Client Overview

Render Networks, a global telecommunications company, sought to enhance its data management and customer engagement processes. The goal was to streamline operations, improve customer onboarding and retention, and foster innovation.

Objective

To develop a central event stream to streamline data collection and auditing, reducing reliance on traditional database systems.

Client Mandate

  • Streamlining Customer Onboarding

Reducing onboarding time from 8+ weeks to quickly unlock platform value for customers.

  • Integrating Advanced Data Analysis

Eliminating the need for external data analysis tools by enhancing in-platform analytics.

  • Automating Custom Reporting

Enabling self-service for custom reports to reduce dependency on development teams.

  • Expanding Reporting Dashboards

Broadening the scope of out-of-the-box dashboards for immediate business insights.

  • Optimizing Operational Efficiency

Automating processes to cut manual steps and reduce operational costs.

  • Protecting Revenue

Upgrading analytical features to retain customers and prevent them from turning to third-party solutions.

  • Speeding Up Pre-Sales

Making pre-sales demos and POCs faster and more efficient to improve customer acquisition.

  • Encouraging Product Innovation

Utilizing analytics to drive innovation and enhance product offerings for market competitiveness.

Proposed Solutions

  • Debezium for Change Data Capture

Utilized to monitor and capture data changes in the PostgreSQL database, ensuring no event is missed.

  • Confluent Kafka

Deployed to provide a scalable, fault-tolerant system for event streaming.

  • Kafka Connect

Bridged Debezium and Kafka, facilitating seamless data movement.

  • Event Stream Integration

Unified real-time event ingestion from various data sources.

  • Temporary Storage in Kafka Topics

Ensured reliable event processing and storage.

  • Event Consumers Development

Created microservices for specific event-processing tasks.

  • Real-Time Event Processing

Enabled immediate actions and workflows based on event analysis.

  • Auditing Capabilities

Allowed for retrospective analysis and fulfilled compliance requirements.

Technical Outcome

  • Render Networks achieved streamlined data collection and auditing, significantly reducing the complexity of their data infrastructure.

  • The implementation of Debezium, Confluent Kafka and Databricks provided a robust, scalable solution for real-time data management.

Business Outcome

  • The new system design facilitated responsive and automated decision-making processes, enhancing overall operational efficiency.
  • Leveraging customer audit trails, the system ensured precise and accurate billing, eliminating discrepancies and enhancing trust.
  • Customers experienced immediate value with zero setup delays, thanks to streamlined access to the Data hub.
  • The integration of instant dashboard access, market-aligned products, and a robust foundation for AI-driven insights significantly accelerated the customer acquisition process.
  • Providing instant access to actionable insights served as a critical tool for retaining customers by continuously delivering value.

This partnership with Pixid has allowed Render Networks to overcome significant data management challenges, proving the effectiveness of a central event stream system. The project not only optimized data handling but also set a new standard for data infrastructure in rapidly growing companies.