project-5eba6ee2 System Requirements Document

Introduction

This System Requirements Document (SRD) outlines the requirements for building a company website similar to QuickLaunch Analytics, as pre-approved by the API supervisor. The project, named project-5eba6ee2, aims to replicate the functionalities and features of the QuickLaunch Analytics website while maintaining a unique identity.

System Overview

The project-5eba6ee2 website will serve as a comprehensive platform for showcasing the company's analytics capabilities, industry focus, and application packs. It will provide detailed insights into the company's offerings, methodologies, and customer success stories, aiming to bridge the gap between complex systems and actionable insights.

Source Content Inventory

• Company Name: QuickLaunch Analytics
• Formerly: Preferred Strategies
• Duration: Over 20 years
• Team Experience: Over 500 years combined
• Data Platforms: Databricks, Microsoft Fabric, Power BI
• Industry Focus: ERP, CRM, FPM, Construction, Manufacturing, Distribution, Food & Beverage, Technology, Chemicals, Life Sciences, Public Sector, Agriculture, Real Estate, Telecommunications
• Application Packs: JD Edwards, Viewpoint Vista, Viewpoint Spectrum, NetSuite, OneStream, Salesforce
• Key Metrics (NetSuite Pack): 600+ measures and KPIs, 500+ dimensions, 32 tables, 40 relationships
• JD Edwards Pack: 29 perspectives, 3,000+ measures, 200+ relationships
• ROI Statistics: 70% implementation time reduction, 50% maintenance cost decrease, 90% faster report development
• Deployment Timeline: 8–12 weeks
• Cost Savings: 40–60% lower implementation cost
• Query Performance Foundation: Modeled foundation, fact dimension tables, semantic models, partitioning, 250+ enterprise implementations
• Tools: Delta Editor, Schema Compare, Tabular Editor 3 scripts
• Methodologies: Role-based access control with Entra ID, partitioning methodology, currency conversion, unit of measure conversion
• Team Size: Over 35 data experts
• Foundation Pack Components: Automated Data Pipelines, Cloud-Native Data Lakehouse, Enterprise Analytics Framework, Training (Lakehouse Administrator, Data Model Administrator, Power BI Report Designer, End User)

Functional Requirements as Story Points

• As a User, I should be able to view detailed information about the company's analytics capabilities and methodologies.
• As a User, I should be able to explore the industry focus and application packs offered by the company.
• As a User, I should be able to access customer success stories and testimonials.
• As a User, I should be able to schedule a demo or discovery call through a call-to-action feature.
• As a User, I should be able to navigate through the main sections of the website, including Platform Overview, Analytics Packs, Foundation Pack, About, Learn, Contact, Community, and Support.
• As a User, I should be able to access training resources for different roles such as Lakehouse Administrator and Power BI Report Designer.
• As a User, I should be able to view the company's mission, values, and team experience.

User Personas

• Enterprise Data Team Member: Interested in technical details and methodologies.
• IT Leader: Focused on governance, security, and deployment timelines.
• Business Intelligence Professional: Seeks insights into analytics capabilities and tools.
• Power BI User: Interested in training resources and application packs.
• ERP/CRM System Stakeholder: Looks for industry-specific solutions and ROI statistics.

Core User Flows

• User visits homepage -> Navigates to Platform Overview -> Explores analytics capabilities and methodologies.
• User visits homepage -> Navigates to Analytics Packs -> Views industry focus and application packs.
• User visits homepage -> Navigates to About -> Reads about the company's mission, values, and team experience.
• User visits homepage -> Clicks on Schedule Demo -> Fills out contact form for a demo or discovery call.

Visuals Colors and Theme

• primary: #1A237E (Deep Indigo)
• primary_light: #5C6BC0 (Light Indigo)
• secondary: #FF7043 (Coral)
• accent: #FFEB3B (Vibrant Yellow)
• highlight: #FFC107 (Amber)
• bg: #F5F5F5 (Light Grey)
• surface: rgba(255, 255, 255, 0.8) (White)
• text: #212121 (Dark Grey)
• text_muted: #757575 (Muted Grey)
• border: rgba(0, 0, 0, 0.1) (Light Black)

Signature Design Concept

The homepage will feature an interactive galaxy map where each star represents a feature or section of the website. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections. This concept will be implemented using @react-three/fiber and @react-three/drei for a 3D interactive experience. The galaxy map will visually represent the company's comprehensive analytics capabilities and industry focus.

Landing Hero Motion Brief

The landing hero will illustrate a data transformation journey: raw data enters from the left, passes through a series of animated analytics processes, and emerges as actionable insights on the right. This continuous loop will be created using motion/react for smooth transitions and interactions. The animation will highlight the company's ability to transform complex data into valuable insights, with layers representing different stages of data processing.

Interaction Model & Motion Direction

• Intended Interaction Model: Parallax
• The homepage will feature layered depth via scroll, with decorative layers translating at different speeds to create a visually rich first impression. Real content will stay in normal flow and scroll naturally, enhancing the storytelling aspect of the website.

Non-Functional Requirements

• The website should load within 3 seconds on a standard broadband connection.
• It should be accessible and comply with WCAG 2.1 AA standards.
• The website should be responsive and function seamlessly across all major browsers and devices.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The website will primarily target enterprise data teams, IT leaders, and business intelligence professionals.
• The project will adhere to the timeline and budget constraints as specified by the client.
• All content and branding elements will be provided by the client.

Glossary

• ERP: Enterprise Resource Planning
• CRM: Customer Relationship Management
• FPM: Financial Performance Management
• DAX: Data Analysis Expressions
• AI-ready: Capable of supporting AI workloads
• MEDALLION architecture: A data architecture pattern with Bronze, Silver, and Gold layers

This document serves as a comprehensive guide for the development of project-5eba6ee2, ensuring that all requirements are met and the final product aligns with the client's vision and objectives.