Completeness (Records)
The degree to which all required records in the dataset are present.
- •Comprehensive and accurate understanding of business operations, customer populations, and market activities.
- •More reliable reporting, robust analytics, and trustworthy forecasting based on full datasets.
- •Reduced risk of missed opportunities, unaddressed customer issues, or hidden operational gaps.
- •Improved compliance by ensuring all required transactional or entity records are present and accounted for.
- •Incomplete view of business performance leading to skewed analysis, biased insights, and flawed decisions.
- •Inaccurate or misleading reports and forecasts due to missing segments of data.
- •Missed sales opportunities, customer service failures, or unidentified operational inefficiencies.
- •Non-compliance if required transactional, regulatory, or customer records are missing.
%
Percentage or number of the required records that are present.
Logistics: Vessel arrival notification feed contains records for all expected vessel calls based on port schedules.
Healthcare: All diagnostic test results ordered for patients are successfully recorded and linked to the respective patient record within 24 hours.
Sales: Every lead generated from the website inquiry form is successfully created as a new lead record in the sales automation system.
Logistics: Daily gate transaction log missing records for several hours due to a system outage, skewing throughput reports.
Healthcare: Not all patient encounters or administered medications are being recorded in the EHR system, leading to incomplete medical histories and potential safety risks.
Sales: The CRM is missing contact records for key accounts that were onboarded last quarter due to a data import failure.