Reputation
The degree to which data are trusted or highly regarded in terms of their source or content.
- •Data from specific sources or systems is widely trusted and highly regarded within and outside the organization.
- •Increased willingness to use and act upon data from reputable sources.
- •Enhanced credibility for decisions and communications based on such data.
- •Stronger brand image if the organization is known for high-quality, reputable data.
- •Data from certain sources is viewed with skepticism or outright distrust due to past issues or perceived bias.
- •Reluctance by users to rely on data from sources with a poor reputation.
- •Reduced impact of insights or recommendations if the underlying data is not considered reputable.
- •Damage to organizational credibility if decisions are based on data from untrustworthy sources.
Grade
Logistics: Official customs declarations or data from major, audited shipping lines are generally considered reputable sources for cargo details and vessel movements.
News: Data published by established government statistical agencies (e.g., Bureau of Labor Statistics, Eurostat) or highly respected international organizations (e.g., World Bank, IMF) generally has a strong reputation.
Market Data: Market analysis reports from well-known, independent research firms with a long history of insightful and accurate reporting are trusted by businesses.
Logistics: Data originating from a known unreliable spreadsheet that is manually updated by many users with no validation is treated with skepticism by managers.
News: Information from an unverified social media account with a history of spreading misinformation has a poor reputation.
Market Data: Financial forecasts from an analyst with a poor track record of accuracy are not highly regarded by investors.