Business Intelligence(BI) is a system of strategies that analyse business data as a way to provide more accurate forecasting for business growth. Through BI, businesses can measure their performance, identifying areas of growth and challenges that need to be addressed to ensure ongoing success. And, while all businesses generate useful data, the adoption and implementation strategies used for BI data will determine its effectiveness. Here are some Business Intelligence adoption and implementation strategies to consider.
What are best BI adoption and implementation strategies?
Investing in BI software is massively beneficial for an organisation, but effective adoption and implementation is key. Here is a look at 7 ways you can ensure you’re getting the most out of your BI software from day one.
1. Get your team together
Generally, the decision to implement BI software will be IT-driven, but you are going to require buy-in from all departments to ensure impactful implementation beyond the initial tests. People need to feel valued, and if you’re looking for cohesion on this front, then you need to get involvement from across the board. This will be led by your selected ‘BI team’ which should include a combination of executive leadership figures, BI champions as well as the end-users for enhanced visibility and representation. This means that if challenges arise, at any level, they can be quickly identified, allowing for more streamlined BI integration.
2. Outline goals and objectives
There is a lot of business data available and it’s easy to get completely overwhelmed by the magnitude of it all. To prevent this becoming a ‘shot in the dark’ exercise, it’s important to sit down with your BI team and outline business goals. These can be formulated by deciding what your business needs, and what is unknown about your operations. Some of the questions that can be considered are:
- Which market should we be targeting?
- How can we increase our footprint in the existing market?
- Historically, which products or services perform better and why?
- Are we on track to meet our targets this year?
- What are some of the operational challenges we can identify?
3. Communicate effectively
One of the biggest failures of BI adoption is a lack of clear and effective communication, particularly inter-departmentally. It’s great having a co-ordinated BI team, but it’s vital that the team communicates regularly both within the group, and with those outside. People need their voices to be heard and it’s important that a communication system is established so that nothing falls through the cracks. By implementing a workable system, you can quickly identify and resolves common BI adoption challenges, among them:
- Animosity or apathy from departments on implementation
- Duplication of roles across the business
- Uncertainty regarding the software and how it works
- Security or data issues
4. Prioritise the quality of data
Not all data is the same, and if you’re looking for truly effective BI adoption and implementation, then your business has to consider the quality of data being used. Low-quality data results in errors, so to retain and encourage BI software use, prioritise high-quality data.
5. Choosing a customisable version
The BI software chosen must have certain features for easier implementation including:
- The ability to customise dashboards and reports;
- The ability to provide advanced data visualisations; and
- The ability to allow for responsive self-service.
Read More: Microsoft Power BI as a Business Intelligence Tool
6. Ongoing training
Obviously, your workforce will require initial training on BI, but it’s important that training continues. The reason for this is that BI platforms are constantly evolving, with new features enhancing business outcomes. Businesses are also taking on new hires, and existing employees might get into a habit of overlooking certain software tools meaning they will benefit from a refresher course.
7. Select the right BI platform
Really the most important step in successful adoption and implementation is ensuring you have the right BI solution for your business needs. Conduct thorough research and assessment before deciding on a BI solution that is flexible, user-friendly, and compatible with your particular business.
Read More: Choosing the Best Business Intelligence Tools
By partnering with an industry-leading BI supplier, you can be assured that every one of these steps will be followed, allowing for enhanced business operations.
You might also like: How to build a successful Business Intelligence strategy?
Canvas Intelligence implements Power BI for multi-entity CFOs by connecting Dynamics 365, Business Central and Sage data into a single Microsoft Fabric model, with every report designed and reviewed by Chartered Accountants and reconciled to source at 99.5%+. Instead of raising a job requisition for a BI analyst, groups subscribe to Canvas's embedded CoEaaS team, who build, run and fix the numbers so month-end closes at least two days faster.
Power BI managed services: what changes after go-live?
Most Power BI projects stop at go-live. The dashboard looks right on launch day, then an entity changes its chart of accounts, a currency rate shifts, or a new acquisition needs consolidating, and no one owns the fix. A managed service is the difference between a project that was delivered once and a reporting layer that stays correct.
- Ownership of the semantic model as entities, products and cost centres are added
- Severity-1 treatment on any variance against source, not a backlog ticket
- Chartered Accountant review of report logic, not only the visuals
- Monthly close support, built to help finance teams report at least two days faster
Business Central and Power BI: one number across entities
Groups running Dynamics 365 Business Central or Sage per entity usually end up with Excel as the real consolidation tool, each finance manager pulling exports and reconciling by hand. That’s where “a different number for the same question” comes from: the ERP is correct at entity level, but no single model sits across all of them.
Canvas connects Business Central and Sage data into Microsoft Fabric, live in production since July 2025 and operating at 4TB scale on Direct Lake, so group and entity reporting read from the same model. Where groups are moving off an older Synapse environment, Canvas has carried out that migration with zero broken downstream dashboards.
An embedded team vs a new hire: the economics
The honest alternative to a managed Power BI service is an internal job requisition: a Power BI developer, a data engineer, and a finance-literate analyst to review the output. That’s three skill sets, three salaries, and a hiring and onboarding cycle before the first report is reviewed. CoEaaS is positioned as a subscription against that requisition, not against the software licence.
| New hire | CoEaaS (Canvas) | |
|---|---|---|
| Skills on day one | One person, one skill set | Power BI, Fabric and Chartered Accountant review, from the start |
| Report accuracy | Depends on the individual | Reconciled to source at 99.5%+, Severity-1 on variance |
| Continuity risk | Leaves with the hire | Backed by a Microsoft Solutions Partner for Data & AI, Gold Partner for Data Analytics since 2018 |
| Commercial model | Fixed salary, fixed headcount | Subscription, scales with the group |
Frequently asked questions
How do you implement Power BI in a business?
Implementation starts by connecting ERP and operational sources (Dynamics 365, Business Central, Sage) into a governed data model, then building reports against defined finance and operations questions rather than one dashboard per request. Canvas Intelligence runs this as Connect, Define, Ask, Act: integrate the sources, agree the definitions, build the reports, and keep a Chartered Accountant reviewing the logic so the numbers hold up at month-end.
What is included in Power BI managed services from Canvas Intelligence?
The service covers ongoing model maintenance as entities and products change, Severity-1 treatment on any variance against source, and Chartered Accountant review of report logic, not only the visuals. It's built to remove the no more Excel accounting problem: one model, reconciled to source at 99.5%+, supporting a month-end close at least two days faster.
How does Power BI integrate with Business Central for multi-entity reporting?
Business Central data from each entity is connected into a Microsoft Fabric model, live in production since July 2025 and running at 4TB on Direct Lake, so group and entity views read from one source rather than separate exports. This is what removes the different number for the same question problem common in multi-entity groups running Business Central or Sage per site.
What happens if the reported numbers don't match the ERP?
Any variance against source is treated as Severity-1, not logged for a later sprint. Reports are designed and reviewed by Chartered Accountants, and reconciliation to source is held at 99.5%+, so a mismatch gets investigated and resolved rather than explained away.
Why choose an embedded team over hiring a Power BI analyst?
A single hire gives you one skill set and a hiring cycle before the first report is reviewed. CoEaaS is a subscription that gives multi-entity groups Power BI, Fabric and Chartered Accountant review together from day one, backed by a Microsoft Solutions Partner for Data & AI, Gold Partner for Data Analytics since 2018, and a firm founded by Chartered Accountants in 2013.
