Business Intelligence (BI) Dashboards Power BI, QuickSight, and Tableau—governed KPIs, certified datasets, and a semantic/metric layer with freshness SLAs and adoption telemetry. Ship decision-grade dashboards your team can trust. We design and operationalize Power BI, QuickSight, and Tableau with governed KPIs, certified datasets, and a clear semantic/metric layer—so leaders get the signal (not noise) and operations see real-time health with freshness SLAs and adoption telemetry.
Key Benefits Decision-Grade KPIs: Governed formulas & owners
Trusted Data: Certified datasets w/ lineage & SLAs
Secure Access: RLS, masking, approvals
Fast & Cost-Aware: Incremental refresh, caching, workload rules
Adoption & ROI: Usage telemetry and enablement playbooks
What We Deliver Requirements to KPIs: problem statements → KPI list → definitions, owners, and targets. Data Model for BI: conformed dimensions, star schemas, and metric/semantic layer. Dashboard Design System: layouts, filters, drill paths, accessibility checks. Platform Build: workspaces, datasets, RLS policies, refresh/ingestion. Governance & Catalog: certification workflow, versioning, change control. Adoption & Operations: usage telemetry, SLA dashboards, enablement playbooks. Dashboard Types & Use Cases Executive KPIs: revenue, cost, service levels, reliability, risk. Operational Health: queues, backlog aging, SLA hit rate, MTTR, throughput. Finance & RevOps: pipeline, cash collections, variance, cohort trends. Product & Support: adoption, engagement, incidents, CSAT/NPS. Modeling & Metric Governance Semantic/Metric Layer: single formulas for KPIs; PR-based change control. Certified Datasets: documented lineage, owners, refresh SLAs. Drill-safe Design: filters & hierarchies that preserve metric integrity. Security, Privacy & Compliance Access: RLS/column masking, workspace roles, tenant policies. PII & Sensitive Data: masking/tokenization in non-prod; evidence exports. Audit & Review: certification checklists, change logs, approval trails. Performance & Cost Optimization Refresh Strategy: incremental refresh, partitions, direct query vs import. Query Tuning: aggregations, materialized views, caching governance. Cost Controls: workload rules, schedule windows, dataset size guardrails. Observability & Adoption Freshness & Reliability: data age, refresh success, failure alerts. Usage Telemetry: active users, time on page, certified vs ad-hoc views. Quality Signals: broken tiles, filter misuse, slow visuals. Delivery Approach Assess stakeholders, decisions, and KPIs; baseline current reports. Design data model, metric layer, and dashboard wireframes (a11y included). Build datasets, RLS, refresh, and dashboards with testable KPIs. Validate with UAT, certification, and performance targets. Operate with usage telemetry, SLA monitors, and release/change control. FAQs Q: Power BI, QuickSight, or Tableau—how do we choose?
Q: How do we keep KPIs consistent across tools?
Q: Will this meet accessibility requirements?
Q: Can we monitor usage and ROI?
Ship Dashboards Your Leaders Trust. 
