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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Digital ledger secures trading integrity
Automated, expandable distributed ledger system resolves trade reconciliation and compliance issues and lowers costs for global bank.
Client
Global bank's trading operations
Goal
Resolve trading transaction breaks and related regulatory issues through expandable intra-company digital ledger system
Tools and Technologies
Hyperledger Fabric 1.4/2.2, Java 8, Go Language 1.8, Kafka, Node JS, Microservices, OpenShift, Dockers, Kubernetes
Business Challenge
A highly-manual, paper-dependent, trading and reconciliation process was causing the accumulation of a large number of daily transaction liquidity breaks, which had been cited by federal regulators and risked a billion dollar cost impact.
The lack of a robust trade audit and reconciliation process to reduce liquidity breaks and operating costs led the bank to seek an immutable system that could record and unify financial practices and be expanded to other transaction areas.
Solution
Iris solution comprised a production-ready, configurable platform using microservices and blockchain-based digital ledger architecture. It employed Smart Contracts coded with requisite business rules to facilitate front office trade booking and trade reconciliation processes.
RPA was utilized to automate data mapping and testing of transactions. Preventive controls were enabled by recording intra-company transactions at their initiation using uniform booking practices, and consequently guaranteeing the term of the trade. A multi-layered infrastructure was created to support real-time, batch streaming of differing file formats. The UX was enriched through Interactive UI and automated workflows.
Outcomes
Iris successfully introduced a global intra-company distributed ledger and trade reconciliation system that did not exist before. With self-executing contracts matching both sides of transactions prior to feeding downstream systems, the platform ensures complete integrity at the source and reduces time and cost for all transactions. The solution also achieved:
- 30% fewer liquidity breaks
- 70% improvement in operational efficiency due to the use of RPA
- 60% reduction in business-rules configuration time, due to the smart contracts
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Software transformation gets compliance for bank
Risk & Compliance
Software transformation gets FDIC compliance for bank
World’s renowned investment bank gets timely compliant with new QFC (Qualified Financial Contracts) and FDIC (Federal Deposit Insurance Corp.) regulations through holistic system transformation and extensive QA & testing.
Client
A global investment bank
Goal
To have a unified functional validation system for FDIC compliance
Tools and Technologies
SQL Server, Sybase, Data Lake, UTM, .NET, DTA, Control-M, ALM, JIRA, Git, RLM, Nexus, Unix, WinSCP, Putty, Python, PyCharm, Confluence, Rabacus, SNS, and Datawatch
Business Challenge
The client mandated to comply with new QFC (Qualified Financial Contracts) regulations. The client also needed to perform in-depth functional validation across a revamped data platform to ensure it could timely process, review and submit to the FDIC (Federal Deposit Insurance Corp.) required daily reports on the open QFC positions of all its counterparties.
The project entailed immediate availability and processing of accurate QFC information at the close of each business day to swiftly assess data and note exceptions and exclusions for early corrective action. It also aimed to help the client meet stringent deadlines with varied report formats. Any breach or delay in compliance could attach hefty fines and reputational damage to the bank.
Solution
Iris revamped the entire system and performed end-to-end quality assurance and testing across the new regulatory reporting platform. This meant validating the transformed multi-layer database, user interface (UI), business process rules, and downstream applications.
We identified and solved workflow design gaps affecting data reporting on all open positions, agreements, margins, collaterals, and corporate entities, thus enhancing the capability for addressing irregularities. Our experts established an integrated and collaborative system, commanding transaction and reference data within a single platform by incorporating 166 distinct controls pertaining to data completeness, accuracy, consistency, and timeliness within a strategic framework.
Outcomes
Our quality assurance and testing solution delivered the following impacts:
- Faster and more efficient internal analysis with highly accurate QFC open positions
- 100% compliance with timing and format of required daily QFC report submissions to the FDIC
- Significant decrease in exceptions before the platform went go-live and critical defect delivery drastically reduced post-implementation
- An intuitive UI dashboard reflecting the real-time status of critical underlying data volumes, leakages, job run, and other stats
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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 financial products & services across the Americas and 40 other countries
Goal
To advance business agility and customer experience through modernized business systems
Tools and Technologies
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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Accelerate your agile software development
Businesses are increasingly using cloud technologies and service-oriented architectures to deliver their products and services on digital channels. They also want those IT solutions delivered increasingly faster. In order to meet those demands, IT has adopted Agile methodology to reduce time to develop new capabilities, apply fixes and deploy them to production.
The nature of software development is transforming with more frequent releases and monolithic architecture giving way to services. Consequently, there is a greater need to ensure that overall quality does not degrade in terms of usability, reliability, scalability and performance. Clearly, as application architecture is being modernized and software is being deployed expeditiously, this method of testing will not empower IT to deliver effectively. Practical experience has given us some actionable insights to shift approaches to quality in an Agile development environment.
Challenges
We find organizations frequently face the following key challenges in transforming their approach to Quality Engineering in an increasingly Agile enterprise:
Iris Solution
Iris solution combines using Acceptance Test Driven Development (ATDD) methodology to bring in the culture of early acceptance with continuous testing from development to production. This approach leverages DevOps and incorporates In-sprint Test Automation to accelerate between transition from a QA to a QE mindset. Our solution has a framework that enables these features:- Integration with tools that allow for developing a common understanding of requirements and specifications within the team
- Configuring a customer’s Agile development process (e.g., “Done” criteria) by integration with industry-standard tools that support code development, test scripts development and auto triggering of test execution, deployment and continuous monitoring
- Libraries with templates for gathering requirements and pre-built code for test execution, deployment and reporting
- A storehouse of reusable libraries that allow for quick access and updates of test scripts and easy integration of new components, thus reducing the maintenance burden
- A cross-referenced checklist to mark completion of all user stories, which is one of the most critical checkpoints in an Agile project
- A machine learning layer with baseline objects to support features such as self-healing and test analytics reporting. Using this facility, an Agile project can support automatic fixing of test scripts and test execution predictability, thus reducing the time and cost of custom development
Iris Automation Practice: Focus Areas and Competencies
Iris Automation Practice offers comprehensive services and solutions across competencies such as Intelligent Automation, Test Automation and DevOps Automation. Our approach introduces automation within the context of a function or industry to create seamless end-to-end processes and experiences. Our services, strengthened with machine learning and cognitive technologies, have stepped up productivity, resulting in immense benefits for our clients.Business Outcomes
- Our ATDD framework reduces the effort of building test automation suites by 30% and cuts maintenance costs by up to 60%
- Faster delivery cycles improve collaboration, thereby reducing total cycle time by 25%
- Reusability and modularity reduce efforts by up to 25%
- Increased coverage in regression test suite by 30-40%
Contact
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Get in touchCloud transformation increases business agility
Existing applications supporting the business were built on monolith architecture with high technical debt. Iris transformed monolith applications that were more than 15 years old 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
Goals
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, and Application Insights
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.
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.
Outcomes
- 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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The power of in-sprint automation
A large securities firm sped up time-to-market with end-to-end test automation on the cloud.
Client
A leading securities trading firm
Goal
Build a cloud-based automation framework to test client’s trading platform
Tools and Technologies
C#, Ranorex, TestRail, Simulators and Selenium
Business Challenge
The client had a legacy trading platform that had grown and evolved over time. The platform consisted of a stack of 33 applications, built on a variety of technologies and architectures.
Testing new features and additions was proving to be a big challenge. A simple change in one feature would warrant a verification of the complete application. To ensure that any change does not affect other functionality, the client needed to do extensive regression testing and verification.
This was a cumbersome process with over 20,000 or 30,000 test cases being checked and executed manually. The trading firm had to deploy over 20 people to carry out this exercise. The client had tried to automate the testing process with a variety of tools but was not able to get the efficiencies it wanted.
In addition, the client had multiple squads working on different apps, functionality and features. Each squad used its own automation suite. It was becoming a challenge to co-ordinate the work of the different squads and ensure that changes made by a squad did not impact the overall functionality of the platform. Iris’s brief was to design and deploy a common cloud-based test automation framework for the client’s trading platform to ensure that it could launch new features faster.
Solution
Using its cloud-based ready-to-deploy test automation framework, Iris sped up the deployment of new features for the client’s trading platform. The cloud solution, based on Amazon Web Services (AWS), featured continuous testing of multiple products on a common framework layer. It allowed for complete capacity planning of spinned cloud instances and need-based shutdowns.
Iris executed the project using acceptance test driven development (ATDD), a methodology that involves collaboration between customers, business teams and development teams. The teams jointly created the user stories and put down the acceptance criteria for any feature or functionality. Then tests were designed within the common framework to check if the feature met the acceptance criteria.
What was unique about the approach? Typically, automation is introduced towards the end of a development cycle. You would find that, in most projects, developers bring in automation in Sprint 4 for features developed in Sprint 1, 2 and 3. As a result, return on investment isn’t maximized. Our team introduced ‘in-sprint’ automation, enabling 90% test automation with every sprint. This resulted in more efficient and faster testing, and cost savings for the client.
Outcomes
The client’s deployment speed improved significantly with 90% faster execution in each sprint cycle and 80% faster script development.
The cloud-based solution is 100% configurable for on-demand execution on AWS, which reduced the client’s cloud infrastructure costs by 70%.
The new ability for complete capacity planning through the use of infrastructure-as-code (IaC) for spinning up cloud instances helped the client achieve end-to-end (E2E) automation of regression/ functional test cases.
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Cloud-native app opens new markets for trading services
A prominent bonds trading network expands its market reach with new products and geographies.
Client
The world’s leading provider of trading services for fixed income products
Goal
Create an IT architecture to support growth across markets and products
Tools and Technologies
AWS Cloud, Java, Springboot, React JS, React, Redis, Kafka, C#, Ranorex and Test Rails
Business Challenge
The client, a market leader in bonds trading, was expanding to new markets, acquiring new businesses, introducing new products and adding features to existing offerings. To support its growth plans, it needed an agile, modern, cloud-based platform.
Some of the business needs the client wanted to address with the new solution were:
- How do we achieve scale with minimal latency in operations and service?
- How do we integrate new businesses seamlessly and without disruption?
- How do we roll out new features faster to improve customer experience and get a competitive edge?
- How can we use data to help customers make better trading decisions?
- How can we monetize the data?
As a solution partner, we had to not only create a new IT architecture for the client’s trading platform but also constantly re-engineer and improve the architecture to quickly meet emerging business needs.
Solution
We deployed a scalable, highly available auctions solution on the AWS cloud using Java, Springboot, React JS, React, Redis, and Kafka.
Optimized algorithms now achieve best matching with minimal latency while offering full price transparency. Artificial intelligence (AI) and machine learning (ML) provide greater insight and real-time price discovery for specific asset classes.
The new cloud-based architecture enabled the client to create products and monetize market data. Those products helped customers get accurate data in real-time to take better and faster trading decisions.
Test automation across the trade lifecycle using a combination of C#, Ranorex, Test Rails helped the client update user interfaces (UI) without reducing performance. It also eased integration linkages between the acquired solution’s frontend and the client’s existing backend.
Outcomes
The introduction of Agile methodology and the cloud-native application has helped the client significantly speed up time-to-market for new releases. It is now able to make releases several times a year.
The new IT architecture now allows the client to offer trading in Muni bonds (an acquired product) and U.S. treasuries (a new service). The solution also enables the client to support Chinese markets.
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An agile sprint for financial data
How Iris helped a mega sportswear brand’s global operations and financial reports go flexible, agile, and analytical.
Client
Among the world’s largest manufacturers of sportswear, the client sells its products in 120+ countries and employs more than 13,000 people
Goal
To significantly reduce turnaround time and ease associated with report creation
Tools and Technologies
Microsoft SQL Server’s Analysis Services (SSAS), Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services (SSRS), Boomi AtomSphere, and Power BI
Business Challenge
The client’s finance department was using standard SAP reports which limited the flexibility to slice and dice data or add fields to reports. Modifying or creating new reports was either difficult or expensive. Top management, including the CFO and financial controllers, were finding it difficult to create a high-level, integrated view of the company’s finances. The existing process required data transposition between various systems, including the SAP and Oracle systems. Much of this data was extracted and consolidated manually, which was time-consuming, and took around a week.
Solution
Iris executed a distributed Agile framework for the client’s global delivery model. Our solution pulled data out of the client’s SAP ERP system using Dell Boomi adapters, and leveraged SSIS (SQL server integration services) to transform it into enriched data. This data was mapped and made actionable through interactive PowerBI Tableau dashboards. With the help of a custom-made finance data model, a data warehouse was created. The easily shareable data cubes not only replaced all legacy reports, but also reduced the number of SAP user licenses.
Outcomes
With the availability of Power BI dashboards and the capability to slice and dice financial data, client managers now have a better view of operations and accounting flows. The data consolidation allows users to create need-based reports without additional licenses. The automation of the entire process from data extraction and transformation to publishing of analytical cubes has enabled the client teams to significantly reduce time required to produce reports – from days to a few minutes. They have been able to achieve a 95% reduction in time and effort.
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Deliver personalization via report automation
A leading asset management firm personalized offerings by automating processes to glean customer insights.
Client
A leading asset management firm based in the U.S.
Goal
Help asset managers deliver personalized solutions to establish differentiation
Tools and Technologies
AquaData Studio, Java, Perl, Python, Spring, Hibernate, VRS, PostgreSQL, Composite and MS SQL
Business Challenge
- Its front, mid and back office functions needed a lot of manual effort.
- Business rules were inconsistent and data duplication was rampant.
- User experience on the platform needed significant improvement.
- Clients were unable to get a holistic view of their accounts.
- Data validation was consuming a lot of manhours.
Solution
We partnered with the asset manager to deliver better digital experiences to all its stakeholders. We created a robust data ecosystem and used advanced technologies such as artificial intelligence/machine learning or AI/ML, intelligent automation, cloud computing and test automation.
- Our team streamlined and integrated the client’s front, middle and back office functions. We helped the client integrate their back-office solutions with their custodians, reducing complexity in information exchange, eliminating reconciliation and increasing operational efficiency by more than 75%.
- We automated the creation of more than 7,000 reports.
- Improved experience for retail and institutional clients by automating the generation of complex compliance and strategic reports.
- Developed a strategic reporting module that gave customers a holistic view of their accounts and holdings.
- Set up a business data validation team offshore.
- Enabled self-service option for bespoke reports.
Outcomes
- Automated the exhibits process with 75% increase in throughput
- Our report automation solution reduced manual effort by 70% and improved monthly artefact generation throughput by 40%
- Reduced manual effort for customization in client profile management by 60%
- Achieved $50,000 savings monthly in data validation for client profile management
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