Primary data can be slow to acumulate, and is also relatively expensive. Secondary data is faster and often free of charge, but you must ensure that the source from which you take your data is reliable.
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Purchased data is research data, secondary research, done by outside organizations. Examples would be Gallup or Roper data.
Factors affecting data capture include the quality and reliability of the data sources, the methods and tools used for data collection, and the environment in which data is gathered. Human error, technology limitations, and data privacy regulations can also impact the accuracy and completeness of the captured data. Additionally, the training and expertise of personnel involved in data collection play a crucial role in ensuring effective data capture.
Data Warehousing is the process of unifying data from multiple data sources under a single unified schema. A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.
Secondary data is data that was collected from someone else an already exists for a different purpose. Using secondary data is usually the easiest and cost effective way of gaining data for marketing.
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The correct spelling is "primary" (principal, prime).
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The prime factors of 88 are 2 and 11.
Some of the pitfalls or disadvatages of using the RS 232 data cables are that they can start recieving information at the wrong time. The cables also need extra bits in the data stream to indicate the start and end of information.
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