Consistency (Data values)
The degree to which data values of two sets of attributes comply with a rule.
- •Reliable, coherent, and trustworthy data across different systems, reports, and analytical outputs.
- •Reduced confusion, ambiguity, and misinterpretation for data users and decision-makers.
- •Improved data integrity and accuracy of consolidated views and enterprise-wide reporting.
- •More efficient and predictable business processes due to harmonious and predictable data interactions.
- •Conflicting or contradictory information leading to confusion, distrust in data, and poor or delayed decision-making.
- •Erosion of trust in information systems, BI tools, and analytical insights.
- •Wasted effort, time, and resources in reconciling discrepancies between different data sources or reports.
- •Process breakdowns, errors, or inefficiencies when systems or people encounter inconsistent data values.
%
Percentage of inconsistencies.
Logistics: All systems (TOS, Gate System, Handheld Scanners) show the same, current, and accurate location for a specific container.
Retail: The product price listed on the e-commerce website matches the price in the inventory management system and the price at the physical store checkout.
Finance: The customer's outstanding balance in the billing system is identical to the balance shown in the accounts receivable ledger.
Logistics: Terminal Operating System (TOS) shows a container in Yard Block A, but the Gate System shows the same container exited the terminal 1 hour ago.
Retail: The price of a product on the shelf tag is $9.99, but it scans at $10.99 at the point-of-sale.
Finance: The total sum of individual departmental budgets does not match the overall approved company budget in the financial planning system.
Customer Credit Limit Validation improves 20
Date Range Validation improves 20
Weight/Volume Consistency Check improves 20
Inventory Count Reconciliation Rule improves 20