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Business performance management (BPM) (also known as corporate performance management (CPM) [2] enterprise performance management (EPM), [3] [4] organizational performance management, or performance management) is a management approach which encompasses a set of processes and analytical tools to ensure that an organization's activities and output are aligned with its goals.
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 ...
IT project portfolio management – An inventory of current projects being managed by the information technology department and their status. Note: It is not common to report current project status inside a future-looking strategy document.
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
A management style is the particular way managers go about accomplishing these objectives. It encompasses the way they make decisions, how they plan and organize work, and how they exercise authority. [2] Management styles varies by company, level of management, and even from person to person.
A management information system (MIS) is an information system [1] used for decision-making, and for the coordination, control, analysis, and visualization of information in an organization. The study of the management information systems involves people, processes and technology in an organizational context.
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Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. [4]
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