Think your data isn’t ‘AI-ready’? You might be surprised. Learn how to assess, prepare, and structure your business data for AI success – without needing a degree in data science.
Remember organising your shed? You know – that weekend when you finally sorted everything into proper boxes, labelled them, and could actually find your tools? Getting your data ready for AI is surprisingly similar. It’s not about having perfect data (who does?), but about knowing what you’ve got and getting it properly organised.
The Truth About Your Business Data
First up, some good news: you probably have more useful data than you think. Those Excel spreadsheets you’ve been using for years? That’s data. Your accounting software? That’s data. Even your email marketing list? You guessed it – that’s valuable data.
What “Good” Data Actually Looks Like
Customer Service Data
✓ Good Example:
Date: 15/01/2024 Customer ID: C123 Query Type: Delivery Response Time: 45 minutes Resolution: Yes
✘ Bad Example:
Monday - Jane dealt with Mr Smith's complaint about his delivery (SOLVED!)
Inventory Records
✓ Good Example:
Product: WIDGET-001 Stock Level: 45 Reorder Point: 20 Lead Time: 5 days Last Order: 01/01/2024
✘ Bad Example:
Widgets - getting low!! Order more next week?
Quick Data Health Check
1. Data Collection
We record customer interactions systematically We track sales data consistently We maintain updated inventory records We document operational processes
2. Data Storage
We use digital systems (not paper) We back up our data regularly We can access historical data easily We know where all our important data lives
3. Data Quality
Our data is mostly complete (few blank spaces) Our dates follow the same format Our categories are consistent We regularly clean our data
Download our free Data Readiness Assessment Template for a complete evaluation.Download Template
Making Your Data AI-Ready: Practical Steps
Step 1: Get Digital (£0-500)
If you’re still using paper records, start here:
- Basic digital tools (Excel, Google Sheets): Free
- Simple database software: £20-50/month
- Data entry support: £15-20/hour
- Scanner app for documents: £5-10/month
Step 2: Clean & Organise (£200-2,000)
Depending on your data volume:
- Data cleaning software: £50-200/month
- Professional data cleaning: £500-2,000 (one-off)
- Team training: £200-500
- Data template setup: £300-700
Step 3: Structure & Format (£500-3,000+)
For larger datasets:
- Database setup: £500-1,500
- Data migration: £500-1,000
- Integration tools: £100-300/month
- Ongoing maintenance: £200-500/month
Common Data Challenges (And How to Solve Them)
1. The “Multiple Versions” Problem
Situation: Your stock levels are in three different places, never matching up.
Solution: Choose one “source of truth” system. We helped a local retailer consolidate three spreadsheets into one cloud-based system, saving 5 hours weekly on reconciliation.
2. The “Missing Information” Headache
Situation: Customer records with gaps everywhere.
Solution: Create mandatory fields in your forms. A services business reduced incomplete bookings by 80% by simply making phone numbers required.
3. The “Inconsistent Format” Trap
Situation: Dates written as 01/01/24, 1-1-2024, and 1st Jan.
Solution: Use data validation rules. One of our clients automated this with a simple Excel template – we’ll share it below.
Data Protection: Keeping It Safe & Legal
Don’t let GDPR scare you – think of it as good housekeeping:
1. Only Keep What You Need
- Customer data: Yes
- Their favourite colour: Probably not
2. Know Where It Lives
- Map your data storage
- Document who has access
3. Keep It Safe
- Regular backups
- Basic security measures
Download our GDPR-friendly Data Template to get started.Download Template
Getting Started: Your 30-Day Data Plan
Week 1: Audit
- List all your data sources
- Identify gaps and duplicates
- Download our Data Audit Template
Week 2: Clean
- Remove duplicates
- Standardise formats
- Fill critical gaps
Week 3: Organise
- Set up folder structure
- Implement naming conventions
- Create backup system
Week 4: Maintain
- Train team on new processes
- Set up regular checks
- Plan ongoing maintenance
Free Resources to Get You Started
Download our starter pack including:
- Data Audit Template
- Format Standardisation Guide
- GDPR Checklist
- Quality Control Checklist
Next Steps
Not sure where to start? Book a free 30-minute data review call. We’ll help you:
- Assess your current data
- Identify quick wins
- Plan your next steps
Already started but stuck? Book a chat with our team – we’ll help you identify and fix the bottlenecks holding you back.
Success Story: Sarah’s Plumbing Services
“We thought our data was a mess – turns out we just needed to organise it better. Spent a fortnight getting everything in order using Northern Collective’s templates. Now our AI scheduling system runs like a dream, saving us £2,000 monthly in wasted journeys.”
Ready to get your data AI-ready? Download our free Data Foundation Toolkit or book a chat with our team to get started.