# Data Platforms — Intelligen

Design and Implement.

## Platform Objectives

- Ingestion — Capture & Integrate: Ensuring that the right data is being collected, in a format that adds the most value.
- Enrichment — Search & Discover: Providing relevant information regarding where it comes from and what it represents.
- Analysis — Model & Structure: Applying business logic to the data to be used consistently across the organisation.
- Activation — Report & Visualise: Ensuring the business can make decisions based on facts and evidence.

## Our Approach

### Phase 1: Business Definition & Platform Design
- Core processes across project lifecycle
- Platform design, architecture and tool selection
- Data and ML framework definition
- User interface, workflow reporting and audit/compliance design

### Phase 2: Prototype Build
- Platform built with core functions enabled
- Data sources captured and loaded
- User experience and workflow built and enabled
- Governance framework and key stakeholder reports developed

### Phase 3: Production Deployment
- Productionise data capture and integration
- Iterative delivery of use-cases and projects
- Automated governance function and dedicated reporting

### Phase 4: Operate & Iterate
- Ongoing platform operation and maintenance
- Platform enhancements and tuning
- Onboarding of new projects and data
- Expansion of platform into new fields

## Technologies We Work With
Microsoft Fabric, Databricks, Snowflake, Azure Synapse, Azure Data Factory, dbt, Fivetran, Microsoft Purview, Power BI, Tableau