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Development of an Internal Analytics Dashboard for Enhanced Data-driven Decision Making
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data-driven Decision Making

Development of an Internal Analytics Dashboard for Enhanced Data-driven Decision Making

innowise.com
Business services

Identified Challenges in Client Data Management and User Engagement

The client experienced difficulties in capturing and processing user contact information effectively, leading to suboptimal marketing outreach and limited insights into user engagement. The existing data collection processes were inefficient, resulting in delays and data inaccuracies that impeded targeted marketing efforts and decision-making workflows.

About the Client

A mid-sized international software services company specializing in delivering bespoke software solutions to professional clients worldwide, with a focus on streamlining client interactions and internal operations.

Goals for Enhancing Data Collection and Client Engagement

  • Implement a secure, user-friendly contact capture form to facilitate easy collection of client contact details.
  • Ensure compliance with data privacy regulations while enabling personalized marketing communications.
  • Automate the process of email data validation and confirmation to improve data accuracy and reduce manual follow-up.
  • Develop a comprehensive internal analytics dashboard to provide real-time insights into contact data collection metrics, user engagement, and campaign effectiveness.
  • Increase marketing outreach efficiency by enabling targeted communication based on collected user data.
  • Establish a reliable data processing pipeline for handling large volumes of contact information, with scalability for future growth.

Core Functional Specifications for Contact Management and Analytics

  • Secure contact form with CAPTCHA and validation to prevent spam and ensure data integrity.
  • Personal data processing with user consent management in compliance with privacy laws.
  • Automated confirmation email system to validate contact details and improve data quality.
  • Backend database for storing contact details with encryption at rest.
  • Role-based dashboards for marketing and analytics teams, displaying metrics such as form submissions, email confirmation rates, and engagement statistics.
  • Real-time data visualization modules for tracking user interactions and campaign performance.
  • Automated reporting tools for periodic insights and trend analysis.

Recommended Technologies and Architectural Approaches

React.js for front-end development of user engagement forms and dashboards
Node.js and Express for server-side processing and API development
MongoDB or similar NoSQL database for scalable data storage
OAuth 2.0 and TLS/SSL protocols for secure data exchanges
Cloud deployment on a scalable platform such as AWS or Azure

External System Integration Requirements

  • Email delivery services for confirmation and marketing emails
  • Data privacy management tools to ensure compliance with relevant regulations
  • Analytics platforms for detailed engagement tracking and visualization
  • CRM systems or existing client databases for data synchronization

Essential Non-Functional Specifications

  • System must support at least 10,000 concurrent users with minimal latency
  • Data security measures including encryption, secure access controls, and regular audits
  • High system uptime of 99.9% with disaster recovery protocols
  • Scalable architecture to accommodate future growth in contact volume and users
  • Compliance with GDPR and other relevant data protection regulations

Projected Business Outcomes and Benefits

The implementation of an advanced contact collection and analytics platform is expected to significantly improve data accuracy and marketing efficiency, leading to an estimated 30% increase in successful targeted marketing campaigns, enhanced user engagement insights, and overall improved operational decision-making capabilities.

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