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Life cycle energy analysis (LCEA) is an approach in which all energy inputs to a product are accounted for, not only direct energy inputs during manufacture, but also all energy inputs needed to produce components, materials and services needed for the manufacturing process. [111] With LCEA, the total life cycle energy input is established. [112]
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 .
Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.
Life-cycle assessment (LCA or life cycle analysis) is a technique used to assess potential environmental impacts of a product at different stages of its life. This technique takes a "cradle-to-grave" or a "cradle-to-cradle" approach and looks at environmental impacts that occur throughout the lifetime of a product from raw material extraction, manufacturing and processing, distribution, use ...
Two key aspects of business process modeling are a formal framework that integrates both control flow and data, and a set of tools to assist all aspects of a business process life cycle. A typical business process life cycle includes at least a design phase, concerned with the “correct” realization of business logic in a resource ...
Sometimes the term business life cycle is used interchangeably with the organizational life cycle, while the two are different. The organizational life cycle is a more inclusive term for all kinds of organizations which includes even government organizations, but the business life cycle refers more specifically only to for-profit companies.
DataOps applies to the entire data lifecycle [3] from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations. [4] DataOps incorporates the Agile methodology to shorten the cycle time of analytics development in alignment with business goals. [3]
Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]