Garbage in, garbage out. We fix the garbage.

Your Salesforce is only as reliable as the data inside it. Duplicate records, inconsistent formats, missing fields and outdated information undermine every report, every workflow and every AI agent. Informatica Data Quality fixes that at the source.

Data quality isn't a one-time cleanup. It's an ongoing discipline. Informatica provides the tools to cleanse, standardise, deduplicate and validate your data continuously, so your Salesforce platform and AI agents always work from a single, trusted version of the truth.

The data quality pipeline

Dirty data enters on the left. Informatica profiles, cleanses, matches and merges. Clean, trusted data flows into Salesforce on the right.

DIRTY DATA Duplicates John Smith / Jon Smith / J. Smith Bad formats +44 7700... / 07700... / 7700... ? Missing fields Email: null / Postcode: blank Outdated Last updated: 2019 / Moved INFORMATICA DATA QUALITY 1 Profile Analyse every field Identify patterns Map anomalies Measure completeness 2 Cleanse Standardise formats Correct errors Validate addresses Format phones/emails 3 Match Fuzzy matching Identify duplicates Score confidence Cross-object linking 4 Merge Survivorship rules Keep most complete Preserve most recent Golden record output CLEAN DATA Single golden record No duplicates remaining Consistent formats +44 7700 900123 Complete fields All required data populated Salesforce Trusted data powering reports, flows and AI BEFORE AFTER

What Informatica Data Quality delivers

Four capabilities that transform data quality from a one-off project into a continuous, automated discipline.

Data profiling

Understand what you have before you clean it. Informatica profiles your data to identify quality issues, patterns, anomalies and gaps across every field and object. You can't fix what you can't measure, and profiling gives you the baseline.

Data cleansing

Standardise formats, correct errors, fill missing values and normalise records across your Salesforce environment. Address standardisation, phone formatting, email validation. Every record brought into line with your data standards.

Duplicate management

Fuzzy matching algorithms identify duplicate records that exact-match rules miss. Merge strategies that preserve the most complete, most recent data. One golden record per entity, not three near-identical ones creating confusion.

Ongoing governance

Data quality rules that run continuously, catching issues as they enter the system. Dashboards and alerts that keep your data team informed and proactive. Prevention is always cheaper than remediation.

Why data quality matters

AI depends on it

Agentforce agents and AI workflows make decisions based on your data. If the data is wrong, the decisions are wrong. Clean data is the prerequisite for AI that works.

Compliance requires it

Regulated industries need accurate, auditable records. GDPR, data protection, sector-specific regulations all require data you can trust and demonstrate you can trust.

Efficiency demands it

Duplicate records waste time. Inaccurate data generates errors. Clean data means fewer manual workarounds and faster, more confident decision-making across every team.

Ready to trust your data?

Let's talk about your data quality challenges and how Informatica can solve them.