Power BI Consulting Services for SMEs: What You Should Expect from a Partner

Consulting services for Power BI support the ability of businesses to distil their data into integrated dashboards, among other tools, to streamline decisions based on KPIs. Power BI partners typically employ more than just data visualisation skills. They provide services such as strategy, data integrations, modelling, security, licensing, deployment, and training and support for the data and analytics governance and optimisation of Power BI. 

 Power BI is part of Microsoft Fabric and is a business analytics tool. It includes data integration, report interactivity, and insight sharing controls. 

An ideal Power BI consulting partner takes the time to understand your unique business objectives before report generation. A good partner lays out the plan to understand business needs, create data models, schedule data refreshes, and define users and dashboards. This partner also maintains documentation, provides training, sets adoption targets, and recommends an appropriate licensing and support model. This model should fit the current size of the company with room for expansion. 

• 1. Focus on business objectives, not visuals. 

• 2. Provide clear expectations for scope and deliverables. 

• 3. Incorporate data and security within models. 

• 4. Demand testing and training. 

• 5. Select a partner with more than PBIX deliverables. 

A good partner creates a decision system, not a dashboard. For SMEs, the engagement focuses on incorporating risk management and business governance along with resource costs. 

What Are Power BI Consulting Services? 

Power BI consulting services develop an organisation’s Power BI environment in the areas of planning, building, deploying, securing, and optimising Power BI. 

Definition: For organisations aiming to transform raw data into semantic models and reports, dashboards, and frameworks for consistent decision-making, a Power BI consulting partner is essential. 

Power BI vendors, in general, provide the following services: 

• 1. Designing BI strategies 

• 2. Data preparation using Power Query 

• 3. Data modeling and DAX 

• 4. Report/dashboard creation 

• 5. Workspace, access, and governance design 

• 6. Gateway and refresh setup 

• 7. Tuning Power BI performance 

• 8. Power BI documentation and user enablement 

Microsoft endorses 'star schema' modelling for Power BI semantic models, as it, among other benefits, provides dimension tables that assist data filtering and grouping, and summarisation via fact tables. 

What Should an SME Expect from a Power BI Partner? 

The partner should clearly describe the licensing and make recommendations based on the number of creators, users, and the need to share, as well as the data capacity and features. 

Access to features is dependent on free, Pro, Premium Per User, and capacity-based offerings. Microsoft mentions that there are differences in pricing based on where and how the licenses are acquired, so the local pricing should be checked. 

7. User-Focused Dashboard Design 

The partner should focus on the user and build dashboards based on user activity rather than overly cluttered dashboards. 

A good dashboard typically contains a summary, key metrics, comparisons, appropriate drill-downs with the option to filter the data, and highlights of outlier data. 

8. Documentation and Training 

Consider the partner your ally and expect a decrease in your need to rely on outside help. 

Look for documentation such as the source documents, definitions of the measures, notes on how the structures were built, instructions on how to gain access and refresh, admin instructions, and training at the level of the user’s role. Microsoft has an adoption guide that connects successful analytics to data culture and governance, with an emphasis on user engagement. 

Step-by-Step Delivery Process 

Power BI implementations should be done in a structured format. The steps in this format are as follows: 

• 1. Discover: Here we confirm the goals, users, KPIs, sources, and constraints. 

• 2. Audit: Evaluate the quality of the data and the accessibility, auditing the licenses and security of the data. 

• 3. Design: Final approval of the data architecture and wireframes should come here, along with finalised KPIs and confirmation of no shifts in the scope of work. 

• 4. Build: This step will focus on the transformations and constructions of the data, alongside the modelling, DAX, and report formalisation. 

• 5. Validate: Totals should be reconciled, and user testing should define the ease of use, alongside assessing the performance. 

• 6. Secure: Set permissions along with row-level security. 

• 7. Deploy: A repeatable release process should be used here, and Microsoft endorses the use of deployment pipelines to release the content in a reusable manner. 

• 8. Enable: This step is focused on the training of end-users, alongside the administrators. 

• 9. Improve: In this final step, adoption, feedback, and failures should be assessed, along with the overall impact on the business. 

Partner Comparison Table 

Benefits for SMEs 

Leverage Power BI consulting services to eliminate spreadsheet work and enjoy consistent KPIs, faster reporting, and better visibility, foundational self-service analytics, and more. 

You will enjoy the following benefits: 

• 1. Consistent metrics you can depend on 

• 2. Accelerated reporting to once a week or once a month 

• 3. Sales, cost, or inventory problems are detected even sooner 

• 4. Access is more controlled 

• 5. Models are reusable in reports 

• 6. Management is more accountable 

Limitations to Plan For 

Power BI doesn’t proactively remedy low-quality data, ambiguous processes or a lack of ownership. 

Unresolved issues at the source system, costly licenses, insufficient support, refresh delays, performance issues from weak models, and low adoption due to insufficient training are some of the key limitations of Power BI. Additionally, Row-Level Security (RLS) implements required query filters and can negatively impact performance with a poor model design. 

Common Mistakes 

The most frequent mistake is beginning development before finalising business definitions. 

Avoid: 

• 1. Reproducing every Excel report 

• 2. Creating one large flat table 

• 3. Copying models for the same KPIs 

• 4. Overly broad access 

• 5. Bypassing reconciliation and user acceptance testing 

• 6. Accepting undocumented DAX and transformations 

• 7. Considering the launch day the conclusion of adoption 

Best Practices and Expert Tips 

An SME implementation is best if it is focused, governed, and maintainable. 

• 1. Start with one decision process that brings high value. 

• 2. Give approval for wireframes before moving ahead with the complete design. 

• 3. Build semantic models that can be reused. 

• 4. An SME implementation using a star schema is best, unless an alternative design can be justified. 

• 5. Keep the development, testing, and live environments separate. 

• 6. An internal product owner should be assigned. 

• 7. Usage and business impact should be monitored, not the number of reports. 

• 8. Assess the performance and check quarterly if the licenses and resources are required. 

Real-World Examples 

1. Retail: Integrate your sales, inventory, and procurement data and identify risk of stock outages and low-demand inventory. 

2. Professional services: Measure utilisation and margins by project and manage billing and overdue billing by project. 

3. Manufacturing: Assess production, rework, and lost time and measure fulfilment. 

Distribution: Examine sales by region, product, client, sales margin, and salesperson. 

Illustrative SME Case Study 

One distributor with 120 employees used ERP exports and employee-specific spreadsheets for sales data. Management only got their margin reports a few days after the month had ended. 

One of their Power BI consultants created an automated sales model and territory security all on top of previously standardised product and customer data. The initial output focused on gross margin, receivables, and the movement of inventory, as well as sales revenue. 

Conclusion 

SMEs will reap the most benefits from Power BI consulting services when providers integrate knowledge of business processes, data modelling, security, and user adoption. Choose a provider that clarifies the trade-offs, documents the process, trains the resources, and ties each dashboard to a decision that will be made. 

Are you prepared to have dark-cornered spreadsheets and reporting replaced with reliable reporting? Engage a Power BI consulting partner who will identify the current state of your data, identify the dashboard with the highest return, and create an actionable governance growth plan for funnelling resources to the dashboard.