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Development of Scalable Data-Heavy Process Management Platform

gogoapps.io

Information technology

Financial services

Business services

Challenges with Data-Heavy Process Management

GogoApps faced challenges in managing and transforming large volumes of data within complex business processes. Existing systems were inflexible, leading to inefficiencies and hindering the ability to adapt to changing business requirements. They needed a solution that could scale to accommodate growing data volumes and support a self-organizing engineering team.

About the Client

GogoApps is a technology company specializing in developing and implementing data-driven solutions for businesses. They focus on building scalable and self-organizing software platforms to streamline complex processes.

Project Goals

Develop a scalable and robust data-heavy process management tool.
Enable efficient management of complex business workflows.
Support a self-organizing frontend engineering team.
Provide regular, iterative deliverables aligned with a product roadmap.
Ensure adherence to security standards (ISO/IEC 27001).

Functional Requirements

Data ingestion and processing pipeline
Workflow definition and management
Real-time process monitoring and alerting
User access control and security features
Integration with existing business systems
Version control and audit trails

Preferred Technology Stack

React

Redux

RxJs

Sass

Jest

Zephyr

Selenium

Jenkins

Cucumber

Required Integrations

Existing internal data storage systems
Potential integration with CRM/ERP systems

Non-Functional Requirements

High scalability to handle increasing data volumes
High performance and low latency
Robust security measures to protect sensitive data
Self-organizing team support through clear architectural decision records and well-defined processes

Expected Business Impact

The successful development of this platform will enable GogoApps to offer more sophisticated and scalable solutions to its clients. It will streamline process management, improve data-driven decision-making, and accelerate product development cycles. The ability to support a self-organizing team will lead to increased agility and innovation.