Databricks Discovery Engagement

Many enterprises struggle with fragmented data architectures, inefficiencies, and high operational costs.

Our Databricks Discovery Engagement provides a structured pathway to modernisation by evaluating existing data landscapes, defining an optimised future-state architecture, and creating a phased roadmap for Databricks adoption.

• 🔍 AI & Data Strategy Assessment – Evaluate current architecture, performance, and security posture.
• 📈 Business Value Assessment – Identify data-driven opportunities and quantify ROI potential.
• 🛠 Modernisation Roadmap – Develop a step-by-step execution plan for Databricks adoption.
• 💰 Investment Case & Cost Modelling – Create a structured, board-ready business case.

• 📅 Week 1 – Framing the Opportunity
  ✅ Align objectives, assess current landscape, and identify quick wins.

• 📅 Week 2 – Validating Business Value
  📊 Quantify benefits, conduct opportunity workshops, and prioritise initiatives.

• 📅 Week 3 – Defining the Modernisation Roadmap
  🔧 Establish future technical strategy and phased implementation approach.

• 📅 Week 4 – Building the Investment Case
  💡 Finalise findings, present cost-benefit analysis, and align on execution strategy.

• 🏅 Databricks Consulting Service Provider & AWS Premier Partner – Proven track record in scalable data platform modernisation.
• 🤖 AWS Data & Analytics & Generative AI Competencies – Recognised expertise in AI, big data, and cloud solutions.
• 🔗 Business & Technical Alignment – We bridge the gap between strategy and execution.
• ⚡ Accelerated Insights – Rapid assessment framework for quick and actionable recommendations.
• 🔐 Security & Compliance Focus – Ensuring AI/ML and data governance best practices.

Databricks on AWS leverages AWS native services such as EC2, S3, IAM, CloudWatch, CloudTrail, Glue, and many more, ensuring seamless integration, security, and scalability for data-driven workloads.