Data warehouse consultancy for the Microsoft data estate
Dynamics-native since 2002, we run the full data-warehouse lifecycle - assess, build, govern, run - as one practice, so your numbers reconcile once and stay reconciled, rather than three systems arguing about the same figure. Platform-led across the Microsoft data estate, with Dynamics 365 as our deepest specialism. The governed data layer beneath your reporting. Dynamics-native, not Dynamics-only.
Dynamics-native since 2002·customers across 20+ countries on 4 continents·the full data-warehouse lifecycle, from assessment to managed run-state.
What does a data warehouse consultancy actually do?
A data warehouse consultancy runs the full data-warehouse lifecycle as one practice - assessing whether your data can be trusted, designing and building the governed layer that sits underneath your reporting, then governing and running it - not a one-off SQL job. The distinction that matters: a report shows figures; a governed warehouse makes sure those figures reconcile once, for everything that reads them.
Most firms that touch a data warehouse either bolt one onto an ERP implementation, or plug a data-engineering team into your systems and hope. The harder, more valuable job is building the layer that makes your numbers agree with each other, and keeps them agreeing after the person who built it has moved on.
That is what a full-lifecycle practice does. It starts by assessing where your data stops reconciling and why. It designs and builds the governed layer that sits between your source systems and everything that reads them, so every figure is defined once, computed once, and reconciled once. It governs that layer so it stays trustworthy. And it runs it, so the same clean, consistent data keeps arriving for Power BI, Excel, your apps and your AI, without depending on one fragile individual.
The alternative - pointing your reports straight at the live ERP and hoping - is how organisations end up with three versions of the truth across finance, service and multiple instances, and no one able to say which is right.
If you are not sure which part of that lifecycle you need, the routing panel below shows where each piece of the practice sits.
One practice, not a menu of one-offs
We run the data warehouse as a single connected practice: assess, build, run, with advisory and governance as the strategic layer beside it. The spine of all four is the same idea - the governed layer underneath your reporting is what decides whether the numbers reconcile.
The reason this matters is that data problems are rarely solved by one purchase. A warehouse built on the wrong model still fails to reconcile. An assessment with no one to act on it changes nothing. Treating the lifecycle as one practice is what lets you enter at the right point and move along it as trust builds, rather than buying a big-bang, two-year programme and hoping it lands.
-
Assess.
Find out where and why your data stops reconciling, before you spend anything on a fix. The low-commitment first rung, our current-state assessment.
-
Build.
Put the governed data layer in place so your numbers reconcile across entities and instances, and keep reconciling. Routes to the data warehouse build.
-
Run.
Keep clean, reconciled data arriving, without depending on one person, through a managed data service. Routes to the managed data service.
-
Advise and govern.
Beside the ladder: shape strategy, platform selection, governance and Fabric-readiness so the layer stays sound as it grows. Routes to advisory and governance.
The detail of each step lives on its own page. The routing panel below shows where to go next, depending on where you are.
A build, a managed data service or advisory - which do we need?
They sit on one ladder: assess (a current-state assessment to find what does not reconcile), build (put the governed data layer in place), then run (a managed data service to keep it reconciled and current), with advisory and governance beside the ladder for strategy, platform selection and Fabric-readiness. Most teams start with the assessment and move along as trust builds. Pick the card that matches where you are.
- Data warehouse build. You know you need a warehouse built. The governed, model-first build that makes your Dynamics numbers reconcile across entities and instances, and keep reconciling. Data warehouse build for Dynamics 365
- Managed data service. Keep your data reconciled and current. A managed service that runs your data layer so it stays trustworthy without depending on one person. Managed data service for Dynamics 365
- Advisory and governance. Strategy, platform selection, governance and Fabric-readiness. The strategic layer: whether you need a warehouse at all, build-or-buy, how to govern it, and where Fabric fits. Data warehouse advisory and governance
- Data warehouse for Business Central. If you run Business Central. A governed data layer shaped for how BC handles dimensions, multiple companies and consolidation. Data warehouse for Business Central
- Data warehouse for Finance and Operations. If you run Finance and Operations. A governed data layer shaped for F&O entities, financial dimensions and intercompany reconciliation. Data warehouse for Finance and Operations
The assess rung is served by our current-state assessment, named in the lead above and offered in the CTA below. Our deepest specialism, the Data Warehouse for Dynamics 365 programme, gets its own prominent block below - see the next section. It is deliberately not carded here, so it stands out rather than competes with the five.
Do you only work with Dynamics 365, and how is this different from Power BI?
We are platform-led across the Microsoft data estate - Dynamics 365, Fabric and OneLake - with Dynamics as our deepest specialism, not our only scope. Dynamics-native, not Dynamics-only. And the difference from Power BI is simple: the warehouse is the governed data layer; Power BI is the reporting that sits on top of it. Most clients want both, run together.
The principle is straightforward: breadth at the platform level, depth where it counts. We run the data warehouse as a governed practice across the wider Microsoft data estate, and Dynamics 365 is the specialism that practice is built around.
The warehouse and the reporting are two layers, not one. The data warehouse is the governed layer that makes your figures reconcile; Power BI is the reporting that sits on top of the warehouse and turns those figures into decisions. If your question is really about the reporting, that is the sibling pillar to read; most clients build both, run together.
Build a bespoke warehouse, or start from a pre-built one. You can build a bespoke governed warehouse tailored to how your organisation posts and consolidates, or start from Reveal - our pre-built, pre-reconciled data-warehouse connector for D365 Finance, Supply Chain and Business Central - for faster time-to-value and lower delivery risk. Advisory helps you choose. Fabric is the direction of travel, and where governance and Fabric-readiness are the question, that is what our advisory and governance work is for. To see where the data warehouse sits in the wider practice, talk to us.
Can you build a data warehouse for Microsoft Dynamics?
Yes - the data warehouse for Microsoft Dynamics is our deepest specialism, and has been since 2002. Most competitors are either ERP implementers who bolt a warehouse on, or data-engineering shops that have never had to make intercompany balance; PrecisionPoint sits in the gap, and the Dynamics 365 programme is where that depth concentrates.
If your operational data lives in Dynamics 365 - Finance and Operations, Supply Chain, Business Central, or legacy AX and NAV - the data-warehouse programme built specifically for it is where the reconciliation, the multi-instance consolidation and the migration story live.
See the programme – Data warehouse for Dynamics 365What actually qualifies you to do this?
We are an independent, Dynamics-native Microsoft data specialist, in continuous practice since 2002, with customers across 20+ countries on 4 continents and the full data-warehouse lifecycle behind us. What qualifies us for this work is not a badge - it is over two decades of understanding the Dynamics data model well enough to make the numbers reconcile.
The credibility question on a data warehouse is really “can they make our numbers agree, and keep them agreeing?” The honest answer to that is not a certification. It is the one thing most data-engineering shops and most ERP implementers get wrong: understanding how Dynamics actually posts and consolidates, well enough that a board-grade figure holds across entities and instances. That is the ground we have worked since 2002 - and it is why we can offer you build-or-buy, a bespoke governed warehouse or our pre-built Reveal connector, rather than one fixed template.
- Dynamics-native since 2002 - built around Dynamics data from day one, over two decades of D365, AX and NAV experience.
- Customers across 20+ countries on 4 continents - the practice travels.
- The full data-warehouse lifecycle - assess, build, govern, run, delivered as one practice rather than a single-point service.
- Build or buy - a bespoke governed warehouse, or our pre-built, pre-reconciled Reveal connector; consultancy accountability either way.
- In the gap most rivals miss - not an ERP implementer bolting a warehouse on, not a data-engineering shop that has never had to make intercompany balance.
- Long client relationships - measured in years, not projects.
For the depth behind this, see the Data warehouse for Dynamics 365 programme. For validation and proof, talk to us.
Data warehouse consultancy: common questions
What does a data warehouse consultancy actually do?
A data warehouse consultancy runs the full data-warehouse lifecycle as one practice: assessing whether your data can be trusted, designing and building the governed layer beneath your reporting, then governing and running it - not a one-off SQL job. A report shows figures; a governed warehouse makes sure those figures reconcile once, for everything that reads them.
What is a Dynamics 365 data warehouse, and do we actually need one?
A Dynamics 365 data warehouse is a governed layer that stores your Finance, Supply Chain and Business Central data in a clean, reconciled, consistent form, so every report and app draws the same trusted figures. You need one if your reporting is untrusted, month-end runs on Excel, or you have multiple instances to consolidate. The Dynamics 365 programme is where the depth sits.
What's the difference between a data warehouse and Power BI - do we need both?
They are two layers, not one. The data warehouse is the governed data layer that makes your figures reconcile; Power BI is the reporting that sits on top of the warehouse and turns those figures into decisions. Most clients want both, run together - a dashboard is only as trustworthy as the layer underneath it.
Should we build a data warehouse or buy a pre-built one?
Either, and often a blend. You can build a bespoke governed warehouse tailored to how you post and consolidate, or start from Reveal, our pre-built, pre-reconciled connector for D365 Finance, Supply Chain and Business Central, for faster time-to-value and lower delivery risk. Our advisory helps you choose the right route.
What is the difference between a build, a managed data service, and advisory?
They sit on one ladder. A current-state assessment finds what does not reconcile; a build puts the governed layer in place; a managed data service runs it so it stays reconciled. Advisory and governance sits beside them, shaping strategy, platform selection and Fabric-readiness. Most teams start with the assessment.
Do you only work with Dynamics 365, or any data warehouse?
We are platform-led across the Microsoft data estate - Dynamics 365, Fabric and OneLake - with Dynamics as our deepest specialism, not our only scope. Dynamics-native, not Dynamics-only. A governed data-warehouse practice applies wherever your data lives; Dynamics is simply where our depth runs deepest, since 2002.
Are you a Microsoft partner, and what qualifies PrecisionPoint to do this?
We are an independent Microsoft data specialist, Dynamics-native and in continuous practice since 2002, with customers across 20+ countries on 4 continents. What qualifies us for data-warehouse work is not a badge but over two decades of understanding the Dynamics data model well enough to make the numbers reconcile, plus a productised warehouse (Reveal) as the build-or-buy option.
Talk to us about your data
An engagement starts with a conversation or a low-commitment current-state assessment, not a big-bang commitment - so you can find out exactly where your data stands before deciding anything. Tell us where your Dynamics data is today and we will point you to the right next step.
Whether you already know you need a warehouse built, suspect your numbers can't be trusted, or are just working out which kind of firm to talk to, the first step is the same: a conversation. If you want to start by finding out where your data actually stands, a fixed-scope current-state assessment names the problem before you spend on the fix.
Tell us where your Dynamics data stands today and we will come back to you with the right next step.