Data Products Ready for AI
15
▲ from 7 sources
Average Data Completeness
84%
▲ across all sources
Data Products Updated (Last 7 Days)
8
■ ensuring fresh insights
Data Completeness by Source
This shows how complete your data is from each major system, helping you focus on areas needing improvement.
Data Products by Type
This chart categorizes your data assets, showing how much structured vs. unstructured data is being prepared for AI.
What I'd do for you
✓
Build Fast, Reliable Data Views
I write optimized SQL to turn complex enterprise data into simple, fast views for your teams.
✓
Automate Data Pipelines
I build Python pipelines to move and transform your data, making it consistently available.
✓
Enable AI Agents with Data
I create the APIs and data structures AI needs to understand and use your business information.
✓
Ensure Data Quality & Testing
I build automated tests to catch data issues early, ensuring your AI and reports are accurate.
⚡ Plus, repetitive work I'd put on autopilot
Auto-update data views for AI
Python · cron
Semantic tagging for documents
Python · Custom API
Notify on data quality issues
Python · Slack API
See how I'd build this on your live system — and the data behind it
How it works in production
How I'd set this up on your live system:
Source Systems
CRM, ERP, Document Mgmt, etc.
Your existing enterprise data sources, structured and unstructured.
→
Data Pipelines & Transformation
Python · Advanced SQL
Automated scripts to extract, clean, and transform your complex data.
→
Semantic Layer & APIs
SQL Views · Python APIs
Fast, reliable data products and APIs for AI agents and applications.
→
Quality & Deployment
Automated Testing · CI/CD
Continuous checks and deployments for consistent, high-quality data.
AI-Ready Data Product Details
| Record ID | Data Source | Data Type | Completeness Score (%) | Last Updated (Days Ago) | Semantic Tags | Usage Count |
|---|---|---|---|---|---|---|
| 101 | CRM | Structured | 95 | 2 | Customer, Sales, Contact | 120 |
| 102 | ERP | Structured | 88 | 7 | Finance, Inventory, Product | 85 |
| 103 | Document Mgmt | Unstructured | 70 | 15 | Legal, Contract, Agreement | 45 |
| 104 | Website Analytics | Structured | 98 | 1 | Marketing, Traffic, User | 210 |
| 105 | Support Tickets | Unstructured | 80 | 3 | Support, Issue, Resolution | 150 |
Raw source data
dataset.csv — showing 12 of 15 rows. Everything above is computed from this file, untouched.
| Record ID | Data Source | Data Type | Completeness Score (%) | Last Updated (Days Ago) | Semantic Tags | Usage Count | Data Owner |
|---|---|---|---|---|---|---|---|
| 101 | CRM | Structured | 95 | 2 | Customer, Sales, Contact | 120 | Sales Ops |
| 102 | ERP | Structured | 88 | 7 | Finance, Inventory, Product | 85 | Finance |
| 103 | Document Mgmt | Unstructured | 70 | 15 | Legal, Contract, Agreement | 45 | Legal |
| 104 | Website Analytics | Structured | 98 | 1 | Marketing, Traffic, User | 210 | Marketing |
| 105 | Support Tickets | Unstructured | 80 | 3 | Support, Issue, Resolution | 150 | Customer Service |
| 106 | HR System | Structured | 92 | 10 | Employee, Payroll, Benefits | 60 | HR |
| 107 | CRM | Structured | 90 | 5 | Customer, Sales, Opportunity | 110 | Sales Ops |
| 108 | ERP | Structured | 85 | 9 | Finance, Purchase Order | 70 | Finance |
| 109 | Document Mgmt | Unstructured | 65 | 20 | Compliance, Policy | 30 | Legal |
| 110 | Website Analytics | Structured | 99 | 1 | Marketing, Conversion, Ad | 250 | Marketing |
| 111 | Support Tickets | Unstructured | 75 | 4 | Feedback, Feature Request | 130 | Product |
| 112 | HR System | Structured | 94 | 8 | Recruiting, Applicant | 50 | HR |
Ready to build your AI-ready data layer?
I can start building these solutions on your real data in days.
bing@bkydataconsulting.com