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Development of a Centralized Digital Customer Onboarding and Analytics Platform
  1. case
  2. Development of a Centralized Digital Customer Onboarding and Analytics Platform

Development of a Centralized Digital Customer Onboarding and Analytics Platform

innowise.com
Business services

Problem Statement: Inefficient Client Onboarding and Disjointed Data Management

The client faces challenges with cumbersome onboarding processes for new clients, leading to delays and inconsistent data collection. Additionally, their existing systems lack integrated analytics capabilities, hindering tailored marketing efforts and real-time decision-making. Their manual data processing results in delayed insights and limited scalability.

About the Client

A large international enterprise specializing in digital marketing and customer engagement, seeking to streamline client onboarding and enhance data-driven marketing strategies.

Project Objectives: Streamline Onboarding and Enhance Data Analytics Capabilities

  • Develop a unified digital onboarding platform to simplify and accelerate client registration and verification processes.
  • Implement a secure, scalable data management system to aggregate and organize client information effectively.
  • Create an internal analytics dashboard for real-time insights into client engagement and marketing campaign performance.
  • Ensure the platform supports high volume data processing with minimal latency to facilitate timely decision-making.
  • Achieve a measurable reduction in onboarding time by at least 30% and improve data accuracy.

Functional Requirements for Client Onboarding and Analytics System

  • Digital onboarding interface supporting multi-step client registration, document verification, and approval workflows.
  • Secure authentication and role-based access controls for internal staff.
  • Automated data validation and cleansing processes to ensure data quality.
  • Centralized database with robust data indexing and search capabilities.
  • Customizable dashboards displaying key performance indicators (KPIs) such as onboarding efficiency, client engagement metrics, and campaign analytics.
  • Real-time data streaming and visualization features to support prompt decision-making.
  • API endpoints for integrating with third-party marketing tools and external data sources.

Preferred Technologies and Architectural Approaches

Cloud-based infrastructure for scalability (e.g., AWS, Azure, or GCP)
Modern web frameworks for frontend development (e.g., React, Angular)
Secure backend APIs using REST or GraphQL protocols
Big data technologies for processing large volumes of client data (e.g., Kafka, Spark)
Data storage solutions ensuring high availability and security (e.g., relational and NoSQL databases)

External System Integrations Needed

  • Third-party authentication providers (OAuth, SAML)
  • Customer relationship management (CRM) systems
  • Marketing automation platforms
  • External analytics and data visualization tools

Key Non-Functional Requirements and Performance Metrics

  • Platform must handle data processing for at least 10,000 clients concurrently.
  • System uptime target of 99.9% with robust disaster recovery protocols.
  • Data security measures complying with GDPR and other relevant standards.
  • Response times for user interactions should be under 2 seconds.
  • Scalability to support rapid growth in client base and data volume.

Expected Business Impact and Project Benefits

The implementation of the unified onboarding and analytics platform is anticipated to reduce client onboarding time by approximately 30%, improve data accuracy and consistency, and enable real-time insights for marketing strategies. These improvements are projected to increase overall client engagement efficiency, enhance decision-making speed, and support scalable growth for the organization.

More from this Company

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Development of an Internal Analytics Dashboard for Enhanced Data Management