Azure Databricks Accelerator by Eunoia

Eunoia delivers a working implementation combining data ingestion, transformation, modelling, Power BI reporting and AI-powered data exploration. The engagement allows organisations to assess Azure Databricks capabilities and performance before progressing to a broader implementation.

BUSINESS CHALLENGES ADDRESSED

This service is designed for SME organisations experiencing:

• Fragmented reporting and siloed data
• Uncertainty about whether Azure Databricks can support their data and analytics requirements
• Limited internal experience with Azure Databricks
• Concerns about implementation complexity, scalability or integration
• The need to validate Azure Databricks before making a larger technology investment
• Security and governance concerns linked to inconsistent data architecture
• Difficulty demonstrating the potential value of a modern data platform to internal stakeholders

KEY BENEFITS FOR CUSTOMERS

• Reduced risk before full-scale implementation
• Evidence-based validation of Azure Databricks capabilities
• A practical understanding of how Azure Databricks performs within the customer’s environment
• Rapid value demonstration within four weeks
• A clear, governed architectural foundation based on modern data principles
• Operational insight through Power BI
• Practical exposure to AI-driven conversational analytics
• Identification of technical, integration and governance considerations before wider deployment
• A clear path to production implementation

WHAT THIS SERVICE DELIVERS

At the end of the engagement, customers receive:

• A working Azure Databricks implementation
• A data ingestion and transformation pipeline for a defined business domain
• A dimensional data model using Medallion architecture
• Operational Power BI reporting
• An AI-powered chat agent for conversational analytics
• Evidence of how Azure Databricks performs against the defined use case
• Basic documentation and a roadmap for future expansion

SCOPE OF WORK

The following deliverables are included:

• Up to three working sessions of 2 hours each with stakeholders
• Azure Databricks deployment and configuration
• Deployment in the development environment
• Data ingestion and transformation pipeline for one (1) data source and up to five (5) tables
• Dimensional data modelling using Medallion architecture (Bronze, Silver, Gold)
• Two (2) Power BI reports
• Up to three (3) Power BI calculations
• Three (3) to six (6) visuals per report
• Configuration of an AI-powered chat agent for natural language querying (60-day trial)
• Basic documentation and next-step roadmap

Optional extensions:

• Additional data sources and transformations
• Additional reports or enhanced report interactivity
• Data governance and KPI alignment workshops
• Historical data migration and harmonisation
• Production-ready implementation

APPROACH AND METHODOLOGY

The engagement follows a structured four-week implementation process covering discovery, use-case definition, access setup, Azure Databricks configuration, development, testing, validation, enablement and handover.

WHY EUNOIA

Eunoia specialises in modern data platforms across Azure, Fabric and Databricks, combining technical depth with practical business alignment.

The team balances architecture, governance and usability throughout the implementation. Its experience with Azure Databricks, Power BI and AI-powered conversational analytics helps organisations validate the platform through a practical business use case rather than a theoretical assessment.

TYPICAL ENGAGEMENT DURATION AND ASSUMPTIONS

Duration: 4 weeks

The engagement is a fixed-scope accelerator delivered in a development environment.

It is designed to validate Azure Databricks against one defined business use case. Production deployment, additional domains, expanded reporting and advanced governance are available as optional extensions.