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Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
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 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]
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
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.
AppleWorks (formerly ClarisWorks presentation editing) - Classic Mac OS, Mac OS X, Windows 2000 or later; CA-Cricket Presents - Apple Macintosh, Windows; Gobe Productive - BeOS, Linux, Windows; Harvard Graphics - DOS, Windows; IBM Lotus Symphony - Linux, Mac OS X, Windows; Lotus Freelance Graphics - Windows; Jarte - Windows; MagicPoint - Unix ...
They specifically relate to the analysis of a business process (such as sales pipeline analysis, accounts payable analytics, or risk adjusted profitability analysis) in support of decision making. To qualify as an application (rather than simply as a data warehousing tool), these tools should promote some form of automation.
While business analytics has a more broad focus on the who, what, where and when of business intelligence, behavioral analytics narrows that scope, allowing one to take seemingly unrelated data points in order to extrapolate, predict and determine errors and future trends. It takes a more holistic and human view of data, connecting individual ...