You will get Clean, Structured Data for Reporting and Automation
Project details
Messy data creates reporting errors, broken automations, duplicate records, and costly business decisions.
I help businesses clean, organize, and structure their data so it becomes reliable, scalable, and ready for reporting, automation, and AI initiatives.
Whether you're working with spreadsheets, CSV files, PostgreSQL, MySQL, SQL Server, Supabase, or other structured databases, I'll review your current setup, identify data quality issues, and create a cleaner, more organized foundation.
What You Receive:
✓ Data cleanup and organization
✓ Relational database design or optimization
✓ Improved data structure and consistency
✓ Schema documentation and recommendations
✓ One revision
Ideal for businesses struggling with duplicate records, inconsistent reporting, poor database organization, or data chaos that is slowing operations.
Project Scope:
• Limited to agreed data sources and tables
• Live production migrations are not included
• Additional systems, integrations, or maintenance may require a separate project
I help businesses clean, organize, and structure their data so it becomes reliable, scalable, and ready for reporting, automation, and AI initiatives.
Whether you're working with spreadsheets, CSV files, PostgreSQL, MySQL, SQL Server, Supabase, or other structured databases, I'll review your current setup, identify data quality issues, and create a cleaner, more organized foundation.
What You Receive:
✓ Data cleanup and organization
✓ Relational database design or optimization
✓ Improved data structure and consistency
✓ Schema documentation and recommendations
✓ One revision
Ideal for businesses struggling with duplicate records, inconsistent reporting, poor database organization, or data chaos that is slowing operations.
Project Scope:
• Limited to agreed data sources and tables
• Live production migrations are not included
• Additional systems, integrations, or maintenance may require a separate project
Database Type
MySQL, MS SQL, MS Access, SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$250
|
Standard
$450
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 9 days |
Number of Revisions | 1 | 1 | 1 |
Number of Tables Added | 1 | 5 | |
Schema Diagram | |||
Permissions Setup | - | - | |
Import/Export Data | |||
Admin Panel Setup | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Table Architecture
(+ 1 Day)
+$75
AI Agent Pre-Flight Check
+$150
Additional Data Source
(+ 1 Day)
+$85Frequently asked questions
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VN
Varinder N.
Aug 31, 2020
technical writer
Highly recommend her.
About Dianne
Available Technical Entrepreneur and Data Operations Architect
Montego Bay, Jamaica - 9:54 am local time
My work combines data architecture, workflow automation, and modern AI tools to transform scattered spreadsheets, disconnected systems, and manual processes into reliable business assets.
Services include:
• Data cleanup, organization, and AI readiness assessments
• Workflow automation using Make, Zapier, Airtable, and custom integrations
• AI-powered knowledge systems and business data assistants
• Database design and relational schema development
• Reporting and operational visibility improvements
• Lightweight web applications and business tools using Firebase and modern cloud platforms
Whether you're preparing for an AI initiative, struggling with messy operational data, or looking to eliminate repetitive manual work, I focus on delivering solutions that are practical, maintainable, and aligned with business goals.
I bring both technical implementation skills and a systems-thinking approach, helping businesses understand not just how to build a solution, but why it works and how it supports long-term growth.
Steps for completing your project
After purchasing the project, send requirements so Dianne can start the project.
Delivery time starts when Dianne receives requirements from you.
Dianne works on your project following the steps below.
Revisions may occur after the delivery date.
Database Review & Assessment
Review existing data structure, identify quality issues, duplicate records, and optimization opportunities.
Data Cleanup & Database Optimization
Clean and organize the approved data scope while improving database structure and relationships.