Establishing Enterprise Data Trust at a Leading Financial Institution

How a Hawaiian financial services provider moved from a shared Amperity Snowflake platform to a dedicated, autonomous Snowflake environment with a Trusted Data Platform and engineered data lake, giving advisory teams a single source of truth for faster, more consistent analytics and reporting.

A dedicated, autonomous Snowflake environment, a Trusted Data Platform as single source of truth, and a model-ready data lake for advisory analytics.

This built an autonomous, trusted data foundation, not just a platform migration.

Overview

A mid-size Hawaiian financial services provider needed a more autonomous, customized data solution than its shared Amperity Snowflake platform could offer, along with a robust data foundation to support its advisory teams with accurate, timely insights and to eliminate data silos across the organization. Myridius executed a technical migration to the bank's own dedicated Snowflake environment and engineered a Trusted Data Platform as the single source of truth, backed by a model-ready, reporting-ready data lake. The result was a more autonomous and customized customer data platform, faster and more consistent reporting and analytics, and a strong data foundation for advanced analytics and regulatory needs.

Key Outcomes

• Enhanced data autonomy and customization.
• Faster, more consistent reporting and analytics.
• A strong foundation for analytics and regulatory needs.

Client Context

The client is a mid-size Hawaiian financial services provider whose business users depend on accurate, timely data to serve customers and meet regulatory expectations.

The organization operated on a shared Amperity Snowflake platform and contended with data silos across the business. It needed a robust, autonomous data foundation that could give business users a single source of truth, support advanced analytics and reporting, and reduce dependence on a shared environment.

The Challenge

A mid-size Hawaiian financial services provider needed to transition from a shared Amperity Snowflake platform to a dedicated Snowflake environment in order to gain a more autonomous, customized data solution with enhanced analytics capabilities.

At the same time, the organization needed a robust data foundation to support its advisory teams with accurate, timely insights and to eliminate data silos across the business, so that reporting and analytics could be faster, more consistent, and ready for regulatory needs.

Status Quo and Desired State

Transformation Goals

The engagement was anchored to data autonomy, a trusted single source of truth, and analytics enablement for advisory work.

• Data autonomy and customization: Move from a shared Amperity Snowflake platform to a dedicated Snowflake environment for a more autonomous, customized data solution with enhanced analytics capabilities.
• A trusted data foundation: Establish a Trusted Data Platform as the single source of truth and eliminate data silos so business users work from accurate, timely, consistent data.
• Analytics and regulatory readiness: Engineer a model-ready, reporting-ready data lake that supports advanced analytics, advisory workflows, and regulatory needs.

Myridius Solution Approach

Myridius partnered with the bank to execute a technical migration to its dedicated Snowflake environment and to engineer a trusted, model-ready data foundation for downstream analytics.

• Orchestrated the foundation: Executed a technical migration from the shared Amperity Snowflake platform to the bank's dedicated Snowflake environment, enabling a more autonomous and customized customer data platform.
• Embedded a trusted data layer into the workflow: Implemented a core Trusted Data Platform as the single source of truth and engineered a data lake solution that is model-ready and reporting-ready for downstream analytics.
• Reimagined the operating model: Enabled a robust data foundation supporting advanced analytics and downstream workflows, giving teams consistent, self-directed access to trusted data.

Governance and Trust Layer

Trust and consistency anchored the solution. A core Trusted Data Platform established a single source of truth, replacing fragmented, siloed data with a consistent, governed foundation that business users could rely on.

Moving to a dedicated Snowflake environment gave the bank greater control and autonomy over its customer data platform, and a model-ready, reporting-ready data lake provided the structured, dependable basis needed for advanced analytics and regulatory reporting. With a dedicated environment now in place, the bank is also positioned to adopt Snowflake's built-in AI features, such as Cortex, as a natural next step to speed up data work and analytics. This is a future opportunity the foundation enables, not part of the delivered scope.

Measurable Impact

As a data foundation engagement, the outcomes center on autonomy, consistency, and readiness, described qualitatively in line with the intake.

The result:

• Enhanced data autonomy and customization, with a dedicated Snowflake environment giving the bank a more autonomous, self-directed, and customized customer data platform.
• Faster, more consistent reporting and analytics, as a Trusted Data Platform single source of truth and a model-ready data lake improved the speed and consistency of insights.
• A strong foundation for analytics and regulatory needs, giving the organization a trusted, scalable data platform ready to support advanced analytics and downstream workflows.

Operational Transformation

Technology Stack

Frequently Asked Questions

What platform change did the engagement deliver?

Myridius executed a technical migration from a shared Amperity Snowflake platform to the bank's dedicated Snowflake environment, enabling a more autonomous and customized customer data platform.

How was a single source of truth established?

A core Trusted Data Platform was implemented as the single source of truth, backed by an engineered data lake that is model-ready and reporting-ready for downstream analytics.

How does the foundation support advisory teams?

It provides accurate, timely, consistent data through a trusted single source of truth, eliminating data silos so business users can produce faster, more consistent reporting and analytics.

Is the platform ready for regulatory needs?

Yes. The trusted, model-ready data foundation gives the organization a scalable basis for advanced analytics, downstream workflows, and regulatory reporting.

A Trusted Data Foundation as an Advisory Advantage

In financial advisory, a shared platform and siloed data quietly slow insights and erode consistency. A dedicated, trusted data foundation turns data into an advisory advantage.

This was not just a platform migration. It built an autonomous, trusted data foundation.

What's Next

If a shared platform and data silos are limiting your advisory teams, Myridius can help you build a dedicated Snowflake environment with a Trusted Data Platform and model-ready data lake.

Talk to a Myridius expert. Send us a message at Contact Myridius.