Platforms
Informatica IDMC Implementation and Modernization
We implement Informatica Intelligent Data Management Cloud and modernize PowerCenter estates, so integration, data quality, master data and governance run on one cloud platform.
Modernize Informatica Without Disrupting the Business
Informatica, now part of Salesforce, offers its Intelligent Data Management Cloud (IDMC) as a cloud-native platform covering data integration, application integration, data quality, master data management, data catalog and governance, with the CLAIRE AI engine and CLAIRE GPT assisting developers and stewards. Many enterprises also run large PowerCenter estates that have powered their reporting and operations for years and now need a planned path to the cloud.
Hanoi Technology works with Informatica IDMC and PowerCenter as an engineering team. We assess existing mappings and workflows, plan and execute modernization to Cloud Data Integration, build new pipelines into Snowflake, Databricks or cloud warehouses, configure data quality and MDM, and set up catalog and governance so data consumers can find and trust what they use.
The Challenge
Typical Informatica Challenges
Mature Informatica estates are valuable but often difficult to evolve.
Large PowerCenter Backlogs
Thousands of mappings, sessions and workflows built over many years are hard to inventory. Some are critical, some are unused, and few are documented well enough to migrate confidently.
Key-Person Dependency
Complex transformations and scheduling logic often live in the heads of a few experienced developers. When they move on, every change takes longer and carries more risk.
Integration and Quality in Separate Silos
Pipelines move data quickly, but quality rules and master data sit in different tools or are missing entirely. Downstream teams discover problems after reports are published.
Consumption Pricing Uncertainty
Moving to IDMC changes how costs are calculated. Without understanding workload patterns, teams struggle to forecast consumption and to optimize jobs.
Business Value
What Informatica Modernization Delivers
Cloud-Native Integration
Cloud Data Integration runs pipelines elastically, including pushdown processing into cloud warehouses. Infrastructure maintenance for on-premises servers disappears.
Preserved Business Logic
Automated conversion tools and careful validation keep years of tested transformation logic intact. You modernize the platform without rewriting the business.
Trusted Data at the Source
Cloud Data Quality rules and profiling are applied within pipelines. Bad records are caught, routed and fixed before they reach consumers.
Unified Master Data
Informatica MDM creates governed records for customers, products, suppliers or other domains. Operational systems and analytics share consistent identifiers.
Findable, Governed Data
The data catalog and governance services provide lineage, glossary and ownership. Analysts know where data comes from and who to ask about it.
AI-Assisted Development
CLAIRE GPT and CLAIRE agents help generate mappings, explain pipelines and suggest quality rules. Developers move faster while reviews keep standards high.
Inventory Before You Migrate
The most successful PowerCenter modernizations start with a thorough inventory that separates critical, redundant and dead workloads. Retiring unused mappings before migration reduces scope, cost and testing effort, and gives the team a cleaner platform to maintain afterward.
Our Services
Hanoi Technology’s End-to-End Informatica Services
We support Informatica programs from assessment to long-term operations.
Informatica Estate Assessment
We analyze repositories, workflow schedules, run histories and dependencies to classify mappings by usage, complexity and criticality. The result is a modernization plan with effort estimates.
- Repository inventory and classification
- Dependency analysis
- Modernization plan and estimate
PowerCenter to IDMC Modernization
We use Informatica’s modernization tooling plus manual refactoring to move mappings and workflows to Cloud Data Integration. Every wave is validated with row counts, checksums and business reconciliation.
- Converted mappings and taskflows
- Validation and reconciliation reports
- Cutover and rollback plans
New Data Integration Pipelines
We build pipelines from applications, databases, files and APIs into Snowflake, Databricks, BigQuery, Redshift or Azure targets. Pushdown optimization is used where it reduces cost.
- Integration design
- Production pipelines
- Monitoring and alerting
Data Quality Implementation
We profile data, design quality rules with business owners and embed them in pipelines. Exceptions are routed to stewards with clear remediation steps.
- Profiling results
- Rule library
- Exception workflows
Master Data Management
We model domains, configure match and merge rules, design survivorship and integrate MDM with source and consuming systems. Stewards validate results before go-live.
- Domain model
- Match and merge configuration
- MDM integration services
Catalog, Governance and Operations
We configure catalog scans, lineage and business glossary, and provide ongoing operations for IDMC environments. Weekly written updates keep stakeholders informed.
- Catalog and lineage setup
- Governance operating model
- Managed operations reports
Our Approach
Our Informatica Delivery Approach
We reduce risk by validating every step against production behavior.
- 01
Inventory and Classify
Repository metadata and run histories are analyzed to understand what runs, how often and what depends on it. Unused or redundant objects are flagged for retirement.
Deliverables: Classified inventory · Retirement candidate list
- 02
Design the Target Platform
We design the IDMC organization structure, runtime environments, connections, security and naming standards. Integration with target data platforms is planned.
Deliverables: Target architecture · Standards and conventions
- 03
Pilot a Representative Wave
A pilot wave covers simple and complex mappings to validate conversion tooling, performance and testing procedures. Lessons are used to refine estimates.
Deliverables: Pilot results · Refined estimates
- 04
Migrate and Validate in Waves
Remaining workloads move in waves with automated testing and business reconciliation. Parallel runs confirm outputs match before cutover.
Deliverables: Wave reports · Reconciliation sign-offs
- 05
Decommission and Operate
Legacy servers and licenses are retired once all dependencies are moved. Our team can continue operating and extending the IDMC platform.
Deliverables: Decommissioning checklist · Operations runbooks
Use Cases
Informatica Use Cases We Deliver
Typical scenarios for organizations running Informatica.
PowerCenter Exit Program
A company with a large PowerCenter estate migrates to Cloud Data Integration in waves. On-premises servers are retired and pipelines run elastically in the cloud.
Cloud Warehouse Loading
Data from ERP, CRM and operational databases is loaded into Snowflake or Databricks with pushdown processing. Load windows shrink and transformation runs where the data lives.
Customer Master for Sales and Service
Customer records from several CRM and billing systems are matched and merged in MDM. Sales and service teams work from one consistent customer view.
Regulatory Data Quality
Quality rules monitor the data elements behind regulatory submissions. Exceptions are tracked to resolution with an audit trail.
Application Integration
Order and inventory events flow between ecommerce, ERP and logistics systems using application integration services. Manual re-keying between systems ends.
Data Catalog for Analysts
Analysts search the catalog for certified datasets with lineage and definitions. Fewer duplicate datasets are created and onboarding new analysts is faster.
Technology
Technologies in Our Informatica Work
We combine Informatica services with leading data platforms and tools.
- Informatica IDMC
- Cloud Data Integration
- Cloud Application Integration
- Cloud Data Quality
- Informatica MDM
- Cloud Data Governance and Catalog
- CLAIRE GPT
- PowerCenter
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Microsoft Azure
- Salesforce
- SAP
- Oracle Database
Platforms
Deliver Informatica on Your Preferred Platform
- InformaticaEnterprise data integration, quality and governance.Explore
- SnowflakeElastic cloud data platform for analytics and data sharing.Explore
- DatabricksUnified lakehouse for data engineering, analytics and AI.Explore
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Fintech
All-in-one digital banking app for a traditional bank
A traditional financial institution wanted to compete with neobanks for mobile-first customers. We replaced a set of separate banking, investing and payment apps with one product that people use every day.
Read the Full StoryMore Success Stories
Logistics
−25%operational costsRoute optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
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Plan Your Informatica Modernization
Book a free consultation to discuss your PowerCenter estate or IDMC plans. We reply within 24 hours and can outline an assessment approach in the first call.
Informatica FAQ
Is Hanoi Technology an official Informatica partner?
We do not claim official Informatica partner status. We are an engineering team that implements and modernizes Informatica solutions for organizations that hold Informatica licenses. Your subscription and product support remain with Informatica. Our focus is assessment, conversion, pipeline development, data quality, MDM, catalog configuration and ongoing operations.
How do you migrate PowerCenter to IDMC?
We start with a detailed inventory and classification, then use Informatica’s modernization tooling to convert eligible mappings and workflows. Objects the tools cannot convert cleanly are refactored manually. Every wave is tested with automated comparisons of row counts, checksums and key business totals, followed by business reconciliation and parallel runs. Cutover happens only after outputs match.
How long does a PowerCenter modernization take?
Duration depends mostly on the number and complexity of mappings, the share of unused objects that can be retired, testing requirements and how many downstream teams must sign off. Smaller estates can migrate in a few months, while large enterprise estates take longer and run in many waves. A pilot wave gives reliable data for estimating the full program.
What drives the cost of an Informatica project?
Key drivers are inventory size and complexity, custom code such as stored procedures or scripts called from workflows, testing and reconciliation depth, MDM or data quality scope, and integration with target platforms. Retiring unused objects is one of the most effective ways to reduce cost. We provide phased estimates and can engage as a project team, a dedicated team or a managed service.
Can Informatica work with Snowflake and Databricks?
Yes. IDMC provides connectors and pushdown optimization for major cloud data platforms, so transformations can execute inside Snowflake, Databricks or other warehouses. We commonly design pipelines where Informatica handles ingestion, quality and orchestration while the cloud platform handles heavy transformation and analytics, which keeps processing close to the data.
How do CLAIRE AI features help our team?
CLAIRE GPT lets developers and stewards use natural language to explore metadata, generate or explain mappings and get suggestions for quality rules. CLAIRE agents extend this to automating parts of data management. We use these features to speed up development and documentation, while keeping code review and testing standards in place so AI-generated work is checked before it reaches production.