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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Cloud-native app opens new markets

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, 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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Deliver personalization via report automation

Deliver personalization via report automation

Asset Management

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

Asset management firms face challenges such as a generational shift in the demographic and new patterns of investment behavior. They also face changing regulations, and aggregators with low-cost products who are thinning the pool of investible funds. Our client wanted to differentiate itself by offering customer-centric solutions that are flexible and adaptable. But its existing systems presented several challenges:
  • 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

Our solution helped the client significantly improve front-end experience for customers; reduce manual effort and costs in the back office; and improve overall operations efficiency. Highlights of the 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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A robust platform for investment advisors

A robust platform for investment advisors

Brokerage & Wealth

A robust platform for investment advisors

A prominent U.S. brokerage firm transformed its monolithic legacy apps for registered investment advisors (RIAs) into a microservices-based open platform and significantly improved user experience.

Client

A leading brokerage and wealth management firm based in the U.S.

Goal

Create a best-in-class platform for registered investment advisors (RIAs).

Tools and technologies

Pivotal Cloud Foundry, Spring Boot, Spring Cloud Gateway, Angular 6, TIBCO AMX BW, SQL Server, Hybrid Automation Framework (Selenium, Appium, Perfecto) and AppDynamics

BUSINESS CHALLENGE

With growing competition from nimble fintechs, custodians are under pressure to provide RIAs a differentiated experience. Many of them are looking to use advanced technology solutions such as machine learning, artificial intelligence and data and analytics to help RIAs improve the end consumer experience.

Our client had multiple legacy platforms built over the years that was preventing it from providing their RIAs with a secure, integrated and cost-effective solution.

SOLUTION

Iris has been played an integral role in transforming the client’s technology landscape from a legacy system to a modern, open, API-based architecture. The solutions we have implemented include:

  • An open access platform with API architecture as part of the client’s go-to-market strategy. We continue to work on integrating third party vendor applications and RIA back-office applications onto this platform.
  • The platform is highly reliable and secure with protection of data at rest and in motion using encryption. We have enabled encryption of data in transit to protect over 100+ integrations outside the client environment. We have used SAML and OAuth for user authentication.
  • An SSO solution provides multi-factor authentication (MFA) and a framework for privileged access management to secure customer information. The Iris team has also ensured mobile security for iOS & Android devices and helped the client plug platform vulnerabilities.
  • Developed responsive design as part of the UI transformation initiatives for core trading, advisory and educational solutions.
  • Transformed monolithic application into micro services-based architecture.
  • Provided flexible development capabilities with distributed Agile teams and extensive test automation reducing time to market and achieving significant cost savings.
  • Digitized end-to-end client onboarding with features for bulk onboarding, advisor authorization and ability to submit statutory documentation online and offline.
  • Created back-office solutions for money movement and cash and asset management that allowed RIAs to get a holistic view of clients and serve them on the go.
  • Customizable workflow to serve needs of individual advisor firms.

OUTCOMES

We enabled the client to securely integrate over hundreds of third-party apps and RIA back-office applications. Our test automation and Agile solutions helped the client reduce time to market for new features by 40%. Reduced the regression cycle duration by 60% with automated tests over six months. Increased test automation coverage to 70%. Reduced defect leakage to less than 1%. Improved performance of business transactions by 30% to 40% on the web platform. Addressed > 70% of security and vulnerability issues, leading to a better customer experience.

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