01 · Data, Dashboards, and Intelligence
Data Processing and Preparation
Raw records cleaned, matched and shaped so the numbers can be trusted.
Data, Dashboards, and Intelligence
Data Processing and Preparation
Raw records cleaned, matched and shaped so the numbers can be trusted.
Showing 1 of 6
- 1Profile the data
- 2Clean and match
- 3Transform
- 4Test the output
- 5Publish and log
What We Do for You
- Clean, standardise and de-duplicate your records.
- Build the transformation pipeline that shapes data for reporting.
- Add validation rules and hold rejects for review.
- Model the data so reports stay fast and consistent.
- Document where every figure came from.
How this is bought: Bought as a defined project: fixed scope, agreed milestones, handover and training. Build an estimate for your case.
Our Approaches Explained
Cleansing and standardisation
Fixing formats, spellings, dates and units so records compare properly.
De-duplication and record matching
Recognising that two entries are the same customer, and merging them safely.
Validation rules
Checks applied on the way in - required fields, ranges, referential integrity - with rejects held for review.
Transformation pipelines (ETL / ELT)
The staged process that moves raw data into reporting shape, versioned like software.
Enrichment
Adding context from other sources - geography, category, segment - to make analysis possible.
Data modelling
Organising into facts and dimensions so reports stay fast and consistent.
Orchestration and scheduling
Dependencies, retries and alerting so a failed step does not silently produce a wrong report.
Lineage tracking
A record of where every figure came from and what was done to it.
The Standards We Work To
SQL and dbt-style transformationAirflow-style orchestrationStar and snowflake schemasData contractsGreat Expectations-style testing
We follow the structure and controls these standards describe. We do not claim to be certified against them - where you need a formal certificate, we prepare the evidence and an accredited body performs the audit.
What You Get
- Cleansing and matching rules
- Transformation pipeline
- Validation and reject handling
- Data model documentation
- Lineage map
Records passing validation93%
Duplicates resolved88%
Pipelines tested automatically85%
These are the areas clients most often ask us to improve. Your project sets its own targets, measured and agreed with you.