The power of in-sprint automation

Automation

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

Client’s deployment speed improved significantly with 90% faster execution to 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

Cloud

Cloud-native app opens new markets

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, is expanding to new markets, acquiring new businesses, introducing 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. The 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 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’s 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 US treasuries (a new service). The solution also enables the client to support Chinese markets.

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A legacy portfolio gets a makeover

Advisory & Consulting

A legacy portfolio gets a makeover

How one of the Big Four advisory firms turned around an under-performing, high-cost application portfolio to meet growing business needs.

Client

The client is one of the Big Four advisory firms

Goal

Modernize the legacy application to meet growing business needs

Tools and technologies

MS SharePoint, MS .Net and MS SQL Server

BUSINESS CHALLENGE

The client had multiple legacy applications, deployed over the years. Its business needs had grown with time and the applications were falling short of required service levels. The client faced the following challenges:

  • Lack of integration: Most of the integration with upstream and downstream systems was manual, resulting in common data getting obsolete quickly
  • The client was finding it difficult and expensive to hire and retain resources to maintain the legacy apps
  • The legacy system was prone to security breaches and couldn’t be deployed on the enterprise-level stack
  • The existing system supported only single-user application, and it wasn’t possible to roll them out to multiple users

SOLUTION

After a comprehensive analysis by Iris, the client’s applications portfolio was rationalized, classified, and distributed across four areas: 1) upgrade and continue to maintain; 2) rewrite to modernize; 3) consolidate overlapping applications using a framework approach; 4) retire.
The idea was to deliver maximum value at the lowest cost possible and ensure the system complied with security standards.
Here’s what we did for the client:

  • Upgraded the technology stack for the application(s) to lower maintenance costs, improve efficiency and meet growing business needs
  • Used an in-house technology modernization framework to reduce development and maintenance costs
  • Consolidated applications that were doing similar tasks and had similar features and modernized them
  • Retired applications, whose features were available through other applications

The success of our solution was based on our ability to quickly gather complete information about the existing applications. To do that, we used a questionnaire that we have developed and refined over the years that helps us gather information in a structured and comprehensive manner about the architecture, user base, maintenance methodology etc.

OUTCOMES

  • With the legacy modernization and application consolidation process, the client’s application portfolio was reduced from 45 applications to less than 10
  • Reduced the resources required for maintenance from six to two
  • The framework-based approach of Iris accelerated time-to-market, a critical market differentiator for the client

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Setting a high standard for member experience

Standards & Membership

Setting a standard for member experience

We helped a global standards organization build a cloud-native micro services-based platform to store and share data on billions of products with members.

Client

One of the world’s leading retail standards organizations.

Goal

Build a 24x7 cloud-based platform capable of storing and sharing data on billions of products.

Tools and technologies

Java, Python, NodeJS, .NET, Azure PostgreSQL, Azure SQL, MongoDB, Redis, Azure DevOps, Pipelines, Git, Docker, Kubernetes, Azure App Service.

BUSINESS CHALLENGE

Our client is a global standards organization. Its products and codes are used by millions of brand owners, retailers and supply chain partners around the world.

The organization needed an always on, scalable cloud-based platform capable of storing and sharing data on billions of products and related information with members and partners across the world.

The client also wanted the ability to onboard member organizations quickly and seamlessly.

They wanted the business capabilities developed on platform to be available as modern and secure enterprise-level APIs.

SOLUTION

Iris chose a microservices architecture for high agility, loose coupling, independent deployability and maintainability.

We followed an API design-first approach and designed according to the standards-based API specification (OpenAPI Specification).

In line with best practices for securely publishing and maintaining APIs, our team deployed the Azure API management solution. We used Azure APIM developer portal to deliver a superior developer onboarding experience. The solution had other features as well:

  • Design and implementation of the Azure Virtual network for securely hosting the platform
  • A cloud-native architecture using the Azure AppService and an Azure-managed Kubernetes platform.
  • Comprehensive performance testing and optimization at all levels to meet strict SLAs
  • Security testing and vulnerability assessment to ensure secure APIs

OUTCOMES

  • A robust and secure API platform that handles 200,000 API requests per day
  • 50 million codes uploaded in 40 product categories across more than 130 countries
  • Delivered a developer portal for quick on-boarding of MOs and application developers
  • New 7-step verification mechanism led to creation of new revenue streams

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Keeping pace with digital megatrends

Cloud, Automation, Data & Analytics

How to keep pace with digital megatrends

Cost pressures are driving firms to invest in automation, cloud migration and advanced data analytics.

Acceleration in digital transformation is occurring across the board. Most of it was underway earlier pre-COVID, but now it has accelerated, driven by the necessity of the new normal. Defining this megatrend are three chief sub-trends: Migrating to the cloud, Advancing adoption of automation, and Scaling operations with advanced analytics.

Cloud Migration: We see a surge in businesses adopting cloud infrastructure for flexibility and scalability, and to meet the surge in demands from remote users. This includes building cloud-native applications, placing data on the cloud, and harnessing compute competencies.

Hybrid cloud and multi-cloud environments are clearly winning over in-house data centers. According to a recent IDC report, the worldwide market for cloud systems and service management software will total $21.9 billion in 2024. That represents a five-year compounded annual growth rate of more than 24%.

Many businesses are also finding in cloud applications more effective ways to engage with their customers. For instance, at a leading global business services company, we at Iris are helping building cloud-native applications to support faster onboarding and service customers  in more than 180 countries.

That theme is playing out also at a leading company that provides employee well-being solutions, serving more than a 100 million end-consumers. Here, we are working on modernizing and launching customer engagement omni-channel solutions across desktop, mobile and tablets using cloud-native technology solutions.

Cognitive and intelligent automation: Businesses are accelerating their adoption of AI-based intelligent automation tools such as chatbots, advanced RPA, virtual assistants and cognitive bots. Gartner predicts that 90% of large organizations globally will have adopted RPA in some form by 2022, as they look to digitally empower critical business processes through resilience and scalability, while recalibrating human labor and manual effort.

Chatbots are increasingly popular in the suite of automation solutions. For example, at a leading Fortune 500 audit and advisory firm, we have implemented a multi-lingual chatbot-driven service desk automation solution, integrated with enterprise collaboration platforms for employees distributed globally.

Similarly, at a Fortune 100 global transportation and logistics company, we are implementing a consumer-focused chatbot to address the most frequent queries related to aspects like tracking shipment status and container location. This helps improve productivity of customer help desks and improve customer experience.

 

Advanced data analytics at scale: With enterprise data already on the cloud or moving rapidly towards it, data integration and crunching is now possible at scale and  AI is playing a big role in next wave of advanced data analytics.

AI-based insights, advanced reporting and dynamic visualization are among the chief benefits to be had with real-time analytics. For example, at a leading medical devices company, we have used our proprietary AI-based report rationalization solution to analyze thousands of enterprise reports and recommend an optimized reporting solution on the cloud. This has reduced the volume of redundant reports and maintenance costs for the company. Most importantly, our solution helped develop a reporting stack with which our client gets far better insights into their business.

Triggers for the shifts

Why are those shifts described above occurring? The pandemic has brought on new “cost pressures,” and the implications of work-from-home for automating processes, as companies grow anxious to retain their market shares.

 

With the sudden shift to work-from-home for employees and customers, businesses face the need to connect and collaborate on a real-time basis and in a virtual mode. 

 

One of our clients in the education services industry has for decades conducted standardized testing for K-12 and college-level courses in ‘in-person’ environments at its test centers, schools and accredited third party locations. With the COVID-19 situation, in-person testing is not feasible or is severely restricted. The company now has to provide the same tests in an online environment and make sure the that its test results have the same trust and integrity. This has forced it to rapidly accelerate its digital transformation efforts and roll out virtual tests at scale for millions of students.

Another big driver for the shifts underway is the commoditization and availability of at-scale technologies. That includes high internet speed, cloud infrastructure at scale and on demand, billions of connected devices, low-cost compute power and cheap data storage, to name a few.

Key takeaways

  • Digital transformation is now more urgent than ever before. Organizations now don’t have a choice of either/or.
  • Technology is driving differentiation in marketplace across industries. Organizations that are far ahead in digital transformation are winning. Technology is now a center-stage agenda item in board rooms.

Customers are increasingly doing transactions in an ultra-connected world. Rolling out connected solutions for them is the only way for businesses to survive and grow.

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An API ecosystem expedites customer onboarding

Transportation & Logistics

How APIs help in rapid customer onboarding

A global leader in logistics created an API ecosystem that significantly transformed its customer experience.

Client

The client is a leading logistics and transportation services provider, ranked among the top 10 in the world.

Goal

Rapid onboarding of partners and customers; improve customer experience.

Tools and technologies

Azure, Dell Boomi APIM and oAuth 2.

BUSINESS CHALLENGE

The growing volume of business required the client to respond faster to market demands. On their current systems, it was a challenge for the support staff to onboard new clients and service their requests.

The client needed a solution that would help it respond quickly to diverse business needs, including:

  • Last mile shipment tracking and alerts across carrier networks
  • Quotes for multiple shipment options
  • Special fulfilment orders
  • Order personalization for seasonal surges

SOLUTION

Iris proposed and developed a comprehensive API layer that allowed customers and partners to access client systems using APIs.

Customers and partners could easily track shipments and get quotes on their own. This reduced the need for support personnel to service routine requests. The team configured these APIs on Boomi’s API Management to enable seamless real-time integration.

OUTCOMES

  • Improved onboarding speed: 20+ partners per month
  • Enabled client to handle large volumes of requests, with a service capacity of 35,000 API requests a day
  • Improved customer experience through real-time rates and quotes

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Striking the right balance of care

Interactive

Striking the right balance of care

A work-life services provider transformed the care experience for its customers with a user-friendly, intuitive and responsive web platform.

Client

A leading provider of work-life services to caregivers.

Goal

Enable caregivers to easily set up and manage care schedules.

Tools and technologies

HTML, CSS, JavaScript, Bootstrap, JQuery, Atlassian User Interface (AUI), AngularJS and Liferay DXP7.2

BUSINESS CHALLENGE

Many young and middle-aged workers combine both work and caregiving responsibilities that cover not only children but also extend to parents and pets. Research shows that employees who achieve greater work-family balance are more satisfied in their jobs and happier with their families.

For our client, a leading provider of work-life services, the key to enabling that balance is the setting up of care schedules for dependent or vulnerable family members. The client’s existing solution for managing such schedules, however, was not user-friendly, flexible, or mobile-responsive.

The sites offered no provision to schedule premium services for care.
The client’s multiple websites were served by a Liferay V6.2 content management system (CMS) as the common backend for which support ended in December 2020.

SOLUTION

We designed and developed a web platform for scheduling care for family members including parents, children, self and pets, with e-mail notifications and quick access to customer care. We migrated the websites to Liferay DXP7.2 CMS backend. In order to improve the performance of the web application, we developed the website forms as AngularJS-based single-page applications. We developed a responsive web site that worked flawlessly across different-sized screens on desktops, tablets and mobile phones.

We used Agile methodologies right from the requirements-gathering phase until the final deployment of the web platform to shorten development time.

In order to save cost and time, we used an almost identical codebase for both iOS and Android platforms (except for a few configuration settings and device specific features).

Furthermore, our team performed continuous integration using automated build tools, and script and code repositories, to save time during the development, testing and deployment phases.

We ensured that the sites we built followed the WCAG 2.0 and OWASP accessibility and security standards.

OUTCOMES

  • The Iris-developed web platform ensured the client’s care scheduling interface was user-friendly, flexible and mobile-responsive.
  • Customers could easily create, change and cancel schedules. They also had easy access to records and historical data.
  • The common codebase across iOS and Android ensured significant cost savings in the development and maintenance of the application.
  • Agile methodologies and a high degree of automation reduced costs and shortened the development time.

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Gain speed to market with DevOps solutions

Wealth Management

Gain speed to market with DevOps solutions

A wealth management firm moved from a legacy application environment to a microservices ecosystem. The switch cut production time and expedited the roll-out of releases.

Client

The client is a leading wealth management firm in the U.S.

Goal

DevOps strategy to shorten production timelines and speed time-to-market.

Tools and technologies

JIRA, Jenkins, GitHub, AWS, ECR, Docker, EKS and Helm.

BUSINESS CHALLENGE

The client used multiple legacy applications with a highly complex codebase to run its operations. As a result, it had long production lifecycles and spent several person-hours in integration and deployment.

On the technology front, the client faced challenges in the way server-side applications were defined, stored and managed. Its IT team also had to manage the deployment of multiple Kubernetes manifest files.

SOLUTION

Iris recommended that the client move to a microservices ecosystem. Here’s how we deployed the solution:

  • We defined an enterprise-level DevOps strategy using Helm
  • Identified the scope of apps that needed to be on-boarded across the enterprise
  • Implemented a DevOps pipeline for microservices on the Kubernetes cluster
  • Deployed the infrastructure, dependencies and applications with Kubernetes using Helm
  • Delivered continuous improvement through Helm release updates and rollbacks

OUTCOMES

The DevOps pipeline significantly improved time-to-market new releases.

  • 20x faster release cycle
  • 40% improvement in quality with end-to-end traceability
  • 15x improvement in the mean time to deployment (MTTD)

The Iris team also put in place robust security control and validation processes; and provided for auditable release requests.

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Anti-money laundering: managing regulatory risks

Data & Analytics, Risk & Compliance

Anti-money laundering programs: managing data, regulatory risks

A global multinational bank successfully managed large data volumes in its anti-money laundering program and protected clients and franchisees from regulatory risks.

Client

A leading multinational bank

Goal

Identify and mitigate risks related to anti-money laundering (AML) regulations

Tools and technologies

Cloudera, Hadoop, Talend, Spark MLlib, MicroStrategy, Datameer, Sqoop

BUSINESS CHALLENGE

Our client, a multinational bank, had a comprehensive global program for anti-money laundering (AML) to protect its clients and franchisees from the risks of money laundering, terrorist financing and other financial crimes.

To be able to do so effectively, they needed to deal with mounting volumes of data, which their existing applications could not handle. Their systems also generated a high number of false positives that increased the need for manual intervention.

SOLUTION

We worked with the client’s global anti-money laundering program to develop a solution that provided them with consistent controls to identify AML risks and comply with relevant laws.

We incorporated a modern data lake architecture, a centralized data hub that allowed the processing of the increasing volumes of data from around the world. The solution we built was capable of handling data in petabytes.

OUTCOMES

We helped the multinational bank build a data lake that could hold 8 petabytes of data, much more than its existing data applications allowed. Next, Iris cross-trained the client’s global anti-money laundering team to ensure efficient use of the data lake in line with its global anti-money laundering program.

8 petabytes
Data capacity

14
Global regions covered

5,000
End users

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India’s No 2 HR Influencer, Sharad Verma, reflects upon technology, behavior and the Future of Work

17-Jun-2019

India’s No.2 HR Influencer, reflects upon technology, behavior & the Future of Work

Interesting perspectives from the CHRO at Iris

Recently named India’s no. 2 HR Influencer by SHRM (Society for Human Resource Management), Sharad Verma is Iris India’s VP and CHRO, leading Human Resources for the company. A graduate of XLRI Jamshedpur, Sharad spent his entire career in HR. He joins Iris after being the HR Head at Polaris Consulting and Sears Holding.

Even though he has 30,000 followers on LinkedIn and close to 15,000 followers on Twitter, Sharad does not see himself as an ‘influencer.' “I started a blog to share my thoughts on HR but I also wrote pieces around mindfulness and special interviews such as the Facebook workplace. Another piece called ‘talent hacker’ also got a lot of traction. The blog morphed and now reflects a cross section between technology and behavior.”

HR is getting complicated with many specializations such as recruitment, rewards, training, etc. What do they mean and how do they fit together?

There is a lot that HR has to achieve between leadership, capabilities, strategy, retaining, competencies, rewards and culture. Some of it is quantifiable and measurable but much of it is not. Some, like culture, is palatable and you can see it. As I have had opportunities to do many ‘hands-on’ HR tasks either individually or as part of the whole, it gave me a wholesome ‘HR function’ perspective for an organization. My approach, which has been deliberate, has helped me understand the complete picture by working alongside business leaders to achieve both, people and business goals.

You were acknowledged as India’s 2nd biggest influencer by the recent SHRM report. That is a pretty big deal, considering India has close to 1 million HR professionals. What does the acknowledgement mean?

I have always been passionate about Twitter, seeing it less as a social media platform and more as a medium of expression. Traditional HR is more about process and policy. Influence, on the other hand is about how to influence another’s opinion, discovering your key message, what you stand for and building an audience around it to create a brand for yourself and for your company. I write about data, analytics and HR, with a focus on how technology is affecting HR today. The confluence of both is a really interesting space. A recent study by Stanford Labs, for example, talked about how to change behavior in small bites; I now apply it at Iris as well as share it in my writings.

Tell us more about this intersection of data, analytics and HR. How does HR interact with data today and why is it important?

My starting point has always been the insights that come from the intersection of capabilities, technology and data. When I joined, I conducted values workshops to discover what values were important to Iris. What is strong in our DNA? What do we live on, on a daily basis? What would we like to change? The results? Client delight came out as a consistent factor with a natural desire amongst team members to understand and be curious about clients to see them happy. Empathy and people-touch were also strong. The empathy part being intentional and upfront was a pleasant surprise, as many companies hope that it comes up but is usually difficult to preserve as a value. As the future of work continues to morph, empathy will continue to be key.

Iris is a good company; it takes care of clients and employees. The challenge is to continue growing while preserving our strong culture. We are, therefore, focusing on the three pillars of process, technology and policy. We will be investing in an HR management system because without the proper tools one cannot achieve what we have set out to do, no matter how good the intention.

At the end of the day, business is about people, especially at Iris. It is therefore important to understand how to unleash the creative function of the employees, so that they, in turn, can expand the client portfolios that they manage. It is important for HR to understand the whole picture along with the business value; otherwise it only adds value from a functional perspective. My belief has always been business value first and function next.

The Future of Work is changing. In that context, where is HR heading?

HR as a function has become more agile. The data from simple metrics such as ‘Where are we hiring from?’ ‘What is our success rate?’ ‘Did they join or not join?’ ‘What are the drivers to stay?’ and so forth, can help us do some predictive analytics. For example, data showed us that engaged teams + collaborative colleagues + exciting work = higher retention. We found out that we need to do some more work around coaching and mentoring and that a 3-month feedback cycle may be more effective than a 1-year feedback cycle. We also found out that appreciation may mean different things to different people. In this and many other ways, data generated from HR can be used to drive strategy.

Do you have any advice for young HR professionals graduating now?

Human Resources, at the end of the day, should be about people. Ask yourself if you are genuinely interested in people and be naturally curious in them, rather than in excel sheets. As AI takes over several functions in an organization, the ‘human’ side of business will become even more important. Secondly, HR is more interesting when you are interested in more than its traditional boundaries. I urge students to see it as the key to understanding companies and businesses by not constraining yourself to the traditional HR boundaries.

Any advice for Iris team members?

The great thing about Iris is the close partnership between the 3 founders. I have had in-depth individual interactions with all 3 and each meeting has been really inspiring. Business is about people, especially at Iris, which, as I mentioned earlier, is very customer and people focused. It is therefore important to keep that Iris DNA of small teams and committed team members while we continue to grow at the exponential rate that we have for the past few years. I am excited to be part of that journey and taking it to the next level.

“As AI takes over several functions in an organization, the ‘human’ side of business will become even more important” – Sharad Verma, VP and CHRO, Iris

What gets Sharad out of bed every day?

The prospect of being a life-long student with the advantage of indulging my creative side is an exciting proposition. “I see myself as a little bit of an artist and a writer, with an effort to bring that side into the corporate world. It is important to keep that side of me alive in what would normally have been a rather straight jacketed job.”

Follow Sharad Verma on Twitter @isharad

SMHR’s recent Influencer report for 2019 can be accessed at: https://www.shrm.org/shrm-india/Documents/HR%20Report2019.pdf

About Iris

Iris Software is a professional software services organization serving customers in the USA, Canada and India for over 25 years. Iris focusses on developing ready-to-deploy Custom-Off-The-Shelf solutions, Application Software development services, as well as services towards the maintenance, testing, integration and support of software.

Iris services the information technology requirements of companies ranging from the Fortune 100 to medium-sized firms by utilizing specialized domain knowledge, best-of-breed technologies, rapidly deployable proprietary frameworks/solutions and flexible engagement models. Iris provides thought leadership to solve business problems creatively by conceptualizing and delivering uncommon solutions, leveraging existing technologies and new computing paradigms such as Digital Transformation, ML, Analytics and Insights, Cloud Computing and Process Automation. Iris continually innovates to accelerate outcomes such as time-to-market, lower costs, ease of maintenance and reduced Total Cost of Ownership (TCO). Iris’s core strengths of software engineering best practices enables it to deliver high-quality solutions consistently.

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