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Development of a Unified Customer Engagement Platform with Real-Time Data Collection and Processing
  1. case
  2. Development of a Unified Customer Engagement Platform with Real-Time Data Collection and Processing

Development of a Unified Customer Engagement Platform with Real-Time Data Collection and Processing

innowise.com
Business services

Identifying Challenges in Customer Data Management and Engagement

The client faces fragmented data sources and lacks a unified system for managing customer interactions, leading to difficulties in personalizing marketing efforts, optimizing user experience, and tracking engagement metrics accurately across multiple channels.

About the Client

A mid-sized professional services firm specializing in digital marketing solutions seeking to enhance customer engagement and operational efficiency through a centralized platform.

Goals for Enhancing Customer Interaction and Data Analytics

  • Develop a centralized platform to gather, process, and analyze customer data from various sources in real-time.
  • Improve customer segmentation and personalization capabilities to increase marketing effectiveness.
  • Enhance user interface to facilitate easy interaction management and reporting.
  • Achieve scalable architecture to support future growth and integration needs.
  • Reduce data processing latency to ensure timely insights and responses.

Core Functionalities for the Customer Engagement System

  • Real-time data ingestion module supporting multiple data channels and sources.
  • An internal analytics engine for processing, segmenting, and visualizing customer data.
  • An internal analytics dashboard providing interactive reporting and insights.
  • A personalized content delivery subsystem tailored to customer segments.
  • A flexible user management interface for interaction policies and access controls.
  • Robust data security measures ensuring patient, customer, or user confidentiality.
  • Integration capabilities with third-party marketing tools and CRM systems.

Technology Stack and Architectural Preferences

Cloud-based infrastructure with scalable microservices architecture
Real-time data processing frameworks (e.g., Kafka, Spark Streaming)
Modern web development frameworks for UI (e.g., React, Angular)
APIs for seamless external system integration

External Systems and Data Sources Integration Needs

  • CRM systems for customer profile management
  • Marketing automation platforms for campaign coordination
  • Data warehouses or lakes for historical data analytics
  • Third-party analytics tools for enriched data insights

Performance, Security, and Scalability Standards

  • System must support at least 10,000 concurrent users with minimal latency
  • Data encryption in transit and at rest to ensure compliance with security standards
  • System should be scalable to handle 50% growth annually
  • High availability with 99.9% uptime and disaster recovery capabilities

Expected Business Benefits and Performance Impact

The implementation of the unified customer engagement platform is projected to increase marketing campaign effectiveness by 30%, reduce data processing latency by 50%, and enable more accurate customer segmentation, thereby boosting overall client revenue and customer satisfaction.

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