Data & Analytics
Power BI Implementation & Integration.
Best Practicify designs and deploys Power BI reporting infrastructure for mid-market businesses — building the star schema data models, DAX measures, and row-level security architecture that turn Sage Intacct, NetSuite, and Snowflake data into leadership-ready dashboards rather than accounting system exports reassembled in Excel every week.
What We Deliver
Best Practicify's Power BI Capabilities.
Data model architecture — star schema design with fact and dimension tables, calculated columns, and DAX measures built for reporting performance rather than adapted from source system table structures
Power Query (M) transformation layer — data cleansing, type enforcement, query folding optimization, and reusable query functions that keep transformation logic in the data model rather than individual reports
ERP-to-Power BI connection — Sage Intacct, NetSuite, QuickBooks Online, and Dynamics 365 connected with scheduled refresh and incremental load for large historical datasets
Snowflake and cloud data source integration — DirectQuery and import mode configuration optimized for warehouse query performance and Power BI refresh cost
Row-level security design — DAX-based RLS roles that limit each user to the entities, departments, or regions their role permits, with security model testing before production deployment
Power BI Service configuration — workspace organization, report sharing, dataset refresh schedules, usage metrics, and gateway setup for on-premises data sources
Who This Is For
Is Power BI the Right Platform for Your Business?
Finance and operations teams currently assembling management reports from ERP exports, Excel pivot tables, and manual data joins that consume more time to produce than to use
Multi-entity businesses — real estate groups, restaurant portfolios, holding companies — that need entity-level and consolidated reporting from Sage Intacct or NetSuite visible in real time
Organizations in the Microsoft 365 ecosystem where Power BI's native integration with Azure, Dynamics 365, and Business Central makes it the natural reporting layer without additional integration overhead
Executive teams that receive weekly PDF reports and want self-service access to current data with the ability to filter by entity, date range, or business unit without requesting a new report
Submit a Project Inquiry
Start Your Power BI Engagement.
Tell us about your project — current system, what needs to change, and your timeline. We respond within 1 business day with a direct answer, not a boilerplate proposal.
About Power BI
What You Should Know About Power BI.
Power BI is Microsoft's business intelligence platform and the most widely deployed BI tool in mid-market organizations — with over 30 million monthly active users and native integration across the entire Microsoft ecosystem including Azure, Dynamics 365, Business Central, and Microsoft 365. For organizations already standardized on Microsoft, Power BI is the default analytics layer because data moves from the source system to the dashboard without the authentication overhead and connector cost required when mixing BI tools from different vendors.
The implementation challenge is not the Power BI tooling — it is the data model. Most Power BI implementations are built directly on source system tables: flat files from ERP exports, raw API tables from CRM connectors, or transaction-level data from accounting platforms. Reports built on these structures are slow because Power BI calculates against millions of rows where a well-designed star schema would calculate against thousands. They are inconsistent because each report defines revenue and cost metrics differently using ad hoc DAX rather than shared measures defined once in the model. And they break when source system schemas change because there is no transformation layer absorbing the change before it reaches the report.
Best Practicify builds Power BI with the data model as the primary design deliverable. The star schema is designed before the first report is opened — fact tables for transactions and dimensions for entities, dates, departments, and projects — with DAX measures that define every business metric in one place so it calculates consistently across every dashboard, report, and exported Excel file that references it. Row-level security is designed into the model rather than applied as a filter, so every user sees exactly the data their role permits without any report reconfiguration.
Our referenced production engagement — an 80-entity holding company with Sage Intacct and Power BI reporting — delivered consolidated financial statements, entity-level P&L, and variance analysis in real time rather than assembled weekly. Management reporting that previously required a day of manual data assembly by the finance team was available from the dashboard the morning after month-end close. That is the standard Best Practicify designs to in every Power BI engagement.
Visit powerbi.microsoft.comRelated Services
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Industries
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Ready to Get Power BI Working the Way It Should?
Schedule a 45-minute advisory session — we review your current setup, identify gaps, and give you a clear picture of what implementation or optimization would require and return.