Data Strategy
Align data and AI initiatives with business priorities, governance and a roadmap your leadership can back.
Explore Data StrategyWe connect data strategy, engineering, analytics and AI activation into one practical path. Each layer supports measurable outcomes, built on Microsoft Fabric and Power BI with consultants certified on the tools they work with.
Most mid-market organisations need more than dashboards. They need trusted data, clear governance and analytics people actually use.
Our four services build on each other as layers of one system, and you can start at whichever layer your business needs first.
Align data and AI initiatives with business priorities, governance and a roadmap your leadership can back.
Explore Data StrategyUnify systems, pipelines and quality rules behind a single source of truth your teams can trust.
Explore Data EngineeringTurn semantic models and dashboards into decisions teams use every day, with self-service where it makes sense.
Explore BI & AnalyticsMove from AI-ready to AI-enabled with forecasting, automation and trusted intelligence in the flow of work.
Explore Data & AI ActivationDirection, foundation, decisions and activation stay connected, whichever layer you start with. Let’s have a chat about fit, the right mix of services and the delivery route that suits your team.
Talk through your routeWe implement on the platforms your organisation already trusts.
Before you choose a capability or delivery model, clarify whether Microsoft Fabric is the right platform bet for your organisation.
Who this is for
CFOs and sponsors weighing platform spend, and data leaders asked to build the business case. Not a technical how-to for implementers.
What you will learn
Knowing what to build is half the decision. The other half is who does the work: we can deliver outcomes for you, or enable your team to own them. Compare the models and pick the fit.
If you already know what you need and are comparing partners, start with the page built for that conversation.
Strategy, engineering, BI and activation work best when they stay connected. Our delivery principles keep those layers aligned as your analytics maturity grows.
We work with sponsors, data teams and business users, so every service layer reflects the decisions your organisation needs to improve.
We map the broader direction first, then choose the next useful block of work: a roadmap, a trusted pipeline, a semantic model or an activation pilot.
Each layer is designed to connect to the next, so foundations built for BI today also support more advanced analytics when the business is ready.
Quick answers on where to start, how we work with your team and what to expect from a Microsoft analytics partnership.
We start by understanding the decision you need to improve. If direction, ownership or ROI is unclear, Data Strategy comes first. If the foundations are already defined, we can move into Data Engineering, BI & Analytics or Data & AI Activation.
No. We can assess your current stack and recommend a practical Microsoft path. When Fabric is the right fit, we help you adopt it in steps, aligned to your data maturity and business priorities.
Yes. We work alongside your team, not around it. Some clients need an embedded partner through BIaaS, others need a defined project or training so their own people can move faster with confidence.
BIaaS and Turnkey can deliver any capability pillar. BIaaS is ongoing partnership with dedicated Microsoft BI specialists. Turnkey Analytics is a fixed-scope engagement, typically 4-6 weeks from discovery to handover. Training builds internal capability through hands-on Power BI and Microsoft Fabric programmes, focused on BI & Analytics and Data Engineering.
Most turnkey projects run 4-6 weeks from discovery to handover. The variables that stretch that window are complexity, data access and dependencies, and we surface them during scoping so the timeline you sign off is the one you get.
We work with mid-market organisations across Europe and North America. booldata is based in Porto, Portugal (UTC+1), and we work alongside your team remotely in a similar timezone, covering European and North American working hours.
We spend the session on the decision you want to improve: your current data landscape, constraints and where the quickest win sits. You leave with practical recommendations on which service layer to start with, whether or not you engage booldata afterwards.
Every great decision starts with great data. Tell us where you are today and we'll map the fastest path forward.