Prowesssoftware

Informatica Consulting Services

Trusted data, in every system that needs it.

Give teams consistent information for decisions, customer service and AI. ProwessSoft helps you modernize legacy data with Informatica IDMC, connect data and applications, and build trusted master records that reach the systems where people work.

Close the gaps between moving data and trusting it.

Legacy workloads with undocumented business rules

Conflicting customer and product records

Disconnected data and application integrations

Unclear data origins and quality for AI

Data and integration expertise in one practice.

Modernize around the business case

Assess workloads, dependencies and costs. Decide what to retire, convert or redesign, then validate each delivery phase before cutover.

Integrate for everyday use

Connect data pipelines with operational workflows so trusted information reaches CRM, ERP, analytics and other business systems.

Master and maintain

Establish consistent records and accountable data owners. Build quality checks, monitoring and support into delivery so the foundation remains useful after launch.

Informatica Delivery Strength

ProwessSoft brings Informatica and MuleSoft expertise together for data and application integration as one architecture.

80+

Total Experts

15

Architects

25

Sr. Developers

70+

Certifications

Modernize, integrate and master the data your business depends on.

Intelligent Data Management Cloud (IDMC)

Bring data integration, quality, governance and master data capabilities together. Connect cloud and on-premises sources to establish a shared foundation for trusted information.

PowerCenter modernization

Move selected PowerCenter workloads toward IDMC. Preserve essential business logic, retire unused mappings and validate outputs before switching production workloads.

Cloud data integration

Build pipelines across cloud and on-premises sources. Keep reporting and analytics supplied with timely information, using batch or change data capture where appropriate.

Master data management (MDM)

Match and reconcile customer, product, supplier or student records. Define stewardship and publish trusted records to the applications that need them.

Data quality and governance

Establish quality rules, common definitions, ownership and visibility into data origins. Support dependable reporting and controlled use of information by AI models and agents.

Informatica and MuleSoft integration

Design data pipelines and application connections together. Coordinate quality checks and reusable APIs so operational teams and analytics work from consistent information.

Assessment, enablement and ongoing support

Start with an assessment or a focused MDM pilot. Use reusable delivery assets, establish platform standards and plan monitoring, tuning and support as the environment grows.

CLAIRE AI enablement

Use CLAIRE GPT for natural-language data discovery and CLAIRE Copilot for data integration tasks. Plan permissions, human review and validation around a focused use case.

Apply trusted data to the work your industry depends on.

Results from modernization and trusted data delivery.

400+

PowerCenter mappings migrated
A North American bank moved to IDMC and retired legacy infrastructure on schedule, with no production regressions reported.

More than 85%

fewer duplicate member records
A US payer established an MDM hub and APIs to share trusted member records.

30 to 40%

faster reporting cycles

A manufacturer centralized data ingestion on Informatica with a shared data model.

30%

faster onboarding of media data sources

A global retailer centralized media data ingestion on Informatica Cloud and Snowflake.

Results from separate customer engagements; outcomes depend on scope and the existing data environment.

Insights

Case studies / Blogs / Whitepapers / Demos

Case studies

Explore examples of PowerCenter modernization, enterprise data integration and master data delivery.

Blogs

Explore workload prioritization, data ownership and the roles of Informatica and MuleSoft.

Whitepapers

Examine data foundations for AI, modernization planning and master data strategy.

Demos

Discuss a walkthrough of an integration flow, quality check or trusted master record.

Frequently asked questions

Do we have to migrate every PowerCenter workload?

No. Assess usage and dependencies first. Retire unused workloads and decide which to convert or redesign. Confirm support entitlements for your installed version with Informatica.

Do we need both Informatica and MuleSoft?

No. Select capabilities around your requirements. Informatica and MuleSoft can complement each other, but existing tools may already serve parts of the solution.

Can we start with one data domain?

Yes. A focused MDM pilot can test matching, quality and stewardship for one domain before expanding.

What determines cost and timelines?

Workload complexity, data quality, system access, licensing and validation requirements shape the estimate. An assessment establishes delivery phases and dependencies.

Bring us the data challenge you are working on.

Tell us where legacy workloads, conflicting records or disconnected systems are slowing progress. Let’s identify a practical starting point.

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