Custom analytics enable faster business decisions

ASSET MANAGEMENT

Custom analytics enable faster business decisions

Optimized data and on-demand analytics deliver faster business insights and better user experience for asset management firm

Client
U.S.-based asset management company
Goal
Streamline and improve data and analytics capabilities for enhanced user experiences
Technology Tools
Java, React JS, MS SQL Server, Spring Boot, GitHub, Jenkins
Business Challenge

The client captures voluminous data from multiple internal and external sources. The absence of quick, on-demand capabilities for business users was inefficient in generating customized portfolio analytics on attributes such as average quality, yield to maturity, average coupon, etc.

The client teams were spending enormous amounts of manual effort and elapsed time (approximately 12-15 hours) to respond to requests for proposals from their respective clients.

Solution

Iris implemented a data acquisition and analytics system with pre-processing capabilities for grouping, classifying, and handling historical data.

A data dictionary was established for key concepts, such as asset classes and industry classifications, enabling end users to access data for analytical computation. The analytics engine was refactored, optimized, and integrated into the streamlined investment performance data infrastructure.

The team developed an interactive self-service capability, allowing business users to track data availability, perform advanced searches, generate custom analytics, visualize information, and utilize the insights for decision-making.

Outcomes

The solution brought several benefits to the client, including:

  • Simplified data access to generate custom analytics for end users
  • Eliminated manual processing and the need for complex queries
  • Enhanced the stakeholder experience
  • Reduced response time to client RFPs by over 50%
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Data warehouse enhances client communications

Data warehouse enhances client communications

Asset Management

Investment data warehouse enhances client communications

Account management and marketing teams of an investment bank acquired improved multi-channel client communications and portfolio management capabilities with a data warehouse and a single source of truth.

Client

A U.S.-based investment bank

Goal

Improve data collation and information quality for enhanced marketing and client reporting functions

Tools and technologies

Composite C1, Oracle DB, PostgreSQL, Vermilion Reporting Suite, Python, MS SQL Server, React.js

BUSINESS CHALLENGE

The client’s existing investment data structure lacked a single source of truth for investment and performance data. The account management and marketing teams were making significant manual efforts to track portfolio performance, identify opportunities and ensure accurate client reporting. The time-consuming and manual processes of generating marketing exhibits and client reports were highly error-prone.

SOLUTION

Iris implemented a comprehensive investment data infrastructure for a single source of truth and improved reporting capabilities for marketing content and client report generation. An automated Quality Assurance process was instituted to validate the information in critical marketing materials, such as fact sheets, snapshots, sales kits, and flyers, against the respective data source systems. Retail and institutional portals were developed to provide a consolidated view of portfolios, with the ability to drill down to underlying assets, AUM (Assets Under Management) trends, incentives, commissions, and active opportunities.

OUTCOMES

The new data infrastructure delivered a holistic, on-demand view of investment details, including performance characteristics, breakdowns, attributions, and holdings, to the client's marketing team and account managers with: 

  • ~95% reduction in performance data and exhibit information discrepancies
  • ~60% improvement in operational efficiency in core marketing and client reporting functions

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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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Gain speed to market with DevOps solutions

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 for new releases.

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

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

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Custom analytics enable faster business decisions

Optimized data and on-demand analytics deliver faster business insights and better UX for asset management firm

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Contact

Our experts can help you find the right solutions to meet your needs.

Get in touch
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