Power BI consulting services built on one shared model Power BI reports whose numbers agree, load fast, and show each manager their part

Power BI makes it easy for anyone to build a report, which is why many companies end up with hundreds that disagree. We start by agreeing which reports matter, who owns each measure, and which old reports to retire.

We connect Power BI to your ERP, CRM, databases, SharePoint lists and spreadsheets, and join them in one semantic model. For larger or faster data, we build the model in Microsoft Fabric or Azure, with pipelines that refresh on a timetable.

Every report reads from that shared model, so revenue is revenue on every page.

Each dashboard serves one team and the decisions it makes every week. We keep the pages short, put the key number first, and let people drill down from a total to the orders behind it.

• Custom visuals where the standard ones fall short
• Paginated reports for statements and invoices
• Reports embedded in Teams, SharePoint or your own app

Power BI can forecast, find outliers and answer questions in plain language with Copilot. These work well once the model is clean and the measures are defined, so we add them after the basics are trusted.

Row-level security shows each person only their rows, such as their region or their accounts. We set it up with role-based access, sensitivity labels and separate workspaces for development and production.

Certified datasets tell report builders which models to trust, and usage reports show which dashboards people actually open.

Slow reports usually come from the model, not the visuals. We fix the relationships, reduce the columns, rewrite heavy DAX measures, and use incremental refresh, so a report that took 30 seconds opens in a few.

After launch, we watch refreshes and capacity, fix failures, and add reports as teams ask for them.

It connects your data sources, builds the data model, designs dashboards and reports, and sets up security, governance and training. The goal is reports people use and trust, not just a working install.

Requirements, a data assessment, data integration and modeling, dashboard and report development, security, performance tuning, training and documentation. Some projects also move reports off an older tool.

A few reports on clean data can take weeks. An enterprise rollout across many sources can take months, and preparing the data usually takes the longest.

Connect your data in Power BI Desktop, build the model, add visuals to a report, and publish it to the Power BI service. Then pin the key visuals to a dashboard, set a refresh schedule, and share it with your team.

With role-based access to workspaces, row-level security so each person sees only their data, sensitivity labels, and encryption in transit and at rest. Activity logs show who opened what.

Start with the model: remove unused columns, fix relationships, and simplify heavy DAX measures. Then use aggregations and incremental refresh for large tables, and limit the visuals on each page.