Data Cleansing
Boost the consistency, reliability, relevance and security of your company data, at big-data scale.
Clean data, confident decisions
Quality you can measure
Boost the consistency, reliability, relevance, and security of your company data by eliminating errors and reducing inconsistencies, so your teams make accurate and informed decisions.
We build repeatable cleansing pipelines with Apache Spark that validate, standardise and de-duplicate very large data sets, whether they arrive in scheduled batches or as real-time streams.
What we deliver
A standardised cleansing process that covers every stage, from identification to monitoring.
Critical Data Field Identification
Identify the fields that drive your reporting, billing and models, and define quality rules for each one.
Data Collection & Profiling
Consolidate data from databases, files and event streams, and profile it to reveal gaps and anomalies.
Fixing Structural Errors
Correct formats, naming conventions, encodings and data types so data from every source lines up.
Managing Unwanted Outliers
Detect duplicates, outliers and irrelevant records, and handle them with clear, auditable rules.
Handling Missing & Empty Values
Resolve empty and missing values through validation, enrichment or documented imputation.
Review, Adapt, Repeat
Automated pipelines that run on a schedule, so data quality holds up as your volumes grow.
Built on the Hadoop ecosystem
Cleansing pipelines run on Apache Spark over HDFS and Delta Lake, take in real-time streams from Apache Kafka and are orchestrated with Apache Airflow. Versioned tables keep a full history of every change.
How we work
Cleansing is not a one-off project. We make it part of how your data flows.
1. Assess
Profile your data sources and measure current quality against the rules that matter to your business.
2. Cleanse
Apply automated rules that fix errors, remove duplicates and fill gaps across batch and streaming data.
3. Monitor
Scheduled quality checks and reports keep your data clean over time, not just once.
Explore our Data & AI services
Each service stands on its own, and together they take you from raw data to AI in production.
Data Modelling
Structure your data for business intelligence, analytics and AI with models built for big-data scale.
Model Training
Train, inspect and fine-tune machine-learning models on your full data sets.
AI Model Training
Train and fine-tune deep-learning models and LLMs on our in-house GPUs, with data collected at scale.