Make Every Data Decision More Trustworthy.

Customer data is often duplicated across CRM, marketing, service and core systems, with inconsistent identity, consent and data quality.

iTANZ uses a governed data-foundation approach in which Informatica can support data quality, integration and governance before customer data is activated in analytics, Customer 360 or AI use cases.

The target state reduces conflicting records and gives downstream analytics and AI a more traceable, governed source of customer information.

AI readiness is a data-quality and governance problem before it becomes a model problem.

Teams often reconcile business-critical data manually because cloud and core systems use different definitions, formats and update cycles.

iTANZ maps the critical data domains, applies quality and governance controls, and integrates the relevant sources so approved information moves through governed pipelines rather than repeated spreadsheet handling.

The target state improves consistency, lineage and confidence in the information used for reporting and operational decisions.

Trusted reporting starts upstream, where the data is integrated, governed and made consistent.