Credibility
The degree to which data values are regarded as true and believable by data consumers.
- •Increased trust and confidence in data among users and decision-makers.
- •Higher adoption rates for data-driven insights, BI tools, and analytical reports.
- •Stronger foundation for making critical business decisions based on believable information.
- •Enhanced reputation of data sources and data providers within the organization.
- •Users ignoring or distrusting data and reports, leading to decisions based on gut feel or intuition.
- •Wasted investment in BI and analytics systems if users do not believe the data.
- •Reluctance to act on data-driven recommendations.
- •Poor data culture and skepticism towards data initiatives.
Grade
Logistics: The vessel ETA provided by the terminal operating system is trusted because it's consistently updated with reliable AIS data and historical performance.
News Media: Financial data published by reputable government statistical agencies is generally considered highly credible.
Market Research: A clinical trial result published in a peer-reviewed journal with transparent methodology and data is seen as credible.
Logistics: Users distrust the sales forecast report for shipping volumes because past forecasts have been consistently and wildly inaccurate.
News Media: A news article citing data from an unverified source is met with skepticism by readers.
Market Research: A market share report based on a very small or biased sample size is not considered credible by industry analysts.