Dashboards that change
behavior, not meetings.
Most organizations have dashboards. Few have BI that drives decisions. We design analytics experiences executives and teams use every day — trusted semantic models, clear KPIs, and adoption built in from day one.
Three BI problems we solve
in every new engagement.
Reports get built and shared. But when leadership makes a major call, they discount the numbers or argue about definitions. The problem is almost never the visualization — it's the KPI design and the trust in the underlying model.
Finance sees one revenue figure. Sales sees another. Operations has a third. Without a governed semantic layer and certified metric definitions, BI creates confusion rather than clarity. The data is there — the architecture isn't.
A visually polished dashboard that doesn't map to real workflows, real decisions, or real users gets abandoned. Low adoption is a design failure — not a training failure. We build for the decision, not the demo.
End-to-end BI delivery:
from KPI design to adoption.
Great BI combines the right questions, the right model, and the right experience — with governance and performance in scope from the start.
Stop debating success definitions in every meeting. We establish north-star metrics, operational KPIs by function, targets, thresholds, RAG rules, and metric ownership — so every number means the same thing across every team.
- Executive scorecards and north-star metrics
- Operational KPIs by business function
- Targets, thresholds, and RAG logic
- Metric governance and ownership model
Build certified datasets and semantic layers so BI is fast, consistent, and reusable across every tool and team. The model is the product — dashboards are just the interface.
- Star schema and dimensional modeling
- Power BI model optimization and performance tuning
- Certified measures and naming standards
- Row-level security and workspace governance
Great BI tells a story: what happened, why it happened, and what to do next. We design dashboards with clear narrative flow, drill paths, context cues, and role-appropriate views — so insight leads directly to action.
- Executive, manager, and analyst views by persona
- Drill-through and guided exploration paths
- Annotations, variance drivers, and "why" indicators
- Accessibility and usability standards
Dashboards that take 45 seconds to load and refresh on weekends don't get used. We tune models, optimize queries, build refresh strategies, and implement workspace governance so your BI environment runs reliably at scale.
- Model and query performance optimization
- Incremental refresh and refresh scheduling
- Workspace governance and release management
- Audit logging and usage telemetry
Self-service analytics fails when users work off uncertified data and create conflicting reports. We build the certified dataset layer, data catalog alignment, and training programs that make self-service reliable — not dangerous.
- Certified datasets and data discovery catalog
- Design templates and report standards
- Role-based enablement sessions and playbooks
- Self-service guardrails and approval workflows
BI without an operating model becomes an unmanaged backlog of one-off requests. We define how your organization intakes, prioritizes, builds, and monitors BI — creating a sustainable system that improves over time.
- Request intake, triage, and prioritization
- Release management and QA standards
- Ownership, stewardship, and review cadence
- Adoption metrics and ROI tracking
What "good" looks like in BI
without the fluff.
Many dashboards fail because they focus on visual polish without data discipline — or data discipline without usability. We balance both.
We work across the leading
BI and analytics platforms.
We recommend the right tool based on your data platform, team capabilities, and licensing — not on what we're certified to sell.
Semantic model design, DAX measures, workspace governance, incremental refresh, row-level security, and Fabric integration. Our most commonly deployed platform for Microsoft-aligned organizations.
Workbook design, calculated fields, data source optimization, extracts vs live connections, Tableau Server/Cloud governance, and embedded analytics for customer-facing views.
LookML modeling, Explores, dashboards, and embedding. Ideal for organizations on GCP or wanting a code-first semantic layer with Git-backed version control and governed self-service.
Qlik Sense implementation, embedded analytics, and Azure Synapse Analytics integration. We also support migration from legacy BI platforms (SSRS, Crystal Reports, MicroStrategy) to modern cloud environments.
BI experiences designed by
audience and decision.
We build dashboards by persona and workflow — so the same underlying model powers different experiences without duplicating logic or creating conflicting numbers.
North-star KPIs, trends, variance to plan, and performance drivers with drill paths. Board-ready views that answer "how are we doing and why?"
Frontline views for throughput, SLA performance, backlog, and action queues. Designed for managers who need to act, not just observe.
Account-level dashboards for customer success, delivery performance, outcomes, and risk — with row-level security so each client sees only their data.
Revenue, margin, cash, spend, and scenario analysis — built for controllership clarity. Budget vs actual with forecast drivers and drill to GL.
Visibility into pipeline health, refresh success, anomalies, and trust indicators. Know when data is stale, broken, or drifting — before users find out first.
Reusable semantic models and templates so business teams can build reports safely and consistently — with the guardrails that prevent metric proliferation.
What you get beyond
a dashboard link.
We deliver BI capabilities that scale — semantic models, metric governance, design standards, and handover materials — not just a one-off report that lives on someone's laptop.
BI is only valuable
when it drives outcomes.
Engagements where Data Products moved organizations from scattered reporting to trusted, adopted analytics.
HR leaders at a healthcare organization had no unified view of workforce data. Reporting lived in disconnected spreadsheets. Decisions were made on instinct. We built a governed analytics layer on top of UKG ERP, replacing manual reporting entirely with real-time dashboards across HR leadership — and governance was designed before the first dashboard was built.
A life sciences organization needed an analytics strategy before investing further in BI tooling. We delivered the governance framework, data ownership model, and analytics roadmap that made subsequent BI investments effective rather than speculative.
Dashboards that nobody uses are a BI problem at the human layer. This engagement addressed the adoption gap — building the data literacy programs that turned passive report consumers into confident, independent analytics users.
Select what you need most.
We'll scope the right engagement.
Pick the BI service closest to your most pressing need. We scope each engagement specifically — from a 1-week discovery sprint to a full BI program.
Starting with: Executive scorecard / KPI framework
Book a sessionQuestions we answer
before the first call.
Can you redesign our dashboards without rebuilding the whole data platform?
How do you ensure KPIs are consistent across teams?
Do you support Power BI, Tableau, and Looker?
How do you improve dashboard adoption?
What is the fastest way to start?
What industries do you serve in BI and analytics?
Chicago-based · National reach · Senior-led delivery
Tell us what you need
your dashboards to do.
Share the audience, the decisions, and the data sources involved. We'll respond with a recommended approach, a suggested engagement model, and realistic next steps.
Book a BI consult