Turn fragmented business data into trusted, decision-ready Power BI analytics, backed by Microsoft expertise
Power BI dashboards are only as reliable as the data and models behind them. Algoscale brings together data integration, semantic modeling, visualization, reporting, and governance to create consistent analytics your teams can trust.
Most enterprises already own Power BI. What they struggle with is trusting the numbers, dependency on whoever wrote the DAX, reports that slow down as data grows, licensing spend, adoption that slips back to Excel, and the shift to Fabric. These six problems are what Power BI consulting actually solves.
Teams build reports independently, pulling from different sources with different definitions. Within two years, you have hundreds of dashboards and three versions of “revenue.” Leadership stops trusting the numbers entirely and goes back to asking analysts to pull data manually — defeating the purpose of Power BI.
Power BI’s formula language looks like Excel but behaves completely differently. Business users can view dashboards but can’t build or modify anything meaningful. This creates a permanent dependency on whoever wrote the original DAX — and when that person leaves, reports break with no one to fix them.
Reports that loaded instantly with 100K rows take 30–40 seconds with a million rows. Users drift back to Excel because waiting feels worse than exporting. The causes stack — too many visuals, inefficient models, oversized datasets — and most teams don’t know which bottleneck to fix first.
Pro vs Premium vs PPU vs Fabric F-SKUs — most teams can’t tell what they need. “Free Desktop” feels misleading when sharing one report requires a paid license. Copilot needs F64 at $5K/month minimum. Without guidance, companies overpay or under-buy and hit walls mid-rollout.
Dashboards get built, training happens, logins are created, and within six months managers are back to pivot tables. It’s not a training problem. It is the dashboards that don’t answer the questions people actually ask, because they are built without understanding how decisions really get made.
Power BI is no longer standalone — it is now the front end of Microsoft Fabric. Premium SKUs are being retired. Q&A shuts down December 2026. Features are being deprecated. Most enterprises have no migration plan, and the longer they wait, the more expensive the transition becomes.
Algoscale is one of the few certified partners across both Microsoft’s Data & AI and Azure tracks.
So your Power BI setup is built the way Microsoft recommends it should be — the same architecture, security, and governance standards their own engineers work to.
Algoscale covers nine Power BI services: consulting and strategy, data modeling and semantic layer design, dashboard and report development, migration and modernization, Power BI Embedded for customer-facing analytics, governance and security, performance optimization, Microsoft Fabric and Copilot readiness, and ongoing support and managed services.
We look at your data, your goals, and the stack you already run, then pick the architecture and licenses that fit. You get a phased roadmap with priorities, honest dates, and a clear view of the spend — before a single dashboard gets built.
We build semantic models with shared KPI definitions, clean relationships, and DAX that holds up at scale. Every team reports from one source. Sales, Finance, and Ops stop showing different numbers for the same metric.
We build role-based, mobile-ready dashboards with drill-through, conditional formatting, scheduled refresh, and paginated reports for finance and compliance. Built around the questions people actually ask — not whatever happens to sit in the warehouse.
We rebuild Tableau, SSRS, Excel, or old BI reports in Power BI with a real model underneath. We check every metric against history, run both systems during cutover, and manage the move so your team is not stuck between two platforms.
We set up Power BI Embedded for your product or portal — multi-tenant RLS, App Owns Data vs User Owns Data, F-SKU sizing, and performance work at scale. Customers see their own data fast and securely, without slowing anyone else down.
We put in workspace rules, certified datasets, row-level security, sensitivity labels, audit logs, and ownership across the tenant. That layer keeps reports trusted and manageable as more teams, sources, and use cases show up.
We find what is actually slowing the report — DAX, the model, too many visuals, source queries, or capacity — and fix that. Most clients go from 30+ second loads to under 3 after the work.
We check your current Power BI setup against the Fabric roadmap, plan Premium to F-SKU, and get your models ready for Copilot. The move should not break what works, open governance holes, or surprise you on cost.
After go-live we watch refreshes, tune performance, review governance, handle new dashboard requests, train users, and keep licenses tight. Power BI keeps paying off without a rigid long contract.
Algoscale delivers Power BI consulting across manufacturing, insurance, and healthcare regulatory teams. Results include 82% faster dashboard refresh, 5x analyst capacity, and 70% less reporting prep time.
Unified 14+ subsidiary ERPs, CRM, and HR systems into one governed AWS data lake powering 20+ live Power BI dashboards.
Replaced a brittle SSIS reporting stack with a Databricks and Delta Lake pipeline, so Power BI dashboards refresh in minutes, not hours.
Unified 7 SaaS sources into an Azure and Fabric lakehouse with PHIPA-aligned governance, replacing manual Excel reporting with automated dashboards.
Power BI dashboards replace this mess with clarity powered by their real-time, unified, and interactive view of your data.
Every industry hits Power BI differently: scattered clinical systems in healthcare, promo and channel data in consumer goods, multiple ERPs in manufacturing, fast-moving inventory in retail, and fleet and delivery data in logistics. Pick a tab to see what we solve there and the client work behind it.
We help healthcare organizations bring fragmented data together, automate reporting, and build governed analytics platforms teams can trust.
Clinical, registrant, and finance data sitting in separate SaaS tools, with teams exporting to Excel and rebuilding the same compliance reports by hand every week.
We help consumer goods manufacturers unify plant, supply chain and commercial data, then put governed Power BI dashboards in front of plant managers, operations and leadership.
Plant, supply chain, and commercial data on different systems, refreshes failing quietly overnight, and period-end reporting still assembled by hand.
We help manufacturers bring data from different systems together, automate reporting, and give leaders a clearer view of operations and performance.
Each plant or acquired company reporting from its own ERP, so leadership gets a different number for the same metric depending on who ran the report.
We help logistics and field service companies bring operational data together for clearer reporting, faster decisions, and better fleet visibility.
Fleet, finance, HR, and safety data sitting in disconnected systems, so operational reporting lands days late and arrives too slow to change anything.
Algoscale runs Power BI engagements in five stages: discovery and data assessment, data modeling and architecture, dashboard and report development, governance and rollout, then adoption and ongoing support. Each stage below lists what gets delivered.
We assess your existing reports, datasets, and source systems to understand what you already have and where it breaks, then define a Power BI roadmap built on what is actually there.
Most Power BI problems are modeling problems. We design the semantic model, relationships, and DAX measures so reports stay fast and consistent as new sources are added.
We build the dashboards people actually open — clear, quick to load, mobile-ready, and mapped to the decisions each team makes rather than to every field in the database.
Before Power BI scales past one team, the guardrails go in: who owns which dataset, which definitions are certified, and who is allowed to see what.
Go-live is not the finish line. We monitor refreshes, tune the reports that slow down, train your team, and keep the environment healthy as your data and business change.
With 11+ years in data and analytics and 500+ BI implementations delivered, Algoscale is a certified Microsoft Solutions Partner across both the Data & AI and Azure tracks. What sets the work apart: full Microsoft stack coverage, SLA-backed support after go-live, and builds that are Fabric and Copilot ready.
Over 11 years helping enterprises turn Power BI from a reporting tool into a trusted decision platform across data, analytics, and AI.
500+ BI implementations delivered across industries — from single-department dashboards to enterprise-wide analytics rollouts.
One of the few partners certified across both Microsoft’s Data & AI and Azure tracks — your Power BI setup is built the way Microsoft recommends it should be.
We work across Power BI, Azure, Fabric, Dynamics 365, and Microsoft 365 — so you get one analytics partner who understands how data flows across your entire Microsoft ecosystem.
Ongoing refresh monitoring, performance tuning, governance reviews, and new dashboard requests after go-live — backed by SLAs, not just good intentions.
We don’t just build dashboards on yesterday’s architecture. We implement with Fabric, Direct Lake, Copilot-ready semantic models, and deployment pipelines — so your environment is built for where Microsoft is heading, not where it was.
Our Power BI engagements run on the Microsoft data stack end to end — from the semantic layer to the platforms feeding it.
I’ve been tremendously impressed by their knowledge, skills and professionalism.
Neeraj and Algoscale enabled Perceptronix and my clients have the cutting edge solutions they need to solve the very real problem that they have. We really enjoy working with their development team — our projects are always well defined and managed by project leaders.
We are impressed with their good communication skills.
Algoscale Technologies, Inc. provided a transportation company with BI, big data consulting, and SI services. The team was tasked with improving the client’s traffic movement counts at several intersections.
We are extremely happy with the work that they’ve done.
They are responsive, the quality of the engineers and data scientists are very very good. They are challenged by us and ultimately always deliver. We find that the management team are really attuned to the kind of skills that we need.
…Algoscale is unwilling to settle for anything less than full customer satisfaction.
Algoscale Technologies, Inc. created an engine to capture data and an analytics platform to synthesize the information. They consulted on which technologies to use and provided maintenance.
100% of the deadlines set by Algoscale Technologies, Inc. have been met.
Algoscale Technologies, Inc. provides ongoing analytic, development, and data science support for an analytics firm.
Power BI rarely works alone. The three services below are the ones enterprises most often need alongside it: data warehouse consulting for the layer underneath, data governance consulting once reporting scales past one team, and Microsoft Fabric consulting for where the platform is heading.
Power BI is only as good as the data underneath it. Most enterprises can’t build reliable dashboards straight from raw operational systems because they need a warehouse layer to clean, model, and centralize data first. If a client comes in for Power BI and their data is scattered across 10+ sources with no unified layer, data warehouse work happens before any dashboard gets built.
Learn MoreThe moment Power BI scales past one team, governance becomes critical and problems like who owns which dataset, which KPI definitions are certified, who can access what, how do you prevent 500 duplicate reports starts surfacing. Every enterprise Power BI engagement we’ve discussed has governance as a pain point.
Learn MoreFabric is where Power BI is headed. Premium SKUs are being phased out, Copilot needs F64 capacity, and Microsoft is pushing everyone toward Fabric as the unified platform. Any client buying Power BI consulting today will be asking about Fabric within 6-12 months. That’s the most timely cross-sell.
Learn MoreWhether you’re refining an existing environment or planning what comes next, start with a no-obligation conversation about your data and your goals.
Straight answers on when to hire a Power BI consultant, what it costs, how long implementation takes, Pro vs Premium vs PPU vs Fabric licensing, security and compliance, migrating from Tableau, and what support looks like after go-live.
Your team can absolutely learn it themselves for basic reporting but it gets harder when you are trying to build a data model that does not break when you add new sources, writing DAX measures that perform at scale and setting up low level security. That’s typically where a consultant saves more than they cost as they also help to set the foundation right.
The signals are when your team is spending more time fixing reports than building them, different departments are showing different numbers for the same metric, or you’re about to make a big move like migrating from Tableau or rolling out Power BI across the organization. That’s usually a data modeling problem, not a training problem.
You can absolutely start small. Most of our engagements begin with one department or use case - a sales dashboard, a financial report - and expand once the team sees results. What matters is getting the foundation right from day one so scaling doesn’t mean rebuilding.
A focused project — like building dashboards on top of data that’s already clean and structured - typically starts around $5,000. Costs go up when the work involves data modeling, connecting multiple sources, setting up governance, or training your team. We scope every project after a discovery call so you know exactly what you’re paying for before anything starts.
A focused set of dashboards typically takes around 4 weeks from kickoff to delivery. Larger engagements - like enterprise-wide rollouts with data modeling, governance, and multiple departments - run longer but follow a continuous delivery model.
Pro is per-user for standard reporting. Premium is capacity-based for large-scale distribution. PPU gives Premium features at a per-user price. Fabric is Microsoft’s newest offering that bundles Power BI with data engineering and AI under one license. The right choice depends on your team size and roadmap - we help you pick without overpaying.
Not always. Power BI can connect directly to databases, spreadsheets, and cloud apps. But if your data is scattered across dozens of sources or your reports need consistent, trusted numbers - a data warehouse underneath makes Power BI significantly more reliable. We assess your data readiness upfront and recommend the right foundation before building anything.
Yes. Power BI supports 100+ native connectors - SAP, Salesforce, Oracle, Dynamics, Google Analytics, REST APIs, SQL databases, Excel, SharePoint, and more. If a native connector doesn’t exist, we build custom connectors or use dataflows to bring your data in.
Yes. We audit what you already have - identify what’s working, what’s broken, and what’s duplicated. From there we fix data models, optimize slow reports, consolidate redundant dashboards, and set up governance so the same problems don’t come back.
Yes. We rebuild your Tableau reports in Power BI - not just visual replication but proper data modeling underneath so the reports actually perform better. We also handle the transition so your team isn’t stuck between two tools during the migration.
We set up role-based access at the workspace level and row-level security at the data model level - so each team, region, or role sees only their data. We also configure sensitivity labels, sharing policies, and audit logging so you have full visibility into who’s accessing what.
Power BI supports these compliance standards but it’s not compliant out of the box. It needs proper configuration - encryption, access controls, audit logging, data residency settings, and in the case of HIPAA, a Business Associate Agreement with Microsoft. We set up all of this as part of the implementation.
Yes. We offer ongoing support for pipeline monitoring, report optimization, new dashboard requests, and user training. Most clients start with active support post-launch and gradually reduce it as their internal team gets comfortable. You’re never locked into a long-term contract.
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