Cannot keep up with Acumatica Customizations Updates?

Search
Close this search box.
Search
Close this search box.
Search
Close this search box.

Data Governance and Compliance: Improving Regulatory Data Privacy Compliance Services Maturity for a Regional Bank

Overview

A regional bank in the US faced challenges in managing a vast array of sensitive data, encountering regulatory scrutiny and client dissatisfaction. Initially, bank executives were hesitant but recognized the need for automated data management to meet compliance audits.

Challenge

The bank’s IT department and business analysts struggled with effective data access and sharing, complicating data analysis and reporting. Sprinterra was tasked with automating data analysis and reporting, enhancing data quality, securing sensitive information, and providing seamless data access across various departments, in line with the latest regulatory demands.

Solution

Sprinterra initiated a comprehensive discovery phase to define a strategic data management plan, including organizational structures and roles. This phase involved an in-depth assessment of the bank’s data infrastructure across finance, business, and IT. To tackle data discovery and literacy issues, Sprinterra implemented a user-friendly data management tool that simplified data governance through data cataloging, metadata management, and collaborative data handling. We integrated leading data platforms like Snowflake and Salesforce to create a unified data source that automated and streamlined data processes across the bank, enhancing regulatory compliance and operational efficiency. In addition, Sprinterra focused on improving data reporting and dashboard capabilities, providing real-time insights, and facilitating data-driven decision-making.

Benefits

Enhanced Data Governance: Implemented stringent pre-extraction rules that reduced processing times and standardized data use across the bank.

Increased Transparency: Established comprehensive documentation practices, enhancing workflow accountability and consistency.

Operational Efficiency: Enabled users to independently access and manipulate data, significantly reducing the analytics team’s workload.

Improved Data Privacy: Ensured compliance with multi-platform regulations, effectively safeguarding sensitive information.

SUMMARY

This case study illustrates how strategic data governance and advanced technological integration can ensure compliance with regulatory requirements, boost the bank’s operational efficiency and data reliability, resolve compliance challenges, and improve operational efficiencies in the financial sector.

Data Privacy Compliance Services

Ensuring data privacy rights compliance is crucial in today’s digital landscape. Our data privacy compliance services help businesses navigate complex regulations, implement robust data protection strategies, and maintain compliance with laws such as GDPR, CCPA, and HIPAA. With advanced privacy management tools and tailored compliance solutions, we help organizations safeguard sensitive information, enhance operational efficiency, and build trust with customers. Stay ahead of regulatory changes and minimize risks with our expert-driven approach to robust data privacy compliance.

Data Compliance

Ensure regulatory compliance with our data compliance solutions. Protect sensitive data, meet GDPR, CCPA, and HIPAA standards, and enhance security with expert-driven policies and automation tools.

Client:

A regional bank

Country:

USA

Project’s Timeline:

6+ months

Would you like a free ball-park estimate for your project?

We can start working on it right now!

You can also contact us directly

To discover how our solutions can help you get to the finish line faster

email: [email protected]

Set-up a meeting at your convenience

Use our Proposal Generator to create your custom Proposal for Healthcare or FinTech

1

Legacy Systems & Tech Debt

Identify outdated systems and technologies that hinder agility and innovation.

Identify IT governance strategy. Evaluate IT architecture.

2

Process Inefficiencies

Build Business model diagram, process flows &  organization map. Discover areas to streamline and automate  processes.

3

Data Quality & Integration

Evaluate data quality and integration across systems and processes. Establish data principles and data modeling.

Identify Data Flows.

4

Data Architecture

Maturity assessment. Build new Data Governance Framework, Organize Data Flows and target Data Architecture.

5

Application Architecture

Application Communication diagrams; Application components diagram; Security and Data Privacy implementation