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Development of a Scalable Internal Analytics Dashboard for Client Engagement Optimization
  1. case
  2. Development of a Scalable Internal Analytics Dashboard for Client Engagement Optimization

Development of a Scalable Internal Analytics Dashboard for Client Engagement Optimization

elinext.com
Media
Advertising & marketing

Identifying Challenges in Data-Driven Client Engagement

The client faces difficulties in aggregating and analyzing diverse data sources efficiently, leading to limited insights into client engagement metrics and campaign effectiveness. This hampers timely decision-making and strategic planning across marketing campaigns.

About the Client

A mid-sized media agency seeking to enhance its data analysis capabilities to better understand client engagement and improve campaign performance.

Goals for Implementing a Robust Analytics Solution

  • Develop an internal analytics dashboard that consolidates data from multiple sources for comprehensive insights.
  • Enhance real-time data processing and visualization capabilities to support rapid decision-making.
  • Improve data accuracy and accessibility, reducing manual reporting efforts by 50%.
  • Increase client engagement understanding, aiming for a 20% improvement in campaign responsiveness and optimization.

Core Functional System Requirements

  • Data aggregation engine capable of integrating multiple sources (CRM, social media, ad platforms).
  • Dynamic dashboards with customizable widgets for various engagement metrics.
  • Real-time data processing and live updates for key KPIs.
  • User role-based access control to ensure data security.
  • Automated report generation and scheduled data exports.
  • Responsive interface compatible with desktop and mobile devices.

Technology Stack and Architectural Approaches

Cloud-based infrastructure for scalability and high availability.
Modern JavaScript frameworks for frontend development (e.g., React or Vue.js).
Backend services leveraging Node.js or Python for data processing.
Data visualization libraries such as D3.js or Chart.js.
Database solutions optimized for analytical workloads (e.g., PostgreSQL, NoSQL options).

External System Integration Needs

  • CRM platforms to import client interaction data.
  • Social media APIs for real-time engagement metrics.
  • Ad platform APIs for campaign performance tracking.
  • Authentication systems for secure user access.

Performance, Reliability, and Security Needs

  • System designed for minimal latency with real-time data updates.
  • Scalability to support increasing data volumes with a goal of processing up to 10,000 data points per second.
  • 99.9% uptime availability with robust disaster recovery plans.
  • Data security compliant with industry standards, including encryption at rest and in transit.

Expected Business Outcomes and Impact

The new analytics dashboard is projected to streamline data insights, reducing manual reporting efforts by 50%, and improve client campaign responsiveness by approximately 20%. These enhancements are expected to lead to increased client satisfaction, higher retention rates, and a boost in overall campaign ROI.

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