Start over.
Operational data is used to run day-to-day business operations and is typically structured, detailed, and transactional. Decision support data, on the other hand, is used to analyze trends, patterns, and make strategic decisions. Decision support data is often aggregated, summarized, and historical.
Characteristics of modern database are as follows: a) Data is secured in modern database b) Data is easily accessible in modern database c) Data is non redundant in modern database
It seems like there might be a typo in your question. Did you mean "data processing"? If so, data processing refers to the collection, manipulation, and analysis of data to extract meaningful information and support decision-making processes. This can involve activities such as sorting, filtering, aggregating, and summarizing data.
Data warehouse
No, data and evidence are not interchangeable. Data refers to raw information or facts, while evidence is data that has been analyzed, interpreted, and used to support a claim or conclusion. Evidence is derived from data but involves deeper analysis and context to make it useful for supporting arguments or conclusions.
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
Document data regarding supportability (Data Repository)
Product Support Strategy Sustainment Schedule Metric Data Operation and Support (O&S) Data
no
it doesn't
Operational data is used to run day-to-day business operations and is typically structured, detailed, and transactional. Decision support data, on the other hand, is used to analyze trends, patterns, and make strategic decisions. Decision support data is often aggregated, summarized, and historical.
IT supports business with communication, data storage and data retrieval.
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
32 bit data
Double Data Rate
a conclusion helps the data
evidence