Platform re-engineering for operational efficiency

Platform re-engineering for operational efficiency

Banking & Financial

Re-engineering data extraction platform for increased efficiency

A legacy data extraction platform was limiting business efficiency and transaction processing capabilities. Iris system modernization and platform re-engineering platform services advanced the operational efficiency manifold.

Client

One of the top 20 brokerage banks in North America

Goal

Modernize an existing, licensed data platform to meet the increasing volume of transactions and product offerings

Tools and technologies

Python, Core Java, Oracle, ETL Framework, Apache Zookeeper, Anaconda, Maven, Bamboo, Sonar, Bitbucket

BUSINESS CHALLENGE

The client had a licensed data platform for enterprise-wide risk and compliance operations. Spiked volumes with various financial product offerings and trades were restricting the processes and limiting the analytical capabilities on the existing platform. The system upgrade was required to support related, complex credit risk calculations. These calculations serve as a ground for several thousand bankers/ traders to make loan and investment decisions for customers. System modernization would also cater to the internal transaction and regulatory reporting requirements.

SOLUTION

Iris system re-engineering experts designed and implemented a scalable and highly configurable data extraction platform having global data architecture. This ETL framework-based platform enables faster, more efficient onboarding, consolidation, and processing of the numerous variable product and trading data input sources. The re-engineered platform was enabled with value-adds and tools to automate, tabulate, compare, reserve, validate and test data. We integrated the data extraction platform seamlessly with downstream risk applications and system adaptability to accommodate operational/business needs.

OUTCOMES

Our data platform re-engineering solution enabled the client to achieve enormous benefits, including user experience, data quality, and risk management capabilities. Key outcomes of the solution constitute:
  • Quicker, real-time configuration and execution of 500+ jobs for loading trade feed
  • Zeroed downtime, even during the trade reference data changes
  • 15% faster onboarding of the new feed or data source
  • Nearly 20% faster throughput for various critical feeds with parallel processing feature
  • Reduced anomalies and duplication with improved consistency
  • 35-40% savings in annual third-party platform/ module license fees.
  • Standardized and streamlined onboarding processes and turnaround time, scaling the operations efficiencies

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Tech stack automation expedites script development by 3x

Tech stack automation expedites script development by 3x

Manufacturing

Tech stack automation expedites script development by 3x

Manual processes across the multi-technology stack were severely affecting the script development cycles in terms of time, effort and cost. Iris application agnostic Test Automation framework and DevOps integration helped the client reduce the script development time and cost significantly.

Client

A leading building supplies manufacturing company

Goal

To support 30+ applications stack for UI, E2E, APIs, performance, mobile automation along with DevOps pipeline integration

Tools and technologies

.NET Core, PeopleSoft, Salesforce, WMS, JavaScript, Angular, Foxpro, C#, Selenium, SpecFlow, RestSharp, Nunit, Mobile Center/Emulators, Allure, Jira, Azure Pipeline, GitHub

BUSINESS CHALLENGE

The client had technology stacks comprising of diverse technologies that were difficult to manage. Substantial manual effort and time were spent on integrating the checkpoints, elongating the development process. Validating end-to-end business flows across different applications was the prime challenge. Reporting processes were also scattered across the entire application stack, making it vulnerable.

SOLUTION

Iris developed a robust application agnostic Test Automation framework to support the client’s multiple-technology stacks. Following the Behavior-driven Development (BDD) approach to align the acceptance criteria with the stakeholders, we built business and application layers of the common utilities in the core framework. Our experts identified E2E business flows to validate the downstream impact of the change and automated the entire stack through the shift-left approach. Azure DevOps integration enabled a common dashboard for reporting. The client attained complete version control to track production health and enforce strong validations.

OUTCOMES

Iris Automation solution enabled the client to surpass several business goals. The key outcomes of the delivered solution included:

  • ~65% Increase in automation coverage
  • 100+ Pipelines for in-scope applications across multiple environments
  • 3700+ Test Automation scripts execution per sprint cycle achieved across applications
  • 3X Faster script development of behavior-driven test cases 
  • Multi-day manual test effort reduced to a few hours of automated regression 
  • 70% Reduction in effort

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IT modernization boosts Insurance customer base

IT modernization boosts Insurance customer base

Insurance

IT modernization boosts Insurance customer base

Existing applications and business systems of a Fortune 500 Insurance Carrier were inadequate to meet customer expectations. Iris business systems transformation solution enabled the client to deliver a consistent customer experience, improving acquisition and retention significantly.

Client

A leading American Fortune 500 Insurance Services Provider, offering insurance, investment management and other financial products and services across the Americas and 40 other countries

Business Drivers

To advance business agility and customer experience through modernized business systems

Technologies and Frameworks

C#/.NET, JAVA, DevOps, Python, NodeJS, App Services, Managed Application Support

BUSINESS CHALLENGE

The client’s existing business applications, systems, and support services were in stasis and not delivering the much-needed value to the insurer and end customers. Due to the lack of enterprise application portfolio strategy, business functions were onboarding applications in a silo. The net impact was that the insurer’s revenue and market share decreased. Longer turnaround times and outdated UI were discouraging customers. On the other hand, prospective customers were also opting for modernized options available in the market.

SOLUTION

Iris delivered app development and managed services across Annuities, Life Insurance, Group Insurance, Retirements and the Global Enterprise Service groups that decide the platform for all business units. Our services spanned around Enterprise Collaboration portal, Financial Wellness platform, Mutual Fund platform modernization, Oracle EBS development and support, and Retirement Annuities platform management. We also executed a scaled Agile program and ran multiple Scrums within the enterprise development and support landscape. Iris tech experts established DevOps and scaled Agile Framework within the client organization and enabled a team of over 150 professionals globally to support business operations 24X7.

OUTCOMES

Iris has been working around the application portfolio for over three years. We have helped the client deliver an exceptional experience to employees and end customers through active service support. Key outcomes of the delivered solution included:
  • Infrastructure availability increased to 99%
  • Optimized maintainability reduced the KYC process time by 75% 
  • Customer response time cut down by around 40% 
  • Promoter score incremented from 5 to 9 out of 10 
  • Customer retention improved by nearly 80% 
  • Customer acquisition increased by 65%

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SFTR solution strengthened market leadership

SFTR solution strengthened market leadership

Risk & Compliance

Securities Financing Transactions Regulation (SFTR) compliance made easy

A global trading company solidifies its EU market leadership with regulatory solution and supporting to a throughput of 6 million transactions per hour

Client

A leading provider of market data and trading services

Goal

Support complex regulatory reporting with automated solution

Tools and technologies

Java, Spring Boot, Apache Camel, CXF, Drools BRE, Oracle, JBoss Fuse, Elasticsearch, Git, Bitbucket, Sonar, Maven

BUSINESS CHALLENGE

The client offers an automated, integrated solution to its clients in the European Union (EU) for complying with the Securities Financing Transactions Regulation (SFTR). Effective in recent years, SFTR requires timely and detailed reporting based on multitudes of data, systems, collateral, and lifecycle events. The voluminous data is captured from hundreds of millions of daily transactions made to multiple trade repositories registered by the European Securities and Markets Authorities (ESMA). Non-compliance at any stage is risky, potentially very costly, for all trade counterparties, i.e., broker-dealers, banks, asset managers, institutional investors.

SOLUTION

Experienced in diverse technologies, big data, and capital markets, team Iris developed a streamlined, end-to-end data reporting platform with complex trade matching and monitoring systems. Improving speed, accuracy, and flexibility, the new architecture supports high trade concurrency and acceptance rates with parallel processing of millions of transactions. The delivered solution also enabled optimal load balancing and matched the reconciliation at the trade repository. Built with microservices to accommodate future scalability, standardization, data quality, and security requirements, the system implemented functional enhancements. A Unique Transaction Identifier (UTI) subsystem was also developed for sharing and matching counterparty transactions, enabling plug-and-play setup for new repositories, and supporting any changes in outbound or inbound data report formats required by ESMA or clients. Improved dashboards and search pages helped the end-users in better configuration and tracking of their transactions.

OUTCOMES

The nimble delivery and successful roll-out of the new SFTR platform delivered the desired strategic competitive advantage to the client for maintaining its EU market leader position. The consolidated solution also helped in:
  • Generating additional revenue from extending the new reporting services to 17 firms.
  • Beating the industry benchmark (~91%), achieving a higher transaction acceptance rate (~97%), and match reconciliation at the trade repository.
  • Supporting a high throughput of 6 million transactions per hour which is scalable up to 10 million.

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Cloud transformation increases business agility

Cloud transformation increases business agility

Standards & Membership

Global Standards organization increases business agility

Existing applications supporting the business were built on monolith architecture with high technical debt. Iris transformed over 15 years old monolith applications into microservices with automated integration and cloud deployment to deliver faster MVPs.

Client

A non-profit global organization responsible for developing and maintaining standards, including barcodes with over 115 local member organizations and over 2 million user companies

Business Drivers

To deliver MVPs in shorter cycles, reduce Mean Time for Ticket Resolution (MTTR), and lower the total cost of ownership

Tools and technologies

C#/.NET Core, Python/DJango, NodeJS/Express, Azure WAF, Azure APIM, App Services, Azure Kubernetes Service, Azure Monitor, Application Insights

Global Standards Business Challenge

BUSINESS CHALLENGE

The client had a suite of legacy applications to generate barcodes that are scanned globally over 6 million times a day. These applications were built on monolithic architectures using heavy-weight application servers and outdated technologies. This architecture was causing long development cycles, making the organization less competitive. Developers’ productivity was also dropping due to high technical debt.
Global Standards Cloud Solution

SOLUTION

Azure cloud offered some of the foundational features like container orchestration, app engine, integration, API gateway, monitoring and others, making cloud-specific modernization a natural choice.

Modernization strategy involved reverse engineering of on-premise applications, domain-specific grouping the product backlogs by, adopting domain-driven design, and using open source cloud-friendly software with CI/CD pipeline. We transformed the applications to a .NET core framework using cloud-native design principles on Azure cloud. The solution was developed using Azure App Services, front door and service bus following the agile development approach with two-week sprints.

Global Standards Cloud Outcomes

OUTCOMES

Iris helped the client realize multiple business benefits, including higher agility, resiliency and cost-efficient IT operations. Key outcomes of this cloud modernization engagement are:

  • Reduction in Mean Time for Ticket Resolution (MTTR) by 30%
  • Increase in application and infrastructure uptime to 99.9%
  • Real-time visibility of application and infra metrics
  • Enabled bi-weekly MVP delivery

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Anti-money laundering software saves $1M

Anti-money laundering software saves $1M

Banking

Unified AML proves to be a game changer

Global bank overcomes Anti-Money Laundering monitoring challenges and saves $1M in infrastructure costs with a unified front end.

Client

A top 5 global bank

Goal

Create a unified platform for anti-money laundering functions, analytics, and compliance implementations

Tools and technologies

Angular 5, Java, Open Shift, and DevOps

BUSINESS CHALLENGE

The client expanded its fraud and anti-money laundering (AML) monitoring functions, involving multiple lines of business and 15,000 employees. The scaled system led to the lack of standardization of frameworks and resultant adoption of disjointed, manual-intensive, and high-cost AML technology. The ongoing disconnect hindered the efforts of automating, consolidating; and implementing AML functions, enterprise analytics, and regulatory compliance efficiently throughout the organization.

SOLUTION

Iris optimized existing operations and technology investments by developing and implementing a unified point of access for the discrete AML functions, featuring micro-front-end architecture. Engineered to be horizontally scalable through containerization with common authentication and authorization gateways, the single user interface (UI) allows onboarding and control of multiple extended AML functions, including visualization of metrics.

OUTCOMES

The solution amplified efficiencies and reduced costs through the automated system and seamless exchanges of information. Significant outcomes included:
  • Hassle-free transition from multiple to a single UI
  • Unified, streamlined user experiences with more effective sessions
  • Creation of standardized deployment procedures for AML rules and applications
  • Saving of nearly $1M on infrastructure costs
  • Reduced infrastructure maintenance time
  • Frictionless migration of applications to the cloud

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Reporting transformation with data science and AI

Reporting transformation with data science and AI

Banking

Data science and AI transform disclosure and reporting

A multinational bank leveraged data automation to achieve major gains in reporting efficiency, with 99% accuracy in processing variable inputs, for its global investment fund.

Client

One of the world's leading bank

Goal

Improve efficiency in disclosure and reporting

Tools and technologies

Python – SciPy, Pytesseract, NumPy, Statistics

BUSINESS CHALLENGE

The client relies upon a centralized operations team to produce monthly NAV (Net Asset Value) and other financial reports for its international hedge funds— from data contained in 2,300 separate monthly investment fund performance reports. With batch receipts of rarely consistent file formats – PDF, Excel, emails, and images— the process to read each report, capture key info, and, create and distribute new metrics using the bank’s traditional tools and systems was highly manual, time-consuming, error-prone, and costly.

SOLUTION

Iris developed a Data Science solution that rapidly and accurately extracts tabular data from thousands of variable file documents. Using a statistical, AI-based algorithm featuring unsupervised learning, it auto-detects, construes, and resolves issues for every data point, configuration, and value. Complex inputs are calculated, consolidated, and mapped as per predefined templates and downstream business needs, efficiently generating numerous, distinct, and required period-end financial disclosures.

OUTCOMES

The high solution accuracy helped the client’s global NAV reporting team significantly improve precision, efficiency, quality, turnaround time, and flexibility. The delivered solution contributed to:
  • 90 - 95% reduction in operational efforts
  • 99% accuracy in processing variable inputs
  • Zero rework effort and cost
Our highly customizable and scalable solution can be seamlessly integrated with existing reporting applications and MS Outlook while accommodating additional volumes, report types, and business units.

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Powering shop floor efficiency with data analytics

Powering shop floor efficiency with data analytics

Manufacturing

Powering efficiency on the shop floor

An Iris innovation helped a diesel engine manufacturer eliminate production bottlenecks.

Client

A leading diesel engine manufacturer

Goal

Reduce bottlenecks on the production line that arise from last-minute changes to orders and ensure compliance with build instructions

Tools and technologies

Windows, SQL Server, C#, .NET, ESB, HTML5, Angular, GitHub, JIRA, Visual Studio, and WebStrom

BUSINESS CHALLENGE

A diesel engine manufacturer based in Detroit faced frequent production delays. The cause of the inefficiency was its build book system. The manufacturer used a printed build book to communicate the specifications of the engine being built to the production floor. But, often after the book was sent to the shop floor, the manufacturer had to make changes to specifications. In such cases, those working on the production line would not be able to use the printed build book. Waiting for a reprinted book would halt production. As a result, the changes were usually communicated outside the manual and assumed to be followed. If the new specifications weren’t followed, they would be discovered only in quality assurance, leading to a loss of time and dollars.

SOLUTION

The client wanted a solution to resolve bottlenecks created by the printed build book and ensure compliance with build instructions. Ideally, the build book is dynamically pushed onto a handheld device assigned to the shop floor. The system would allow managers to update the specifications in the build book on the fly and alert the production team to the changes.

The device would also communicate the status of production to managers. For example, they would know which work center is working on an engine so that relevant pages of the build book could be updated and displayed to those work centers. 

Iris custom-built an application that allowed real-time updates of the build book. It was designed to push the build book to work center operators on V10 devices (RFID transponders) with screen sizes ranging from 3 inches to 10 inches. The solution included a consolidated dashboard that provided the management near real-time visibility of work centers and the status of the engine production.

OUTCOMES

During Phase 1 of the project, we deployed 250 V10 devices. After a pilot run of four weeks, the client stopped printing build books; the handheld devices with our application were a superior alternative. The solution helped eliminate printing costs and allowed the manufacturer to accommodate last-minute changes in specifications without disrupting production.

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Pandemic pivot from physical to online tests

Pandemic pivot from physical to online tests

Education

Pandemic pivot from physical to online tests

System modernization helped a multinational educational testing and assessment organization overcome COVID-19 disruptions to deliver seamless and accurate digital testing.

Client

A leading U.S.-based educational testing and assessment services company

Goal

Switch from in-person to online testing

Tools and technologies

AWS Serverless, Dynamo DB, Node.js, Typescript, Java, Jenkins, and Angular

BUSINESS CHALLENGE

Our client, which provides educational testing and assessment services, faced an existential threat with the pandemic-era lockdowns and social distancing
requirements. The testing centers it operated at physical locations were unable to open, leaving thousands of students worldwide in a state of uncertainty. 
Our client had to switch from in-person testing centers to a digital-first or online
testing solution almost overnight. To achieve that, it had to migrate rapidly from legacy systems to the cloud. It also needed to ensure the sanctity and accuracy of its tests while delivering a seamless digital experience to its customers. Other challenges included the ability to dynamically scale up or scale down capacity in response to demand, maintain acceptable service levels, and enable thousands of
expert test raters’ to access and evaluate tests.

SOLUTION

Iris Software stepped in to facilitate a strategic digital pivot in the business model to secure the company’s future. Modernization efforts that were underway at the company even before the pandemic were accelerated as a digital upgrade became imperative. We shifted the data stored on legacy infrastructure was to the cloud. Our team developed a new testing interface that would work overnight across devices, geographies, and different internet connections. Switching the testing operations to the cloud with scalable capacity could help manage the surge in the number of users for the tests Iris also deployed automation and AI tools to deliver superior experiences for test raters. Those who faced challenges while attempting to grade tests were provided with an always-on AI-based solution to automate the troubleshooting and ticketing process.

OUTCOMES

The client now has scalable, digital-first testing capabilities to meet all its testing requirements.

  • Cloud-based testing ensures that students, evaluators, and employees have access on-demand.
  • The remote testing options are accurate, secure and safe from external threats.
  • A strong focus on automation and user experience has allowed for optimized online offerings.
  • Surges in demand for tests can be met rapidly and at scale with minimal intervention.
  • Thanks to the always-on cloud offerings, service levels are easily maintained.
  • The successful digital pivot has led to strong interest in a hybrid operating model to safeguard the business from threats in the future.

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How to transform your risk reporting mechanisms

How to transform your risk reporting mechanisms

Capital Markets

How to transform your risk reporting

A leading brokerage firm improved its UI and lowered costs with a future-ready risk reporting platform.

Client

The client was a brokerage firm with a strong presence in the capital markets.

Goal

Improve risk reporting and calculations.

Tools and technologies

Dot Net, C#, Greenplum, JUX Proprietary Framework and HTML5.

BUSINESS CHALLENGE

The client's market risk reporting and limit monitoring platform was based on products that were reaching the end of their service lines in the foreseeable future — Microsoft's Silverlight for viewing rich content and IBM's Netezza for data warehousing. They wanted to move to a new-technology platform. Among the big challenges was a lack of user-friendliness, a high cost of ownership because of the maintenance needed, and a lack of scalability because the data could not be clustered. The existing systems did not enable efficient audit trails and tracking of users. Iris had to identify alternatives that would sit well with 55 other applications in the system.

SOLUTION

We considered building a visualization platform using the latest JavaScript frameworks such as Angular or React but settled on making a fresh user interface and UI framework on HTML5. We developed new UI widgets to provide better user experience, making it possible for users to customize their workspace. We integrated the module to manage a user’s role and access level. In all, we provided a modern, flexible interface for application deployment that was developed in-house.

OUTCOMES

We successfully moved all the 55 applications to the new platform. As a result, the total cost of ownership was expected to be 15% lower after the migration. It was also built for the future — a distributed, scalable, mobile-ready platform. It had an integrated module for managing user roles and access levels and could be customized with various themes to provide better user experience. User tracking and audit trails were enabled. 15% Lower total cost of ownership 55 Apps moved to new platform

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