the difference between a knowledge worker and a wisdom worker are as follows:
1)A knowledge worker(KW) tends to follow a hectic life pattern;a KW is always seeking to garner knowledge,skills & experience from outside and hence he leads a busy life attending courses, interacting with others,trying to learn on the job and off the job.He is so busy that he does not have the time to look back at himself,his obligations & responsibilities and what others expect from him.
A wisdom worker(WW) tends to evolve an intense life pattern; a WW on the other hand is always looking inwards therefore he has an intense lifestyle.A WW understands his obligation, his responsibilities and acts likewise according to what others expect from him.
2)A KW thinks all knowledge is objective: a KW believes all knowledge is out there and you need to pick up knowledge & skills through training and up gradation
A WW on the other hand realizes that all knowledge is subjective because knowledge cannot be just evaluated on the basis of content baut has to be evaluated from the subjective or emotional or value framework for which it is used.
3)A KW is driven primarily by the urge to control the external environment and others while the WW's primary focus is on control of himself.
4)A KW is usually egoistic while WW is usually humble. A egoist KW does not always indicate performance related efficiency. It only indicates how important the person thinks himself to be. A WW is always humble even when he is successful and efficient in performance.
Knowledge work systems and office automation systems serve the information needs at the knowledge level of the organization. , where as office automation systems primary aid data workers (although they are also used extensively by knowledge workers)
What two types of data can be collected? Describe eac.
exclusive method of data classification with example?
mining the data is called data mining. Mining the text is called text mining
A database is a system for storing transactional data (OLTP). A data mart is a repository for analytical data (OLAP). A database is a collection of information about a single topic's various features and activities. Data from many subjects will be stored in a data mart. To learn more about data science please visit- Learnbay.co
The difference is rimary data is information personally or originally collected that has not been studied. Secondary data is information already collected, examined and concluded.
Data and information are similar only because data is a raw form of information. Therefore, they are one and the same. Information differs because it is organized, whereas data is not.
They are:1] it is useful to distinguish between raw data tables and analytic tables2] It is a way of conveying information to a reader or to readers
Data is raw facts or figures, information is processed data that provides context or meaning, knowledge is the understanding gained from information, and a message is a communication containing data, information, or knowledge. Data is the most basic form, while a message is a more refined form that conveys specific content or meaning. Knowledge represents a deeper level of understanding derived from processing information, while information is the organized and useful form of data.
Data is called raw data or facts. But data with some context is called information, and information becomes knowledge which can be shared.
logical data : refer to the immunity of the external scheme towards changes in the conceptual scheme.physical data: refer to the immunity of the conceptual scheme towards changes in the internal scheme.
Data refers to raw facts and figures, while information is processed data that provides context and meaning. Knowledge involves understanding and insight gained from information, while intelligence encompasses the ability to apply knowledge effectively to solve problems or make decisions.