What Every Other Vendor Says:
The Protocloud Difference:
Basic table joins 
Enterprise-grade models 
Starter dashboards (1-3 reports) start from $5,000. A full enterprise data model with multiple departments and AI features ranges from $20,000–$60,000. Enterprise embedded analytics starts at $60,000+. We provide a fixed quote after our free discovery session.
Simple dashboards: 3–4 weeks. Mid-level BI platforms: 6–8 weeks. Enterprise-wide implementations: 10–16 weeks. We commit to a timeline in writing before we start.
For teams under 500 users without embedding needs, Pro licenses typically work well. We’ll recommend Premium only if you genuinely need it for large-scale deployment, embedded analytics, or large dataset support. We don’t upsell licensing.
Yes. Power BI has 200+ native connectors including SAP BW, SAP HANA, Oracle, Salesforce, Dynamics 365, Google Analytics, and more. We’ll map all your data sources in the discovery phase and confirm connectivity before scoping the project.
Absolutely. BI optimization (data model restructure, DAX optimization, performance tuning, security redesign) is one of our most common engagements. We start with an audit of your existing environment and provide specific recommendations.
Yes. We document everything and include training sessions as part of every project. Your team will understand how to add new reports, update data models, and manage security. We also offer optional ongoing managed service if you’d prefer we maintain it.
Dashboard adoption failure is almost always a data model or design problem – not a Power BI problem. We start by understanding how your users actually work, then build dashboards they’ll genuinely open daily. Our adoption rate post-delivery is 87%+.
🛡 Guarantee: If your team isn’t actively using the dashboards within 60 days, we redesign them free of charge.
AI features in Power BI range from genuinely useful (forecasting, anomaly detection) to nice-to-have (Smart Narratives). We only recommend AI features where we can show you a specific ROI. We’ll be honest when standard BI gets the job done.
Bad data quality is the most common challenge we encounter. We include a data quality assessment in every project and build data cleaning and validation into our ETL pipelines before data hits your dashboards.
🛡 Guarantee: No data is surfaced in your dashboards that hasn’t passed our validation rules.
We provide a fixed-price quote before any work begins. We scope very carefully so we can commit to a number. If we miss scope estimates due to our own miscalculation, we cover the gap – not you.
We document everything: data model, DAX measures, refresh schedules, RLS setup. Your internal team can maintain it. We also offer optional managed service plans if you’d rather we handle it.
