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Development of a Custom Internal Analytics and Engagement Platform for Enhanced Business Insights
  1. case
  2. Development of a Custom Internal Analytics and Engagement Platform for Enhanced Business Insights

Development of a Custom Internal Analytics and Engagement Platform for Enhanced Business Insights

amela.tech
Business services
eCommerce

Identified Challenges in Data Visibility and Client Engagement

The client faces difficulties in accessing comprehensive, real-time analytics and insights across multiple digital platforms, leading to suboptimal business decisions and limited client engagement capabilities. These challenges hinder their ability to deliver personalized services efficiently and scale operations effectively.

About the Client

A mid-sized technology consulting firm specializing in digital solutions seeks to streamline its analytics and client engagement tools to improve decision-making and service delivery.

Goals for Improving Analytics and Client Interaction Systems

  • Develop a centralized internal analytics dashboard to aggregate and visualize data from various sources, enabling faster and more informed decision-making.
  • Implement features to enable real-time data tracking, reporting, and alerting for key performance indicators.
  • Create a secure, scalable platform capable of supporting growing client data and usage demands.
  • Enhance client engagement through a self-service portal that offers insights, reports, and communication tools.

Core Functionalities for the Analytics and Engagement Platform

  • A centralized internal analytics dashboard aggregating data from multiple sources such as databases, CRM, and third-party APIs.
  • Real-time data processing and visualization modules for dynamic reporting and performance monitoring.
  • Role-based access controls for secure data handling and customized user experiences.
  • Automated report generation and scheduling for regular business reviews.
  • A client portal offering personalized dashboards, report downloads, and messaging functionalities.
  • Notification and alert system for key metric deviations or critical updates.
  • Data export capabilities in multiple formats for offline analysis.

Preferred Technologies and Architectural Approach

Cloud platform infrastructure for scalability and flexibility
Modern front-end frameworks for responsive dashboards (e.g., React, Angular)
Backend APIs built with Node.js or Python for data processing
Data visualization libraries (e.g., D3.js, Chart.js)
Secure authentication protocols (OAuth 2.0, SSO)

External Systems and Data Source Integrations

  • CRM systems to pull customer engagement data
  • Databases and data warehouses for internal data aggregation
  • Third-party analytics tools or APIs for additional data sources
  • Email and messaging platforms for notifications

Key Non-Functional System Requirements

  • System should support up to 10,000 concurrent users with minimal latency
  • Data refresh cycle to support real-time updates with a latency of less than 1 minute
  • Robust security measures including data encryption, user authentication, and access controls
  • Scalable architecture to accommodate 100% growth within 2 years

Projected Benefits and Business Impact

The new analytics and engagement platform is expected to significantly improve decision-making speed and accuracy, reducing data processing and reporting time by up to 50%. It will enable more personalized and timely client interactions, potentially increasing client retention and satisfaction. Additionally, enhanced data visibility will support strategic initiatives, leading to an estimated 20% growth in operational efficiency and a measurable uplift in revenue over the first year.

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