Start over.
If your data does not support your initial hypothesis or conclusions, you may need to reconsider your research question, methodology, or analysis. It is important to critically evaluate your data to identify any biases, errors, or limitations that may have influenced the results. You may also consider conducting further research or seeking alternative explanations for the findings.
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.
Some characteristics of modern database management systems (DBMS) include support for relational data models, ACID-compliant transaction processing, scalability for handling large volumes of data, support for a variety of data types, and advanced security features to protect data integrity and confidentiality.
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.
"Decision database."
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.
32 bit data
evidence
a conclusion helps the data
Double Data Rate
to explain why the data support or reject the hypothesis