Real-Time Data Infrastructure Upgrade for Enhanced Banking Analytics

Medium Priority
Data Engineering
Banking Financial
👁️13184 views
💬494 quotes
$25k - $75k
Timeline: 8-12 weeks

Our SME in the Banking & Financial Services industry seeks an upgrade to its current data infrastructure to enable real-time analytics. This project involves the integration of modern data engineering technologies to enhance data processing speed and accuracy, enabling the bank to provide faster and more reliable financial insights.

📋Project Details

As a growing SME in the Banking & Financial Services sector, we're facing challenges with our current batch-oriented data processing system. It hinders our ability to offer timely insights and analytics to our customers and internal stakeholders. With the growing demand for real-time financial data, we aim to revamp our data infrastructure using cutting-edge data engineering technologies like Apache Kafka and Spark. This project will focus on setting up a robust event streaming platform and implementing a data mesh architecture to decentralize data operations and reduce bottlenecks. Additionally, we plan to incorporate MLOps practices to streamline our machine learning operations and integrate data observability tools to ensure data reliability and transparency. The successful execution of this project will position us to deliver enhanced real-time analytics, helping clients make informed financial decisions swiftly and accurately. The project is estimated to last 8-12 weeks, with a budget allocation of $25,000 to $75,000.

Requirements

  • Experience with real-time data processing
  • Proficiency in Apache Kafka and Spark
  • Familiarity with data mesh architecture
  • Knowledge of MLOps practices
  • Ability to implement data observability tools

🛠️Skills Required

Apache Kafka
Apache Spark
Airflow
dbt
Snowflake

📊Business Analysis

🎯Target Audience

Bank's data analysts, financial advisors, risk management teams, and end customers seeking timely financial insights

⚠️Problem Statement

Our current batch processing system is unable to meet the real-time data analytics demand, limiting our ability to provide timely financial insights to clients and decision-makers.

💰Payment Readiness

The banking industry faces regulatory pressures to provide transparent and timely data insights, and enhancing real-time analytics offers a significant competitive advantage.

🚨Consequences

Failure to address this issue may result in lost revenue opportunities, regulatory compliance issues, and a competitive disadvantage in the market.

🔍Market Alternatives

Many competitors are still relying on batch processing or have outsourced real-time analytics, but these solutions often lack customization and can lead to higher operational costs.

Unique Selling Proposition

Our approach integrates cutting-edge data engineering technologies with a focus on real-time analytics and data reliability, offering a scalable and cost-effective solution.

📈Customer Acquisition Strategy

We will leverage our existing customer base and partnerships, while targeting new clients through strategic marketing campaigns focusing on our enhanced data capabilities.

Project Stats

Posted:July 21, 2025
Budget:$25,000 - $75,000
Timeline:8-12 weeks
Priority:Medium Priority
👁️Views:13184
💬Quotes:494

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