Case Studies

PDI automates SAS to IDMC migration with AI.

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Wed, 04 Jun 2025 14:33:46 GMT

Modernizing Global Logistics Provider’s Data System: PDI Automates SAS to Informatica IDMC Migration Using AI-Powered Framework

Migration of PowerCenter to IDMC migration for luxury cruise firm.

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Wed, 26 Mar 2025 12:35:32 GMT

Transforming Data Management: Seamless Migration from Informatica PowerCenter to IDMC for a Global Luxury Cruise Leader

Data-Driven Decisions with Real-Time SAP Integration Using IDMC

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 10 Feb 2025 14:16:27 GMT

Transforming Data Integration: PDI Streamlined Operations for Leading Manufacturer of Health Products

Data Integration and Performance with Informatica 10.5.3 Upgrade

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Thu, 02 Jan 2025 19:42:11 GMT

Enhancing a Leading Hotel and Casino’s Performance with PDI’s Expertise and Informatica Upgrade

Leading tech firm gains an edge with PDI and Informatica IDMC.

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Thu, 02 Jan 2025 19:42:02 GMT

Our Customer Accelerates Data and Analytics Capabilities with a Seamless Migration to Informatica’s Intelligent Data Management Cloud (IDMC)

PDI assisted a Leading Technology Company to transform its on-premises data integration environment into a cloud-native architecture, accelerating decision-making and driving operational excellence. With PDI’s proven delivery approach, they realized immediate value while maintaining budget and timeline commitments, solidifying its competitive edge in a rapidly evolving market.

Steris transforms analytics with Informatica IDMC migration.

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 07 Oct 2024 11:46:36 GMT

Steris Gains Competitive Edge with PDI’s Expertise and Informatica IDMC Migration in Healthcare.

ICICI LOMBARD IDMC Modernization

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 01 Apr 2024 23:26:13 GMT

ICICI LOMBARD IDMC Modernization: Revolutionizing Cloud Data Management at ICICI Lombard

99%

Mappings Automatically Converted

55%

Reduction in Integration Costs

45%

Cost Savings in the Cloud

ICICI LOMBARD, one of the leading general insurance company in India, recognized the need to modernize its data management infrastructure to meet the evolving demands of the digital age. In partnership with PDI, an Informatica-certified implementation partner, ICICI LOMBARD embarked on a journey to migrate from its legacy Informatica PowerCenter environment to the cutting-edge Intelligent Data Management Cloud ( IDMC) platform. This case study explores the successful migration project, highlighting the challenges faced, the solutions implemented, and the benefits realized.

The rapid evolution of technology necessitates that businesses adapt and innovate continuously. This case study explores the paradigm shift towards cloud computing, a fundamental transformation in IT resource management. McKinsey's research highlights the potential of cloud adoption, particularly for Fortune 500 companies, suggesting an unlocking of over $1 trillion in value by 2030 through 700 use cases.

“Migrating to IDMC from Informatica PowerCenter ensured a seamless transition of our decades of data integration workload into a modern administration-free platform with better performance. We were able to harness our team’s extensive experience with Informatica low code, no code products and retool our employee base with relative ease. The migration factory from Informatica and the Data Validation Framework from PDI, our chosen System Integrator, ensured we didn't have to change any of our business logic and validate the data in an automated and auditable way using the new cloud platform.

A migration of this scale was not a small and easy one. But PDI who worked on it were always ready to be flexible as and when we requested. This team went beyond their commitment and delivered this project within the timelines we wanted them to complete, and this does not happen very often. We are fortunate to have worked with this amazing TEAM PDI who delivered what they promised”

Yatish Bhatia

Vice President – Technology, ICICI Lombard

Innovating Cloud Modernization with AI-Powered Automation

ICICI Lombard experienced escalating demands on its data management infrastructure as the insurance industry witnessed a surge in data volume, diversity, and the pace at which it needed to be processed. Transitioning to a cloud-based platform posed a significant challenge, requiring careful management to minimize disruption and maximize efficiency.

Maximizing return on investment (ROI) was paramount, necessitating a balance between modernizing the data infrastructure and optimizing costs. Flexibility and scalability were crucial to adapt to the evolving data landscape and accommodate business growth effectively.

Managing massive data volumes while maintaining stringent data security and compliance with regulations emerged as key concerns. Seamless integration of the new cloud-based platform with existing systems without disrupting ongoing operations was deemed essential to maintain business continuity and efficiency. Ensuring data quality and consistency throughout the migration process was crucial to mitigate risks of errors and disruptions to business operations.

Addressing cost and resource management was imperative, considering the expenses associated with hardware, software licenses, and skilled resources required to maintain the legacy environment. Strategically managing these considerations played a pivotal role in ICICI LOMBARD's efforts to modernize its data infrastructure effectively. By navigating these challenges thoughtfully, ICICI LOMBARD aimed to enhance its operational efficiency, adaptability, and compliance with regulatory standards, thereby ensuring its continued success in a dynamic and data-driven industry landscape.

“Informatica empowers us to effortlessly build and scale across various HyperScaler (AWS/GCP/Azure etc), enhancing our efficiency, reducing implementation costs, and accelerating our time to market for new customer services”.

Yatish Bhatia

Vice President – Technology, ICICI Lombard

Leveraging PDI's proficiency in cloud modernization, Informatica IDMC Platform, PDI orchestrates a seamless transition for ICICI Lombard

ICICI Lombard embarked on a strategic collaboration with PDI to facilitate a smooth transition from their existing Informatica PowerCenter to the advanced Intelligent Data Management Cloud (IDMC) platform. PDI streamlined the PowerCenter to IDMC migration using Automated Migration Framework, which bulk-translated SQL and workflows with speed and precision. The PDI Data Validation Framework ensured end-to-end testing, delivering complete confidence in data integrity and functional parity. This automation-first approach enabled faster modernization with reduced manual effort and minimized risk.

The project began with a meticulous assessment and Planning phase under the guidance of PDI. During this initial stage, PDI evaluated the existing PowerCenter assets, undertaking a comprehensive analysis that included mappings, workflows, sessions, and more. This led to a well-crafted migration plan detailing the necessary timelines, resources, and strategies for risk mitigation. PDI's recommendation to adopt the IDMC platform was based on its powerful data management capabilities, which are well-suited to meet ICICI Lombard's future requirements. The ensuing Data Migration phase was carried out with precision, involving the conversion and integration of data assets. PDI employed its Informatica Intelligent Migration Factory expertise to automate the migration process while also manually redesigning select assets to ensure seamless integration into the new cloud environment.
The validation of business logic integrity was crucial. PDI compared target tables, made necessary adjustments for endpoint changes, and verified data consistency to prevent any loss of functionality. Furthermore, they reorganized ICICI Lombard's data management structure for enhanced efficiency, focusing on mappings, users, access control, and the best practices for organizing business units, applications, and ETL loads into coherent projects and folders. As ICICI Lombard's teams were being trained on the new platform, PDI was preparing the system for production. They transitioned ICICI Lombard to production readiness, updating schedulers, scripts, and security standards, and implementing REST-based API scheduling to ensure a smooth operational transition.
Finally, PDI optimized the system to enhance efficiency, tuning performance, and applying best practices to ensure that ICICI Lombard's modernized data management platform operated at peak performance. This end-to-end journey equipped ICICI Lombard to independently manage the IDMC platform, with PDI providing ongoing support and monitoring to ensure continued success post-migration.

U.S. Natural Gas & Electric Company

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 01 Apr 2024 23:25:26 GMT

Our team used GPU accelerated deep learning to increase efficiency, upgrade performance, and significantly boost productivity.

Company Profile

This public utility provides natural gas and electricity to 6.7 million of Michigan’s 10 million residents, serving customers in all sixty-eight of the state’s Lower Peninsula counties.

Products & Services

Our team used GPU accelerated deep learning to increase efficiency, upgrade performance, and significantly boost productivity. Our team also installed and upgraded a number of Python libraries, including TensorFlow, H2O, Keras, Imblearn, Torch, XGBoost, CatBoost, and Fastai.

Business Challenges

As the client was unable to reduce utility consumption in the commercial sector, they set their focus on reducing residential sector consumption. One method to achieve this was the energy-efficiency programs AC Peak Cycling, Smart Thermostat, and Peak Time Rewards. However, when customers did not sign up for the appropriate power-saving program that fit their needs:

Residential sector consumption was not effectively reduced
Potential electricity savings were not realized, costing the company potential revenue

Customers were dissatisfied with the results/benefits of the program they signed up for Compounding the problem were some additional roadblocks:

Project Goals

The primary goal of this project was to create a program-based recommender model for 1.3 million residential Demand Response Contract Accounts. This model would predict customer preference for three energy-efficiency programs -- AC Peak Cycling, Smart Thermostat, and Peak Time Rewards -- and rank the programs in order of the customer’s preference.

Additionally, the client wanted a channel-based recommender model to find the optimal outreach channel for customers enrolled in the AC Peak Cycling program. This predictive model would rank email, direct mail, and phone in order of customer preference, to determine the most effective mode of communicating with each customer.

Project Results

Our team aggregated the customer prediction results of three different prediction models: H2O’s Gradient Boosting, LightGBM and Deep Neural Networks. Based on these, our team built robust Machine Learning-based predictive models that analyzed customer usage and demographics data to accurately predict the probability of a consumer enrolling in one of three programs. Out of 74,000 early enrollments, 94% of customers who joined the AC Peak Cycling program were successfully predicted by our team’s model.

Our team also developed the ability to make accurate recommendations for which channel of communication a customer would prefer (i.e. email, direct mail or phone). This empowered the company to more accurately budget their marketing spend for each communication channel and reach out to customers via the most effective channel.

Additional Project Results

Overcame the data insufficiencies of nascent programs with boosting and sampling techniques, providing results on par with the company’s data requirements
Optimized existing code and updated modules to streamline the data pipeline
Increased productivity, operational performance, data integration capabilities, and overall data quality
Upgraded the ML server to handle any Machine Learning framework
Streamlined SQL queries and made SQL and Python aspects of the code modular for ease of handling and usability
Wrote custom-code to optimize the memory usage of datasets, thereby decreasing runtimes and increasing computational efficiency

Con-way Freight - Built a Business Intelligence Solution

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 01 Apr 2024 23:24:21 GMT

Con-way wanted a scalable and consistent data integration platform that could be leveraged across their entire business. This would create an effective business intelligence solution and improve operations.

Company Profile

Con-way Freight is a motor carrier headquartered in Ann Arbor, Michigan. Founded in 1983, Con-way Freight has become a global transportation leader with over twenty thousand employees.

Business Challenges

To reach the desired level of transport operation sophistication, the coordination of sales, marketing, HR, and delivery tracking required more a precise movement of information
To fulfill a strategic initiative that would allow managers to get highly-granular answers to nearly any question

Project Goals

Empower drivers to up-sell & cross-sell services via hand-held marketing applications
Give decision makers actionable insights by mining company data stored across multiple applications and databases
Build a consistent, consolidated data architecture that is robust enough for multiple teams

Project Results

Increased efficiency in cross-dock operations lowers operational expenditure
Customer loyalty and margin expansion are increased
Data integration development time is reduced by 20%
Informatica PowerCenter & PowerExchange are implemented with a MicroStrategy BI Solution and Netezza data warehouse
Hand-coded data integration is replaced with an automated data integration platform
A scalable framework allows for consistent and efficient analytics, ensuring decision makers receive actionable enterprise data

U.S. Utility Company - Oracle Utilities Customer Care and Billing UPGRADE

marketing@pacificdataintegrators.com (Posted by PDI Marketing Team) — Mon, 01 Apr 2024 23:22:45 GMT

Boost the quality of customer data, and support a 360-degree customer view by eliminating the source of data duplications

Company Profile

The largest gas and electric utility on the West Coast, serving customers for over 100 years. Over 20,000 employees provide electricity and natural gas to over 15 million people.

Project Goals

Replace out-of-date CC&B with an updated version that contains better capabilities and is compatible with new patches
Increase the ability to capture customer contact information
Boost the quality of customer data, and support a 360-degree customer view by eliminating the source of data duplications

Business Challenges

An inability to accurately capture customer contact information
Billing errors and customer complaints are caused by a lack of bill validation.
Large numbers of integration errors result in low quality data
Duplications in customer data lead to a fragmented customer view and prevent high-quality customer service
High maintenance costs incur due to a cluttered environment created by the carry over of legacy systems

Project Results

Streamlined data and increased efficiency by removing obsolete data points
Improved the 360-degree customer view by boosting the company’s ability to capture customer contact information
Decluttered the environment by removing unused interfaces and legacy systems
Increased operational performance, integration capabilities, and data quality
Reduced billing errors via a new bill validation feature
Improved contact center productivity and responsiveness by enhancing the user interface