Real-Time Customer Insight Platform for Subscription Services

Medium Priority
Data Engineering
Subscription Economy
👁️12511 views
💬767 quotes
$50k - $150k
Timeline: 16-24 weeks

Our enterprise seeks a comprehensive data engineering solution to enhance real-time analytics for our subscription services. We aim to deploy a cutting-edge platform capable of processing and analyzing customer data in real-time, leveraging technology trends such as data mesh and event streaming, to provide actionable insights and improve customer retention.

📋Project Details

As a leading enterprise in the subscription economy, we face the ongoing challenge of translating vast amounts of customer data into actionable insights. Our goal is to develop a Real-Time Customer Insight Platform that enables us to understand customer behaviors, preferences, and pain points with immediacy. This platform will utilize a combination of advanced technologies including Apache Kafka for event streaming, Spark for data processing, and Snowflake for secure data storage and retrieval. By integrating a data mesh architecture, we aim to decentralize our data operations, promoting data ownership and fostering innovation across teams. Additionally, implementing MLOps will ensure robust machine learning operations, allowing predictive analytics to enhance customer retention strategies. Through this project, we aspire to significantly improve customer engagement, reduce churn rates, and optimize our service offerings. The project will be executed over 16-24 weeks with a budget allocation of $50,000 to $150,000.

Requirements

  • Experience with real-time data streaming using Apache Kafka
  • Proficiency in data processing frameworks such as Spark
  • Familiarity with cloud-based data warehousing solutions like Snowflake
  • Understanding of data mesh principles and implementation
  • Experience with MLOps for machine learning lifecycle management

🛠️Skills Required

Apache Kafka
Spark
Snowflake
MLOps
Data mesh

📊Business Analysis

🎯Target Audience

Our target users are internal stakeholders such as marketing, product development, and customer service teams who require real-time data insights to enhance customer experience and retention strategies.

⚠️Problem Statement

Currently, we lack the capability to process and analyze customer data in real-time, resulting in delayed insights and reduced ability to respond promptly to customer needs, leading to increased churn rates.

💰Payment Readiness

The subscription economy is highly competitive, and companies are investing in advanced data solutions to gain a competitive edge. Our stakeholders are ready to pay for solutions that drive customer engagement and retention, providing a significant return on investment.

🚨Consequences

Failing to address this issue will result in continued customer attrition, lost revenue opportunities, and diminished market position as competitors leverage real-time insights for better customer service.

🔍Market Alternatives

Current alternatives involve traditional batch processing and static reporting, which do not offer the agility needed for real-time customer engagement and are increasingly being outpaced by competitors' more advanced solutions.

Unique Selling Proposition

Our platform will uniquely combine real-time data processing, a decentralized data mesh structure, and MLOps to provide insights that are timely, scalable, and directly actionable by various teams.

📈Customer Acquisition Strategy

Our strategy involves demonstrating tangible improvements in customer retention through a pilot project with key user groups, leveraging internal marketing and workshops to showcase the platform's capabilities and drive adoption across the organization.

Project Stats

Posted:July 21, 2025
Budget:$50,000 - $150,000
Timeline:16-24 weeks
Priority:Medium Priority
👁️Views:12511
💬Quotes:767

Interested in this project?