A data strategy that survives execution.
We help leadership move from a mandate to become data-driven into a credible, executable blueprint , covering the data audit, governance framework, AI use case prioritisation, and the 12–24 month roadmap that ties it all together. Recommendations are based on your scale, budget, and internal capabilities, not on a generic reference architecture.
Three signals that this is the right next step.
Where to start. And what to defer.
Illustrative prioritisation framework. The full model scores use cases across four dimensions , business impact, data readiness, implementation effort, and risk level , producing a ranking that can be defended to any stakeholder.
The strategy filter. Built for execution, not theatre.
We merge audit, prioritisation, governance, roadmap, and architecture decisions into one operating model so the strategy can survive real delivery constraints.
Map sources, quality, ownership, and gaps first so the strategy is grounded in reality instead of an aspirational deck.
Rank use cases by business impact, data readiness, effort, and risk so the loudest sponsor does not become the roadmap.
Define ownership, access, quality rules, and regulatory controls for the teams that run the data, not just for documentation.
Build a 12–24 month path with delivery milestones that match organisational cycle time, avoiding five-year visions and big-bang governance rollouts.
Recommend platforms around scale, budget, capability, and regulatory reality so the architecture can actually be operated.
Every recommendation has to survive stakeholder challenge and implementation reality.
The engagement produces a current-state baseline, a scored AI portfolio, executable governance, a realistic roadmap, and a context-fit platform recommendation. It avoids politics-led prioritisation, shelfware decks, oversized governance launches, and architectures the internal team cannot sustain.
Turning enterprise data into business intelligence at scale..
These case studies highlight how ICS Compute helps organizations modernize their data estates, accelerate insight generation, and build AI-ready platforms powered by trusted data.
Modernizing Customer Intelligence with Databricks on AWS
ICS Compute designed and implemented a unified Data & AI platform that consolidated fragmented enterprise data into a governed analytics environment. The solution enabled self-service analytics, accelerated insight generation, and established a scalable foundation for machine learning and future AI initiatives.
PT Genero Pharmaceuticals
ICS Compute manages the cloud infrastructure for Genero Pharmaceuticals, supporting their manufacturing and distribution operations. The engagement includes cloud architecture governance, managed monitoring, incident response, and quarterly cost optimization reviews delivered through regular business reviews.