Solutions
Data analytics and marketing intelligence
Systems that collect customer-behaviour and campaign data, store and process it, and turn it into reports, charts, and model-based insights for marketing and advertising decisions.
What this service covers
- 01
Data collection
Automated collection of user-defined data from websites, advertising platforms, and imports, with custom fields and tagging.
- 02
Data storage & processing
Structured databases with validation, editing controls, change warnings, and complete record keeping.
- 03
Statistical & AI models
Statistical and machine-learning models applied to collected data to identify trends, segments, and campaign performance.
- 04
Reporting & dashboards
Scheduled reports and graphical charts generated at user-defined times and intervals.
- 05
Campaign analytics
Analysis of promotional campaigns and advertising results to support budget and targeting decisions.
- 06
Data import
Import of data in defined formats (text, integer, decimal, date and time), with editing tools after import.
Typical technologies
Technologies are selected per project and confirmed in the System Design Specification.
| Languages | Python, SQL, TypeScript |
|---|---|
| Analytics | pandas, scikit-learn, statistical modelling |
| Data | PostgreSQL, BigQuery, Redis; scheduled ETL jobs |
| Reporting | Web dashboards, chart libraries, exportable reports |
What you receive
Commercial terms: dedicated team billed monthly by man-day, fixed-scope project, or maintenance agreement. See How we work.
- Data model and data dictionary
- Configured collection, processing, and reporting modules
- Model documentation and validation results
- User and administrator guides
Data protection controls
- Personal data is processed on the client's instructions under a data-processing agreement.
- Collection scope is defined by the client and limited to what the analysis needs.
- Access to data and reports is restricted by user role.
- Integrations with advertising platforms follow those platforms' terms and data policies.
Next step
Discuss your Data Analytics and Marketing Intelligence project
Send us a short description and we will come back with questions and next steps.