more in: Modeling Big Data Analytics with a Real-Time Executable Specification Language

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Analytics is the discovery, interpretation, and visualization of meaningful patterns in big data. To do this, analytics use data classification and clustering mechanisms. Learn more in: Quality Assurance Issues for Big Data Applications in Supply Chain Management

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Big data/analytics is defined as the capability of processing extremely large data sets to identify patterns of relationships (correlation, causality) among data to be used in detecting market trends, consumer behaviour and preferences. Learn more in: Role of Data Science and Data Analytics in Forensic Accounting and Fraud Detection

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Big data analytics is the often composite process of examining large and wide-ranging data sets, or big data, to come across information—such as concealed patterns, indefinite correlations, market development and client preferences—that can help organizations create informed business decisions. Learn more in: Big Data Analytics and IoT in Smart City Applications

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The mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more-informed business decisions. Learn more in: “Smart City”: The Concept of Resolving the Contradiction Between Production and Urban Life

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The platform to process and analyze scalable, fast-streaming, and multi-formatted data using MapReduce techniques and related technologies such as Hadoop and Spark and their associated eco systems. Learn more in: Leveraging Applications of Data Mining in Healthcare Using Big Data Analytics: An Overview

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All the data processing and analysis techniques to examine large amounts of data in order to provide insights by uncovering hidden data structures (correlations, patterns) and to inform business decisions and public policies. Learn more in: Food Loss and Waste: A Sustainable Supply Chain Perspective

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The process of examining very large and diverse of data which can be used of advanced analytic techniques in an effort to uncover hidden patterns, unknown correlations and other useful information. Learn more in: The Effectiveness of Big Data in Social Networks

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Big data analytics is a science and technology about organizing big data, analyzing and discovering knowledge, patterns, and intelligence from big data, visualizing and reporting the discovered knowledge for assisting decision making (Sun, Sun, & Strang, 2016). The main components of big analytics include big data descriptive analytics, predictive analytics, and prescriptive analytics (Sun, Sun, & Strang, 2018), which correspondingly address the three questions of big data: when and what occurred? what will occur? and what is the best answer or choice under uncertainty? All these questions are often encountered in almost every part of science, technology, business, management, organization, and industry. Learn more in: Applying Intelligent Big Data Analytics in a Smart Airport Business: Value, Adoption, and Challenges

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Big data analytics is the often-complex process of analyzing voluminous amount of structured, semi structured and unstructured data that has the potential to be mined for information. Learn more in: Digital Transformation: Impact of 5G Technology in Supply Chain Industry

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This refers to analysis of data clusters to gain business intelligence and determine logic and trends that exist in the data. Learn more in: Blockchain Technology in the Automotive Industry: Use Cases and Statistical Evaluation

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This refers to the capability to read and analyze volume of different data sets. Learn more in: Business Intelligence: Strengths, Weaknesses, and Opportunities

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Is the mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Learn more in: Avatar-Based and Automated Testing System for Quality Control of Student Training: Using Neuron Natural and Artificial Technology Platform Triple H

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The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized. Learn more in: Integrated Data Architecture for Business

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Is the often complicated process of examining large and varied data sets, or big data, to uncover information—such as hidden patterns, unknown correlations, market trends, and customer preferences—that can help organizations make informed business decisions. Learn more in: Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications

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Big data analytics is the process of analyzing big, complex and variable data. Learn more in: Management of Big Data Projects: PMI Approach for Success

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The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized. Learn more in: Integrated Data Architecture for Business

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Techniques, technologies, systems, methodologies, tools, and applications used to analysis for decision making. Learn more in: Big Data Adoption: A Comparative Study of the Indian Manufacturing and Services Sectors

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Extracting meaningful information from huge amount of data that is collected from various sources and types. Learn more in: How Supply Chain Management Will Change in the Industry 4.0 Era?

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The process of examining Big Data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Learn more in: Internet of Things and Big Data-Driven Data Analysis Services for Third Parties: Business Models, New Ventures, and Potential Horizons

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Big data analytics describes the challenge of filtering out the relevant information from a huge deal of data with the right strategy. Learn more in: Big Data Analytics and the Discovery of the Hidden Data Treasure From Savings Banks in Germany

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The process of examining big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Learn more in: Evaluation of Strategic Opportunities and Resulting Business Models for SMEs: Employing IoT in Their Data-Driven Ecosystems

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Examines large amounts of data to uncover hidden patterns, correlations and other insights. Learn more in: Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0

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Is the mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Learn more in: Avatar-Based Control and Development of Neuron Multi-Functional Platforms for Transformation Processes in the Digital Economy

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Can be defined basically using analytics techniques on big data to explore worthful information. The analyzing of big data is pretty important for both prediction of future and decision making in all working areas. Learn more in: Intelligent Big Data Analytics in Health

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An approach to the analysis of large volumes of high velocity, complex and variable data from a multitude of sources that require advanced techniques and technologies. Learn more in: Social Media Analytics: Opportunities and Challenges for Cultural Tourism Destinations

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Big Data Analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information using advanced analytic techniques. Learn more in: Big Data Analytics Demystified