INFORMATICA
Informatica Informatica Implementation

Informatica MDM and data quality implementations that make every downstream system trustworthy

Informatica IDMC, MDM, and Data Quality deployments for enterprise data programmes. We design the master data layer before connecting a single system.

MDM
Master data expertise
IDMC
Cloud platform delivery
Data Quality
Dedup & governance
Enterprise
Scale implementations
Informatica dashboard
INFORMATICA

Platform capability

Informatica Implementation
Informatica MDM
Informatica IDMC
Informatica Data Quality Specialist
Informatica PowerCenter

Executive platform questions

Questions leaders ask before investing more in Informatica

Built for decision-makers deciding whether the platform needs implementation, remediation, integration, governance or a full operating-model redesign.

Why is Informatica not supporting executive visibility?

Informatica usually fails leadership visibility when process, data model, ownership and reporting were not designed as one operating system.

  • Leadership still asks for manual reports
  • Users do not trust the platform
  • Revenue or customer data is spread across systems

What should decision-makers audit before more spend?

Audit the current platform architecture, data quality, workflows, permissions, reporting and user adoption before investing in more licences, AI or integrations.

  • Informatica MDM is deployed but the CRM still has duplicates
  • Data quality scores are low and nobody knows the root cause
  • Informatica pipelines break when source systems change

What business risk does poor platform setup create?

Poor setup creates slow decisions, unreliable forecasts, weak adoption and expensive rework every time the business needs a new process or report.

  • Forecasting and board reporting become unreliable
  • Teams duplicate work outside the system
  • New automation and AI initiatives inherit bad data

When should Celumai be brought in?

Bring Celumai in when the platform has become important to growth but the current setup cannot support trusted reporting, adoption or scale.

  • Implementation scope is unclear
  • Existing setup needs remediation
  • Integration, data or governance problems are blocking growth

What should the first 30 days produce?

The first 30 days should produce a current-state health view and a realistic platform roadmap.

  • Configuration, data and reporting audit
  • Business process and ownership map
  • Prioritised roadmap by value, risk and effort

Which service scope is most common?

Common work includes implementation, migration, integration, governance, reporting and managed optimisation.

  • Data Governance & MDM
  • Data Architecture Design
  • API & Middleware Architecture

Use these answers to decide whether this page matches your current CRM problem. If it does, ask Celumai for a focused audit and implementation plan.

Plan a Informatica project →

What we deliver

What we deliver on Informatica

End-to-end Informatica delivery from MDM design through production deployment.

Informatica MDM
Customer, product, and supplier master data management on Informatica MDM Hub.
IDMC
Intelligent Data Management Cloud deployment for cloud-first data governance.
Data Quality
Data profiling, cleansing, deduplication, and standardisation at enterprise scale.
Data Integration
ETL and ELT pipeline development for CRM, ERP, and data warehouse connectivity.
MDM to CRM
Connecting Informatica MDM golden records to Salesforce or HubSpot as the operational CRM.
Data Catalogue
Informatica Axon data catalogue implementation for enterprise data discovery.

Why clients choose us

Why enterprises choose Celumai for Informatica

01

MDM architecture first

We design the master data model -- entity types, survivorship rules, trust scores, and source hierarchy -- before deploying any Informatica component. Architecture decisions made in the wrong order are expensive to reverse.

02

CRM-connected MDM

Informatica MDM golden records only create value when connected to the CRM. We design the bidirectional feed so Salesforce or HubSpot always reflects the MDM single source of truth.

03

Quality before volume

More data through a broken quality pipeline is worse than less data through a clean one. We fix the quality layer before scaling any Informatica deployment.

Sound familiar?

Problems we fix on
Informatica

Informatica MDM is deployed but the CRM still has duplicates
01 — Informatica MDM is deployed but the CRM still has duplicates

Informatica MDM is deployed but the CRM still has duplicates

MDM golden records exist but the CRM is not consuming them. The pipelines were never built or are not running correctly. We connect MDM output to the CRM so every system reflects the single source of truth.

Data quality scores are low and nobody knows the root cause
02 — Data quality scores are low and nobody knows the root cause

Data quality scores are low and nobody knows the root cause

Informatica Data Quality is profiling the problem but not fixing it. We identify the source system issues, data entry patterns, and integration gaps that are generating the dirty data in the first place.

Informatica pipelines break when source systems change
03 — Informatica pipelines break when source systems change

Informatica pipelines break when source systems change

Pipelines were built without proper schema change handling. Every source system update breaks something downstream. We rebuild with schema evolution handling and monitoring built in.

Client outcomes

What we have delivered with

All case studies →
Automated Regulatory Reporting for a Mid-Size Insurer Built on Informatica
Reporting time cut from 3 weeks to 4 days

Automated Regulatory Reporting for a Mid-Size Insurer Built on Informatica

Mid-Size Property & Casualty Insurer

A mid-size insurer automated quarterly regulatory reporting on Informatica, cutting prep time from 3 weeks to 4 days…

3 weeks to 4 days
Regulatory report preparation time
6
Source systems automatically reconciled
100%
Data lineage traceability
6 months
Implementation timeline
Read full case study →
Master Data Management Implementation for a Retail Banking Group – 12 Million Customer Records Unified
140% duplicates → 1.8%

Master Data Management Implementation for a Retail Banking Group – 12 Million Customer Records Unified

Retail Banking Group

A retail banking group with 12 million customers across three acquired banks had three separate customer databases with…

12M
Customer records unified
1.8%
Duplicate rate (from 140%)
£18M
First-year cross-sell uplift
4 hrs
Regulatory reporting time
Read full case study →
Product Master Data Governance for a Global Consumer Goods Company
14 weeks → 3 weeks product launch

Product Master Data Governance for a Global Consumer Goods Company

Global Consumer Goods Company

A consumer goods company with 42,000 active SKUs across 28 markets was managing product data in 6 different…

42,000
SKUs under governance
3 weeks
Product launch time (from 14)
94%
Write-off reduction
99.6%
Data consistency
Read full case study →

FAQ

Informatica questions answered

Everything you need to know about working with Celumai on Informatica.

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