Hybrid Cloud on AWS Unblocks Analytics for Financial Services

Overview

How a leading financial services organization replaced on-premise constraints with a secure hybrid environment integrating on-premise systems and AWS, delivering near-unlimited scalability, a pay-for-use cost model, and stronger analytical readiness for its One Digital strategy.

Near-unlimited scalability on demand, with cloud costs aligned to actual use through a pay-for-use model.

This was a shift to a hybrid operating model built for data-driven decision-making at scale, not a lift-and-shift migration.

A leading financial services organization needed faster access to analytical data to support its One Digital strategy, but its on-premise environment limited agility and scalability. Analytical data could not move as quickly as the business needed, and infrastructure investment was decoupled from actual usage. Myridius designed and operationalized a hybrid environment integrating on-premise systems with AWS, using Databricks as the data platform, Amazon SageMaker for analytics, Delta Lake for data integrity, and StreamSets for integration.

Key Outcomes

• Near-unlimited scalability through on-demand cloud resources aligned to changing business needs, removing the capacity constraints of the on-premise status quo.
• Improved cost effectiveness through a pay-for-use consumption model, so infrastructure spend tracks actual usage rather than fixed capacity.
• Strengthened analytical capabilities through streamlined data workflows, real-time integration, and greater readiness for timely, data-driven decision-making.

The Challenge

To support its One Digital strategy, the organization needed faster access to analytical data within a seamless and cost-effective cloud environment. The existing on-premise setup did its job, but it limited agility and scalability, and analytical data could not move as quickly as the business needed it to. This was not a failing system. It was an infrastructure model that could not keep pace with the demands of data-driven decision-making. What the strategy called for was a hybrid model that could integrate on-premise systems with cloud services and support efficient, timely decisions.

Status Quo and Desired State

Transformation Goals

The engagement was guided by three north stars: remove the scalability ceiling of on-premise infrastructure, align cloud spend to actual use, and strengthen the analytical foundation the digital strategy depends on, all without weakening the controls a financial services environment requires.

Scale: Enable near-unlimited, on-demand scalability so capacity aligns to changing business needs rather than fixed infrastructure.

Cost reduction: Move to a pay-for-use consumption model so infrastructure spend tracks actual usage.

Analytics readiness: Streamline data workflows and real-time integration to strengthen readiness for timely, data-driven decisions.

Myridius Solution Approach

Myridius approached the engagement as an infrastructure and analytics transformation rather than a lift-and-shift migration. The work began with evaluating AWS components against the organization's data and analytics needs, and understanding where the on-premise model was costing agility. From that operating picture, Myridius designed and operationalized a hybrid environment integrating on-premise infrastructure with AWS to strengthen scalability, streamline data access, and improve analytical readiness.

Orchestrated the foundation: Architected a hybrid environment enabling seamless data flow and operational efficiency across on-premise and AWS environments, with Databricks as the data platform and Delta Lake providing data integrity.

Embedded intelligence into the workflow: Evaluated AWS components and piloted a cloud data lake to centralize storage and support advanced analytics, with Amazon SageMaker as the analytical platform and StreamSets handling data integration for streamlined, real-time data workflows.

Reimagined the operating model: Operationalized AWS for data workloads on a pay-for-use consumption model, building a production-ready foundation aligned to evolving business demand rather than fixed capacity.

Governance and Trust Layer

In a financial services environment, scalability and cost efficiency cannot come at the expense of control. Myridius built the cloud foundation to be secure and production-ready from the start, so the move to on-demand, pay-for-use infrastructure preserved the security and governance the sector requires. Delta Lake provided data integrity across the hybrid environment, ensuring that the analytical data teams relied on stayed trustworthy as it moved between on-premise systems and AWS.

Measurable Impact

The transformation moved the organization from an infrastructure model that limited agility to a hybrid environment that scales with demand. Outcomes show up across scalability, cost effectiveness, and analytical readiness, each reinforcing the others.

The result:

• Near-unlimited scalability enabled through on-demand cloud resources aligned to changing business needs, removing the capacity constraints of the on-premise status quo.
• Improved cost effectiveness through a pay-for-use consumption model for cloud services, so infrastructure spend tracks actual usage.
• Strengthened analytical capabilities through streamlined data workflows, real-time integration, and greater readiness for timely, data-driven decision-making.

Operational Transformation

Technology Stack

Frequently Asked Questions

What did the hybrid cloud model change for scalability and cost?

The organization moved from on-premise infrastructure that capped capacity to near-unlimited scalability through on-demand cloud resources. Cloud spend now follows a pay-for-use consumption model, so infrastructure cost tracks actual usage rather than fixed capacity. Together this aligns both capacity and cost to how the business actually runs.

Why hybrid rather than a full cloud migration?

The One Digital strategy called for faster analytical data access within a seamless, cost-effective environment, not the wholesale replacement of working on-premise systems. Myridius designed a hybrid environment that integrates on-premise infrastructure with AWS, so the organization gained cloud scalability and analytics while preserving its existing systems. Databricks and Delta Lake enable seamless, trustworthy data flow across both sides.

How does the solution improve analytics readiness?

Myridius piloted a cloud data lake to centralize storage and support advanced analytics, with Amazon SageMaker as the analytical platform and StreamSets handling real-time data integration. This streamlines the data workflows that feed decision-making, so analytical data reaches the business faster. The result is greater readiness for timely, data-driven decisions.

Was security maintained given the financial services context?

Yes. The cloud foundation was built to be secure and production-ready from the start, so scalability and cost efficiency did not come at the expense of control. Delta Lake maintained data integrity across the hybrid environment, keeping analytical data trustworthy as it moved between on-premise systems and AWS.

Hybrid Cloud as an Analytics Advantage

For a financial services organization, the speed at which analytical data reaches decision-makers is the speed at which the business can act, and infrastructure that cannot scale on demand quietly sets that limit. This case shows how a hybrid model integrating on-premise systems with AWS can remove that constraint, pairing near-unlimited scalability with a cost model that tracks actual use, while building the analytical foundation a digital strategy depends on.

This was not a lift-and-shift migration. It was a shift to a hybrid operating model built for data-driven decision-making at scale.

What's Next

If your organization's strategy depends on faster access to analytical data and your infrastructure limits how quickly you can scale, Myridius can help you design and operationalize the secure hybrid foundation that aligns capacity and cost to the way your business actually runs.

Talk to a Myridius expert and send us a message at Contact Myridius.