Informatica Consulting Services for Data Quality, MDM, and Salesforce Data Integration
Cymetrix is a certified Informatica consulting partner with delivery centres in India and client offices in the USA, UK, Poland, and Japan. We design, implement, and scale Informatica solutions across Intelligent Data Management Cloud (IDMC), Informatica MDM, Informatica Data Quality, and PowerCenter migration: helping enterprises build trusted, governed data foundations that power CRM, analytics, and AI workloads. Informatica is now a Salesforce company (acquired November 2025), and Cymetrix delivers the combined Informatica + Salesforce Data 360 stack as a single, integrated engagement.
We help organisations migrate from Informatica PowerCenter to cloud-native IDMC, implement Informatica MDM to create a single, authoritative master record for customers, products, and accounts, and enforce data quality rules that propagate across Salesforce CRM, Databricks Lakehouse, and downstream BI and analytics tools. Whether you are building a master data management programme from scratch, modernising a legacy PowerCenter estate, or connecting Informatica to your Salesforce Data 360 and Databricks analytics stack, our Informatica consulting services are built to deliver trusted data at enterprise scale.
What sets Cymetrix apart is our connected delivery across the Salesforce + Informatica stack. As a partner for both Salesforce and Informatica, we architect solutions where Informatica MDM and data quality rules are embedded directly into Salesforce Data 360, Databricks Silver and Gold layers, and CRM workflows: so every customer record, product master, and account hierarchy is clean, governed, and trusted before it drives a business decision.
Our Informatica Consulting Services
End-to-end Informatica consulting: from MDM strategy and IDMC implementation to PowerCenter migration, data quality, and ongoing managed services.
Design and implement an enterprise master data management programme: building a single, authoritative golden record for customer, product, account, and supplier data.
MDM programme design: data domain scoping (Customer, Product, Account, Supplier, Location), governance framework, and data stewardship model
Informatica MDM Hub configuration: base objects, landing tables, staging tables, and merge/unmerge rules
Match and merge configuration: fuzzy matching, survivorship rules, and duplicate resolution for customer and account master data
MDM hierarchy management: customer account hierarchies, product category trees, and organisational hierarchies
Informatica MDM and Salesforce integration: bidirectional sync between MDM golden records and Salesforce CRM accounts and contacts
MDM API layer design: REST APIs for MDM golden record access by Salesforce, Databricks, ERP, and downstream systems
Data stewardship UI and workflow: steward task management, exception queues, and approval workflows for record exceptions
Modernise your data management on Informatica Intelligent Data Management Cloud: cloud-native, AI-powered, and natively connected to Salesforce Data 360.
IDMC platform setup: organisation configuration, user management, and connection setup for cloud and on-prem sources
Cloud Data Integration (CDI): ETL/ELT pipeline development for Salesforce, SAP, Oracle, Workday, and cloud data platforms
Cloud Mass Ingestion: high-volume data ingestion from databases, files, and streaming sources into Databricks and cloud warehouses
Data Marketplace on IDMC: governed data product publishing and self-service data access for business teams
CLAIRE AI capabilities: Informatica CLAIRE-powered data discovery, cataloguing, and recommendation
IDMC + Salesforce Data 360 integration: Informatica as the data quality and MDM layer inside the Salesforce Data 360 architecture
Data governance policies: automated data classification, tagging, and lineage tracking across IDMC-connected systems
Migrate your legacy Informatica PowerCenter estate to cloud-native IDMC: reducing infrastructure cost, unlocking AI capabilities, and future-proofing your data pipelines.
PowerCenter estate assessment: full inventory of mappings, sessions, workflows, and transformations with IDMC migration complexity scoring
Migration strategy design: phased migration plan with parallel running, dependency mapping, and rollback planning
PowerCenter to CDI migration: automated conversion of PowerCenter mappings to IDMC Cloud Data Integration pipelines
Legacy transformation modernisation: replacing PowerCenter-specific transformations with IDMC-native equivalents
Performance benchmarking: comparing PowerCenter and IDMC pipeline execution times and resource consumption
Post-migration validation: row count reconciliation, transformation output comparison, and stakeholder sign-off reporting
Decommission planning: PowerCenter infrastructure wind-down after successful IDMC cutover
Enforce enterprise-wide data quality rules: profiling, standardising, matching, and monitoring data quality across every system that touches customer and master data.
Data quality profiling: completeness, accuracy, consistency, and uniqueness assessment across CRM, ERP, and data warehouse sources
Data standardisation rules: address standardisation (USPS/Royal Mail), name parsing, phone and email formatting, and reference data normalisation
Duplicate detection and record linkage: probabilistic and deterministic matching for customer and account deduplication
Data quality rule configuration in IDMC: reusable scorecards, exception routing, and data quality KPI dashboards
Real-time data quality enforcement: validation at point of entry for Salesforce CRM data, API submissions, and batch file loads
Data quality monitoring: automated data quality score tracking with alerting on threshold breaches
Data Quality + Databricks integration: enforcing Informatica quality rules on Databricks Bronze and Silver layer data before Gold layer promotion
Connect Informatica MDM and data quality to Salesforce Data 360: building the unified customer data foundation inside the Salesforce stack.
Informatica MDM + Salesforce CRM integration: bidirectional sync of customer and account master records between MDM Hub and Salesforce
Informatica + Salesforce Data 360 architecture: Informatica as the data quality and MDM enforcement layer inside Data 360 unified profiles
Data 360 segment activation: Informatica-governed customer segments pushed to Marketing Cloud for targeted campaign activation
MuleSoft + Informatica integration pattern: API-led data quality enforcement using MuleSoft Anypoint and Informatica CDQ
Salesforce account and contact deduplication: Informatica MDM match-and-merge rules applied to Salesforce duplicate accounts and contacts
Real-time data quality for Salesforce: Informatica Cloud Data Quality validation at point of CRM data entry and API submission
Informatica + Agentforce: clean, governed master data as the foundation for Agentforce AI agent decisions and actions
Connect Informatica data quality and MDM to your Databricks Lakehouse: ensuring every analytics layer and ML model runs on governed, trusted master data.
Informatica + Databricks integration architecture: data quality enforcement at the Databricks Bronze-to-Silver transition
MDM golden record sync to Databricks: propagating Informatica customer and product master records to Databricks Gold layer
Delta Lake + Informatica data quality: embedding data quality checks in Delta Live Tables pipelines
Unity Catalog + Informatica MDM lineage: end-to-end data lineage from source systems through Informatica MDM to Databricks analytics
Informatica Cloud Mass Ingestion + Databricks: high-volume ingestion into Databricks using Informatica's cloud-native connectors
Data quality monitoring dashboards: Looker and Tableau reporting on Informatica data quality scores across Databricks-served datasets
Informatica + Fivetran complementary architecture: Fivetran for ingestion, Informatica for quality enforcement, Databricks for computation
Keep your Informatica environment running at peak performance: with ongoing administration, monitoring, and continuous data quality governance managed by Cymetrix.
Informatica IDMC platform administration: connection management, user access, and environment configuration
MDM Hub monitoring: match-and-merge performance, duplicate queue monitoring, and exception workflow management
Data quality rule maintenance: updating data quality scorecards, thresholds, and standardisation rules as business requirements evolve
PowerCenter support and optimisation: performance tuning, session monitoring, and job scheduling for retained PowerCenter estates
Integration monitoring: Informatica-to-Salesforce and Informatica-to-Databricks sync health checks and error alerting
Data quality reporting: monthly data quality dashboards with trend analysis and business impact assessment
Quarterly Informatica environment health review and optimisation recommendations
How Cymetrix Powers
Brand Success?
The Cymetrix Informatica Advantage: MDM. Salesforce. Data 360. Databricks.
Most Informatica partners implement MDM in isolation. Cymetrix delivers Informatica as part of a connected data and CRM architecture: where master data quality rules govern every layer of your Salesforce CRM, your Databricks analytics, and your AI workflows.
Informatica is now a Salesforce company (acquired November 2025). Cymetrix delivers the combined stack: Informatica MDM and data quality rules embedded directly into Salesforce Data 360 unified customer profiles, CRM accounts, and contacts. Every customer record in Salesforce is governed by Informatica before it powers a sale, a service case, or a marketing campaign.
Cymetrix connects Informatica MDM golden records to ERP (SAP, Oracle), data warehouses, and downstream BI systems via MuleSoft and custom API architecture. The MDM Hub becomes the authoritative data source across the enterprise: not just another system of record competing with CRM and ERP for the definition of a customer or product.
We connect Informatica data quality enforcement to Databricks Lakehouse architecture: applying MDM rules at the Bronze-to-Silver layer transition so the Databricks Gold analytics layer and ML models run on trusted master data. Data quality scores are tracked in Unity Catalog and surfaced in Looker and Tableau dashboards for data engineering and governance teams.
Cymetrix Industry Solutions Powered by Informatica
Customer-facing data quality and master data management across every sector: ensuring trusted data flows through your CRM, analytics, and AI operations.
Customer MDM: single golden record for retail banking, wealth, and insurance customers across product lines and channels
Advisor and agent master data: clean, governed records for financial advisors, IFAs, and insurance agent relationships in Salesforce
Customer data quality for marketing: Informatica-governed customer segments powering personalised banking and insurance campaigns
Account hierarchy management: organisational hierarchies for institutional banking and group insurance clients in Salesforce CRM
Customer and dealer master data: single golden record for dealer, distributor, and direct customer relationships
Product master management: authoritative product catalogue and specification data for multi-brand, multi-market manufacturers
Supplier master data: governed supplier records connecting procurement and finance systems
Channel partner data quality: clean, deduplicated partner and distributor data for Salesforce CRM and partner portals
Customer master data: deduplicated customer records across e-commerce, loyalty, in-store, and CRM channels
Product information management: authoritative product master data (PIM) for omnichannel retail and marketplace operations
Marketing data quality: Informatica-governed customer data powering personalised marketing via Marketing Cloud and Pardot
Customer data migration: Informatica-powered data cleansing and migration for CRM consolidation or platform transitions
Patient master data: deduplicated patient identity records across hospital systems, clinic networks, and digital health channels
HCP (healthcare professional) master data: governed records for physicians, nurses, and healthcare organisations in Salesforce
Pharma product master: authoritative drug and product catalogue data for commercial and regulatory systems
Provider network master data: clean, governed records for referral networks, specialist panels, and care partnerships
Account and contact master data: deduplicated B2B customer and contact records across Salesforce, HubSpot, marketing automation, and billing systems
Product catalogue management: SaaS product, SKU, and pricing master data for CPQ, billing, and CRM integration
Customer data quality for AI: Informatica-governed customer data as the clean foundation for Agentforce AI agents and Einstein predictive models
Data governance for revenue operations: MDM-powered account hierarchies enabling accurate ARR, NRR, and pipeline reporting
Why Choose Cymetrix for Informatica Consulting?
Certified Informatica consultants delivering MDM, IDMC, data quality, and PowerCenter migration across BFSI, Manufacturing, Retail, Healthcare, and High-Tech.
As partners for both Salesforce and Informatica, we deliver the combined stack: Informatica MDM and data quality embedded into Salesforce Data 360, CRM, and Agentforce from day one.
We connect Informatica to Salesforce CRM, Databricks Lakehouse, MuleSoft, and BI tools: master data quality rules that govern every layer of your data and AI architecture.
Engineering centres in Mumbai and Delhi NCR. Client engagement in USA, UK, and Poland. We work to your timezone and your release schedule.
Certified Informatica Consultants
Salesforce + Informatica Partner
155+ Certified Consultants
USA, UK, India Delivery
Voices of Trust and Partnership
Discover Our Insights, Events & News
FAQs
Ready to Build Your Enterprise Data Foundation with Informatica?
Whether you are implementing Informatica MDM for the first time, migrating a legacy PowerCenter estate to IDMC, or connecting Informatica to your Salesforce Data 360 and Databricks architecture: Cymetrix has the certified expertise, connected delivery model, and track record to take you there. Tell us where you are in your data journey.