Data cleansing
Data cleansing is about making your existing data reliable, consistent, and easy to work with.
Messy or inconsistent datasets can lead to mistakes, wasted time, and a lack of confidence in reports or analysis. Data cleansing ensures that the information you rely on is accurate and ready for use.
When data cleansing is useful
Data cleansing is often needed when:
- You notice duplicates, missing values, or inconsistent formatting
- Reports or analyses frequently produce unexpected results
- You spend time manually checking or correcting data before using it
- You’re consolidating multiple data sources and need a reliable foundation
If any of these sound familiar, data cleansing can save both time and frustration.
What I typically help with
I focus on practical interventions that improve data quality without overcomplicating things. Common tasks include:
- Identifying and removing duplicates
- Standardising formats (dates, addresses, codes, etc.)
- Correcting obvious data entry errors
- Flagging gaps or inconsistencies for follow-up
The goal is always to leave you with data that is easier to trust and work with.
What you can expect
When we work together:
- I review your data carefully to understand the issues
- I apply solutions that are clear, maintainable, and reproducible
- You get data that is consistent, accurate, and usable for reporting, analysis, or import into other systems
The focus is on practical, usable results — not flashy automation or unnecessary complexity.
Next steps
If you’re ready to get your data in shape, the best place to start is to get in touch and outline the challenges you’re facing.