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Data journalism: publishers and journalists use big data tools to provide unique and innovative insights and infographics. Channel 4, the British public-service television broadcaster, is a leader in the field of big data and data analysis. [98]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Cloud analytics is term for a set of technological and analytical tools and techniques specifically designed to help clients extract information from massive data. [ 2 ] Cloud analytics is designed to make official statistical data readily categorized and available via the users web browser .
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
GATE: a natural language processing and language engineering tool. KNIME: The Konstanz Information Miner, a user-friendly and comprehensive data analytics framework. Massive Online Analysis (MOA): a real-time big data stream mining with concept drift tool in the Java programming language.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage. [40]
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