AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Informatica PowerCenter Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Aegon Insurance 15700 $32.5B Netherlands Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
In 2015, Aegon implemented Informatica PowerCenter as its Extract, Transform, and Load (ETL) platform. The rollout supported multiple concurrent projects across the enterprise, with documented service expansion from design and development through formal transition to production and ongoing operation support. Informatica PowerCenter implementations centered on reusable mapping and workflow construction to support master data management, data warehouse and data vault solution patterns. Development teams applied mapping logic, session orchestration and parameterization to manage batch consolidation and application-level data transformations consistent with ETL best practices. Integrations explicitly included Oracle database sources, Salesforce for CRM synchronization, and Microsoft BI components such as SSIS and SSRS, along with web service and XML interfaces for application-to-application exchange. These integrations tied the Informatica PowerCenter ETL layer to MDM and Salesforce integration projects, enabling consolidated upstream data ingestion and downstream reporting pipelines. Operational governance covered the transition to production and ongoing operation support, with formalized deployment and change control workflows and handoff processes to run operations. The implementation emphasized sustained service support and iterative project execution to scale ETL capabilities across data engineering, BI and CRM integration functions.
Bread Financial Banking and Financial Services 6000 $3.8B United States Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2020 n/a
In 2020, Bread Financial implemented Informatica PowerCenter as its core Extract, Transform, and Load (ETL) platform to centralize enterprise data ingestion and quality processing for EDW and payment data domains. Informatica PowerCenter was deployed alongside Informatica Developer and IDQ tooling to provide a combined ETL and data quality footprint supporting analytics, reporting, and operational data stores. The implementation delivered a mix of ETL mappings and data quality artifacts, including reusable business rule mapplets, mappings, CDOs, LDOs, PDOs, profiles, workflows, applications, and scorecards. Teams used Informatica Power Center/Developer 10.5.4 with Informatica Analyst 10.5.4 and Informatica Administrator Monitor 10.5.4 to build parser, match, labeler, standardizer, comparison, and merge transformations for data enrichment and reliability. Integrations included Netezza as EDW source systems, Snowflake for Bread Pay data sources available directly in the IDQ environment, Microsoft SQL Server for scorecard metadata and reporting, flat file outputs for Netezza mappings, and UNIX file transfer tooling. The implementation explicitly routed performance-sensitive EDW mappings through Informatica PowerCenter when IDQ could not support the workloads, while IDQ was used for profiling, scorecards, and rule development where connectors allowed. Operational governance centered on data governance practices for critical data elements, with cross-functional collaboration between data analysts, data stewards, and data owners to define data quality dimensions such as completeness, validity, consistency, uniqueness, integrity, and timeliness. Development and remediation followed agile practices, with an onshore and offshore developer team tracked in Jira, daily standups, PIP reviews, configured scorecard thresholds and email notifications, and automated weekly data quality reports driven from scorecard metadata tables.
Chubb USA Insurance 31000 $13.0B United States Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2017 n/a
In 2017, Chubb USA implemented Informatica PowerCenter to support Extract, Transform, and Load (ETL) workloads. The CHUBB CLAIMS MANAGED SERVICES engagement ran from 13APR2020 to 23SEP2020 and leveraged Informatica PowerCenter together with Intelligent Informatica Cloud Services and Data Validation Option tools to ETL claims data into a Common Business Definition claims data warehouse hosted in the cloud. The implementation centered on building Informatica PowerCenter mappings and workflows to automate daily ingestion from multiple Claims Administration Systems, applying ETL transformations such as Aggregator, Filter, Router, Normalizer, and both connected and unconnected Lookup logic. Development included stored procedures, triggers, functions and packages in the database tier, along with UNIX shell scripts and Autosys orchestration to validate files and automate end to end execution. The runtime environment cited Informatica 10.2, IICS, Oracle, Azure, Windows, Unix and flat file sources. Operational coverage focused on US claims systems across multiple lines of business, with a 12 person delivery team coordinating with product owners and technical leads from source systems that feed the warehouse daily. The project integrated new predictive analytics models for Special Investigative Unit, Subrogation, and Oversight into the existing claims administration workflows, and positioned the Common Business Definition claims data warehouse as the platform of choice for self serve Business Intelligence applications that manage claims operational performance metrics. Governance and delivery practices emphasized thorough requirements capture with business partners, detailed source to target mappings, data lineage documentation, and data model diagrams to support offshore development. Code review, unit testing across business scenarios, impact analysis for new requirements, and performance tuning at source, target, mapping, session and system levels were defined as core controls. The program also included intelligent process automation work to simplify and expedite First Notice of Loss registrations and an explicit program objective to retire outdated predictive models through integration of the new models into claims operations.
CIBC Private Wealth Management US Banking and Financial Services 800 $300M United States Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2012 n/a
In 2012 CIBC Private Wealth Management US implemented Informatica PowerCenter as its Extract, Transform, and Load (ETL) platform. The Informatica PowerCenter deployment centered on a centralized data warehouse architecture to consolidate disparate source data for reporting and analytics across the US private wealth business. Development focused on reusable ETL processes to extract, transform and load data into target database tables and extract files, with developers creating development workbooks and scalability test plans prior to promotion to User Acceptance Test. Data integrity checks and database schema designs were implemented to validate source quality and to support conversions and acquisitions. Automation of scheduled jobs removed manual interventions and ensured data availability for business use in a timely manner. Integrations included interfaces to multiple source systems and vendor supplied feeds to aggregate customer, transaction and account data into the Data Warehouse and Data Mart layers. Work with external vendors was managed through a liaison role to resolve data issues and to coordinate interfaces and load schedules. QA personnel executed test plans to verify ETL quality and to govern promotions through the testing lifecycle. Governance emphasized pre UAT approvals, scalability validation and formal testing to control production promotions, while developers supported data conversion projects by designing end to end business process flows and database schemas for acquisitions and new projects. The result was a governed Informatica PowerCenter implementation that centralized data warehousing processes and provided scheduled, tested ETL pipelines for reporting and operational consumption.
Claro Brasil Communications 10000 $6.8B Brazil Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
In 2015, Claro Brasil implemented Informatica PowerCenter in its Extract, Transform, and Load (ETL) environment. The deployment targeted BI production operations based in São Paulo and Region, Brazil and focused on centralized ETL orchestration and production monitoring. The Informatica PowerCenter implementation operated across Monitor, Repository, and Workflow Manager environments, with batch scheduling coordinated via Control-M and routine troubleshooting executed with PL/SQL scripts. Functional capabilities emphasized workflow orchestration, repository version control, error monitoring, and automated process execution to support ongoing BI production activities. Operational scope was the BI PRODUCTION area, where production analysts implemented new processes, analyzed and monitored ETL workflows, and worked directly with development and support teams to resolve incidents and apply change requests. The environment coexisted with applications identified as BIG_DATA, ALTERIX, and DBM, indicating integration points for upstream data sources and downstream analytic processes, and governance relied on implemented monitoring routines and workflow management practices.
Banking and Financial Services 4000 $793M United Kingdom Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
Life Sciences 5500 $1.6B Australia Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2017 n/a
Retail 19000 $4.3B Italy Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2017 n/a
Retail 150000 $22.0B Brazil Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
Insurance 95500 $83.1B United States Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2018 n/a
Showing 1 to 10 of 21 entries

Buyer Intent: Companies Evaluating Informatica PowerCenter

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Informatica PowerCenter. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Informatica PowerCenter for Extract, Transform, and Load (ETL) include:

  1. Sage IT Inc, a United States based Media organization with 100 Employees
  2. Rinnai Italia, a Italy based Distribution company with 11 Employees
  3. Modern Aviation, a United States based Transportation organization with 210 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Informatica PowerCenter Coverage

Informatica PowerCenter is a Extract, Transform, and Load (ETL) solution from Informatica.

Companies worldwide use Informatica PowerCenter, from small firms to large enterprises across 21+ industries.

Organizations such as Johnson & Johnson, Wells Fargo, Humana, Merck and Woolworths Group are recorded users of Informatica PowerCenter for Extract, Transform, and Load (ETL).

Companies using Informatica PowerCenter are most concentrated in Life Sciences, Banking and Financial Services and Insurance, with adoption spanning over 21 industries.

Companies using Informatica PowerCenter are most concentrated in United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Informatica PowerCenter across Americas, EMEA, and APAC.

Companies using Informatica PowerCenter range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 9.52%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 57.14%.

Customers of Informatica PowerCenter include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Informatica PowerCenter customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Extract, Transform, and Load (ETL).