What is data integrity and how can it be measured? One simple definition is that integrity describes how well data matches the constraints imposed upon it by business rules, processes and environment. The less good the matches, the lower the integrity.

Such a definition immediately leads to the questions 'what are the constraints?' and 'how do I enforce them?'. That is much more complicated to answer than to ask! To learn more request a white paper on data integrity.

Why is high data integrity important?

Billing errors lead to lower revenue & higher churn

Disputes are expensive and time-consuming

Move from firefighting to prevention

Prevent leakage and internal wastage

CHIL's integrity solutions prevent integrity loss (Product Controller) and find / fix integrity problems (Billing Doctor).

Product Controller

Ensure billing reference data is consistent across all platforms and the update process is controlled. Provide ‘single version of the truth’ for the product catalogue. Actively reconcile tariff models against all dependents to ensure complete consistency.

Validate billing data to ensure consistency & correctness; cleanse reference data; correlate misaligned data from different sources. Flexibly support many different billing models. Monitor billing output to prevent mistakes & disputes. Quickly configure relationships, rules & constraints to solve integrity problems.