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12y ago
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1w ago

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.

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Q: What do you do if your data does not support your data?
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What are the most relevant differences between operational data and decision support data?

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.


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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.


What is data progressing?

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.


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Are data and evidence interchangeable?

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.

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