AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Informatica PowerCenter Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
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.
Banking and Financial Services 800 $300M United States Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2012 n/a
Communications 10000 $6.8B Brazil Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
Banking and Financial Services 4000 $793M United Kingdom Informatica Informatica PowerCenter Extract, Transform, and Load (ETL) 2015 n/a
Life Sciences 4996 $1.5B 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 65680 $117.8B 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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