Tag: definition

Decision Support Types

    • Advanced Analytics
      Analytics, business analytics, or data analytics refer to the use of data, statistical and quantitative analysis, and explanatory and predictive models for decision-making and actions.
    • Artificial Intelligence is computer systems that can learn, can reason or draw conclusions, can understand natural language, and can perceive and comprehend visual scenes.
    • Big Data
      Big data refers to the attributes of data (volume, velocity, and variety), the digitization of business processes, and innovative technologies and processes that allow for the use of data in new ways.
    • Business Intelligence
      Business intelligence refers to technology, processes, and software products where raw data is input, a set of tasks are executed, and intelligence is output to support computer-aided decision-making.
    • Decision Support Systems
      Decision Support Systems are information systems that provide data and models to support the effectiveness, not efficiency, of decision-making and problem-solving. They are not data intensive and use data and parameters entered by end users. Spreadsheets are one of the enabling technologies used for building model-driven DSS.
    • Digital Marketing
      Digital Marketing describes interactive, digital, and direct marketing and customer relationships.
    • Expert Systems
      Expert systems use specialized knowledge about a particular problem area, use symbolic (and often qualitative) reasoning rather than just numerical calculations, and perform at a level of competence that is better than that of non-expert humans.
    • Information Systems
      Information system is a formal system that provides users in a certain organizational context with information about a set of topics.
    • Strategic Planning & Management
      Strategic Planning & Management systems are for executives to support strategic management activities; the systems include specific features not available in other DSSs such as business modeling, sensitivity analysis, or “what-if” analyses.
    • Visual analytics combines interactive visualizations and analytic algorithms and is used for exploring big datasets.