DATA:- data are the raw facts and figure which is process to get the information. data can not help in decision making. informatio:- information is the the data that has been all the processed into a more use full or intelligable form. it is the set of the data that has been orginised for direct utilization and helps human being in there decision making process.
interpretation of data
Information is raw data or facts, whereas interpretation involves analyzing and assigning meaning to that information. Information provides the foundation for interpretation, which involves making sense of the data in a particular context or perspective.
data is set of action and ways to plan
To convert data into information, you must perform some summarization, analysis, and interpretation. Data doesn't allow one to make decisions or inferences, but information does.
Data is unprocessed...stuff. In other words, the raw facts and no interpretation or anything. Information is processed data.
Data refers to raw facts and figures, while information is processed data that has context and meaning. Knowledge is the understanding and application of information. Data is the foundation, information is the interpretation, and knowledge is the utilization of both.
It means that the 'data' (i.e.: information or statistics) that is given or quoted, is subject to more than one interpretation, or that sources of the data give varying information for the same subject.
Characteristics of EIS: ->Drill down ->summarized data -> Easy Analysis -> Exceptional Reporting -> Navigation of information
Analysis involves breaking down information or data into smaller components to understand it better, while interpretation involves explaining the meaning of the analyzed information or data in a broader context or perspective. Analysis focuses on understanding the "what" and "how," while interpretation delves into the "why" and "what it means." Together, they help in making sense of complex information and drawing meaningful conclusions.
What is a good format for data interpretation
The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.Read more: statistics
1. accurate information 2. organized information 3. timely information 4. verifiable information 5. accessible information 6. economical information 7. useful information