Case Study: Scalable Enterprise Data Infrastructure
How InfoObjects Consulting team of experts implemented an Advanced Data Engine Pipeline enabling SCALABLE ENTERPRISE DATA INFRASTRUCTURE

Client : Banking Solutions
Industry: Banking and Financial
Location: San Francisco, CA, USA
A leading provider of innovative solutions across three primary segments: Merchant Solutions, Banking Solutions, and Capital Market Solutions.
"I am immensely grateful to InfoObjects Consulting for their exceptional implementation of a robust BFSI solution. Their expertise in the banking and financial services industry was evident as they seamlessly integrated complex systems, ensuring data accuracy and enhancing operational efficiency. Their professionalism, dedication, and deep domain knowledge have been instrumental in our successful digital transformation."

Senior Director of Engineering
Banking Solutions
Overview
This case study focuses on a financial company's goal of establishing a scalable data infrastructure with the help of InfoObjects Consulting. The objective was to streamline data ingestion, identification, and filtering processes, enabling the company to handle a wide range of data formats and frequencies efficiently. The collaboration aimed to enhance data management and analysis capabilities for improved operational efficiency and decision-making.
Reduced Development Effort
Increase in Valuable Insights
Increase in Data Availability
The Challenge
InfoObjects Solution
Technology Stack
The scalable enterprise data infrastructure leveraged a powerful technology stack, including DynamoDB, RedShift, Databricks, Kinesis, Apache Kafka, and AWS Lambda. This robust combination ensures efficient data storage, processing, streaming, and real-time analytics, enabling organizations to build scalable and high-performance data-driven solutions.
The Result
- Improved efficiency
- Reduced development efforts
- Enhanced analytics capabilities
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