Why Lakehouse Projects Stall
Enterprise data leaders face intense pressure to modernise, but obstacles are everywhere:
- Too many choices and conflicting priorities—with the fear of costly mistakes.
- Internal skill gaps and time to retrain.
- Legacy data platforms with spaghetti code and hidden business logic.
- Expensive consulting engagements that fail to embed new ways of working.
- Business users requesting self-serve and AI-enabled Q&A.
Without a clear path forward, progress stalls, opportunities are missed, and AI readiness remains out of reach.
Start
Identify your first use case and deliver a working outcome quickly. Early wins provide tangible results and lay the foundation for the next phase.
Build
Expand with governed architecture, repeatable design patterns, and robust data management frameworks. Your team gains skills and confidence through embedded coaching.
Grow
Scale confidently to more use cases, teams, and advanced capabilities: including AI and machine learning, without rebuilding. Governance, security, and extensibility are built in from the start.
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Case Study: RESIMAC
Tech stack flexibility, fast insights, and a future-proof platform
RESIMAC built its modern data platform with Launchpad under tight deadlines. By focusing on incremental delivery and embedding governance, the team delivered insights faster, avoided technical debt, and built lasting capability.
Other clients include:
Managed self-service analytics
Deliver trusted data in context to all users.
Urgent, high-value insights
Deliver working outcomes in days for compliance, reporting, or market opportunities.
Department-led innovation
Empower teams to explore analytics or AI use cases without waiting for enterprise rebuilds.
Cloud adoption and replacement of legacy platforms
Modernise brittle, costly systems with a governed foundation that integrates or replaces seamlessly.
Data sharing across the organisation
Create governed data products that break down silos and support data mesh and fabric adoption.
Laying the groundwork for AI
Metadata‑driven structures, governance, and data quality processes ensure readiness for generative AI and advanced analytics.
Build momentum for transformation
Secure stakeholder buy‑in with visible early wins.
Why Launchpad Works
Launchpad makes Medallion Architecture practical. It combines the agility of small‑scale delivery with the discipline of enterprise data architecture.
The result is a platform that:
- Delivers working outputs in the first sprint.
- Uses a phased model and modular assets to scale with business needs.
- Reduces risk with privacy, security, and governance by design.
- Supports analytics, Machine Learning, and generative AI from day one.
- Works across leading Lakehouse platforms, including Databricks, Snowflake, and Microsoft Fabric on Azure or AWS.
Unlike other approaches, you don’t need to trade speed for quality. Launchpad is designed to give you both.
Who It’s For
Launchpad is ideal for organisations that:
- Need a low‑risk, fast start to Lakehouse delivery.
- Want early wins to build momentum and internal buy‑in.
- Are moving to the cloud, replacing or modernising legacy platforms.
- Need to bridge urgent insight needs with long‑term strategy.
If you’re a data leader who wants progress without overcommitting, Launchpad is designed for you.
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