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The International Business Communication Standards (IBCS) are practical proposals for designing business communication, available for free use under a Creative Commons license (CC BY-SA). IBCS are used to optimize reports, presentations, and dashboards in terms of their conceptual design, visual perception, and semantic notation.
As the concepts are very self explanatory MIS is very useful for all the establishments for taking early and post decisions, analysing the performance of the target and achievements based on availability of required structured data etc. Developing an MIS system is becoming extremely important as the strength of economies rely on services and to better understand the specific needs of customers.
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
All data sourced from a third party to organization's internal teams may undergo accuracy (DQ) check against the third party data. These DQ check results are valuable when administered on data that made multiple hops after the point of entry of that data but before that data becomes authorized or stored for enterprise intelligence.
Interactive communication is advantageous for a cross-functional approach as the business and consumer are both involved in brand communication. [110] Implementing IMC is a flexible process due to the changing nature of the marketing dynamics therefore by eliminating borders within the organization it allows for this notion.
Business process improvement in that its goal is to improve and streamline actions and decisions in furtherance of business goals; Data visualization in that it uses well-established theories of visualization to add or highlight meaning or importance in data presentation. Digital humanities explores more nuanced ways of visualising complex data.
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]
According to noted author and columnist Lowell Fryman, "The essence of business metadata is in reducing or eliminating the barriers of communication between human and human, as well as human and computer, so that the data conveyed from reports, information systems, or business intelligence applications can be crystal clear, can facilitate business operations, and can be leveraged for all ...