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Development of a Scalable Internal Data Management and Analytics System for Contracting Agencies
  1. case
  2. Development of a Scalable Internal Data Management and Analytics System for Contracting Agencies

Development of a Scalable Internal Data Management and Analytics System for Contracting Agencies

moravio.com
Construction
Business services

Identifying Challenges in Managing Large-Scale Contracting Operations

The company currently utilizes an outdated internal information system that struggles to handle the increasing volume and complexity of data related to thousands of monthly jobs, employee management, financial transactions, and statistical reporting. This results in inefficiencies, manual data handling, and limited scalability, hindering organizational growth and operational accuracy.

About the Client

A medium-sized contracting agency managing numerous part-time workers, job assignments, cash flows, and performance metrics, seeking to optimize internal operations and data processing capabilities.

Strategic Goals for Implementing an Advanced Data Management System

  • Design and develop a comprehensive internal data management system capable of processing thousands of monthly job records efficiently.
  • Automate and streamline employee, job, and payment management processes to reduce manual effort and minimize errors.
  • Enhance reporting and statistical analysis functionalities for strategic decision-making.
  • Ensure a smooth transition from the legacy system to the new platform, minimizing operational disruptions.
  • Achieve operational time and resource savings from the first day of deployment.

Core Functional Features of the Internal Data System

  • Automated data ingestion from monthly sources for all operational data
  • Employee management module with tracking of roles, schedules, and payments
  • Job management module for scheduling, status updates, and categorization
  • Financial module to handle cash flows, payments, and invoicing
  • Reporting and analytics dashboard for operational insights and trend analysis
  • User access control and security measures to protect sensitive information
  • Data validation and error handling features to ensure data integrity
  • Seamless migration tools to transition from legacy systems

Recommended Technologies and Architectural Approach

Web-based platform with scalable backend architecture
Cloud infrastructure for flexibility and scalability
Modern web frameworks for user interface development
API-driven architecture for integrations

External System Integrations Needed

  • Legacy system data import tools
  • Financial payment gateways
  • Reporting tools or BI platforms
  • Employee payroll systems

Critical Non-Functional System Requirements

  • System scalability to handle increasing data volumes and user load
  • High system availability with 99.9% uptime
  • Data security protocols compliant with industry standards
  • Fast data processing times to enable real-time analytics
  • User-friendly interface for diverse user roles

Projected Business Benefits and System Impact

Implementation of the new data management system is expected to significantly reduce manual data handling, improve operational efficiency, and enable detailed analytics for strategic decision-making. The system aims to save time and resources from day one and support the company's growth by handling complex data volumes with ease and providing valuable insights to stakeholders.

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