NCP MEDIA / CONSULTING SERVICES
Data Cleaning & Annotation.
Prepare your data for the work ahead.
Make datasets more consistent and useful for analysis or model development. We help define the cleaning rules, labels and checks your project needs.
Built around your requirements.
We begin by understanding the data format, intended use and known quality issues. Cleaning may cover duplicates, inconsistent values or formatting; annotation starts with clear label definitions and examples. A sample pass helps agree the rules before work expands. The handover includes the prepared output and the agreed quality checks, with ambiguous cases identified for review.
How we can help
- Dataset review and preparation rules
- Cleaning, normalization and deduplication
- Annotation guidelines and dataset labelling
- Quality checks and agreed output formats
From enquiry to a clear plan.
Share your requirements
Complete the service form with your goals, current setup and priorities.
Define the scope together
We review your request and discuss the work, dependencies and proposed approach.
Agree the next steps
Deliverables, timing and fees are agreed before the project starts.
Data Cleaning & Annotation
Tell us what you need.
Share a few details so our team can assess your request and discuss the next steps.
Useful details to include
Tell us the data type, approximate volume and the work required. Describe the intended output format and any existing label definitions. The initial form needs a description of the dataset, not the dataset itself.
Prefer email? info@ncp-media.com
Common questions.
Can we start with a sample of the dataset?
Yes. A sample review can help define rules, identify ambiguous cases and estimate the wider scope. Any data transfer method is agreed separately after the enquiry.
How are annotation requirements defined?
We agree the label set, examples, edge cases and quality checks before the main work. Existing guidelines can be reviewed and refined for the intended use.