Analytic and reporting concepts are guidelines that data analysts should follow when making their records. They make sure that reports are both easy to read and informative.
Transparency Theory: A key a part of transparency https://reits-anleger.de/get-insights-with-the-best-data-room-detailed-analytics-and-reporting-feature is making sure an audience knows how the findings were extracted, what assumptions underlie them, and as to why they were produced. This helps these people build confidence in the findings.
Accuracy Guideline: Reports can represent their particular contents accurately. Including ensuring that crafted components and titles have time of mistakes and that the data presented is usually accurate and based on the specified time period(s).
Appearance Standard: Aesthetically pleasing reports can help people better understand their findings and make decisions based on them. This includes avoiding entertaining elements including extraneous lines, words and colors, and ensuring charts and other visualizations are clear and readable.
Quality Principle: Analytics communicate the findings in a manner that is clear, immediate and reliable. These goals must be reached without losing important information or data features.
Consistency Principle: The information presented within a report should be accurate, reliable and up-to-date. This includes making certain the data has been cleaned and free from errors.
Circumstance Principle: Analysis requires that data end up being compared to prior trends to acquire a broader point of view and put that into framework. This is important to understanding how come a certain type of customer acts in a particular manner or for what reason a specific business process is normally performing differently than it had been before.