Cloud & Data
Business Intelligence
Semantic layers, executive dashboards, and self-service analytics built on governed metrics — so every meeting starts from the same numbers, and the numbers are right.
Overview
Why it matters
Most enterprises don't lack dashboards — they lack believed dashboards. The estate is typically hundreds of reports across two or three BI tools, built ad hoc over years, with overlapping-but-disagreeing metrics and no owner for any of them. The predictable result: executives get PDF exports reconciled by hand, analysts spend their week servicing report requests, and decisions that should take a meeting take a month. The problem is rarely the visualization tool; it is the absence of a governed metrics layer beneath it.
Our BI practice builds from that layer up. Metrics — revenue, margin, churn, utilization — are defined once, in code, in a semantic layer that every dashboard and tool consumes, so 'which number is right?' stops being a recurring meeting. On top of it we design analytics that people actually use: executive dashboards structured around decisions rather than data availability, operational reporting embedded in the tools where work happens, and self-service models that let analysts explore governed data without creating four hundred new versions of the truth.
We are pragmatic about platforms — Power BI, Tableau, and Looker each win in different estates, and we implement all three — and rigorous about adoption: a dashboard nobody opens is technical debt with a license fee. Usage analytics, stakeholder-specific design, and training are part of every engagement, not an afterthought.
Business challenges
The problems this practice exists to solve
Nobody trusts the numbers
Three dashboards, three revenue figures, and an executive meeting that opens with reconciliation instead of decisions. Once trust is lost, every report gets shadow-checked in Excel.
Analysts as a report factory
Skilled analysts spending 70% of their time building one-off extracts and maintaining brittle reports — a queue that grows faster than the team, while real analysis never happens.
Dashboards that answer no decision
Walls of charts built from whatever data was easy, unopened after the first month. Meanwhile the questions leaders actually ask still get answered by email and spreadsheet.
Insight that arrives too late
Monthly reporting cycles for weekly decisions: stockouts, margin erosion, and pipeline slips discovered after the window to act has closed.
Our solution
How we engineer it
We start with a decision inventory, not a report inventory: which recurring decisions does each audience make, on what cadence, requiring which numbers at which grain? That inventory becomes the design specification — it tells us which of your existing reports matter, which should be retired (usually most), and what the target estate must answer. Rationalization alone often cuts the maintained surface by 60–80%.
Then the foundation: a semantic layer (dbt metrics, a universal layer like Cube, or well-governed Power BI/Looker models) where each metric has one tested, documented, version-controlled definition with a named owner. Dashboards become thin, consistent views over governed metrics rather than hand-crafted SQL islands — which is also what makes self-service safe: analysts explore certified datasets with lineage back to source, instead of exporting to Excel and improvising.
Design and adoption finish the job. Executive views lead with the decision and the exception, not the chart count; operational reporting is embedded where the work happens (CRM, ERP, portals) rather than in yet another tab; and alerting pushes threshold breaches to owners instead of waiting to be noticed. We instrument usage from day one, review it monthly, and iterate — treating the BI estate as a product with users, not a project with a delivery date.
Capabilities
What business intelligence covers
Semantic layer & metrics governance
Single-definition metrics in dbt, Cube, or governed tool models — tested, documented, owned, and consumed identically by every dashboard and API.
Executive & board reporting
Decision-first dashboard suites for leadership: KPIs with targets and drivers, exception surfacing, and drill paths that answer the follow-up question before it's asked.
Self-service analytics enablement
Certified datasets, governed exploration environments, training, and a curation workflow — analyst freedom without the four-hundred-dashboards problem.
Embedded & operational analytics
Analytics inside your products and workflow tools — customer-facing dashboards, in-CRM insights, and operational reporting with row-level security throughout.
Real-time & alerting layers
Streaming-fed operational views and threshold alerting for the decisions where yesterday's data is too late — inventory, risk, pipeline, service health.
BI estate rationalization & migration
Audit and consolidation of sprawling report estates, tool migrations (e.g., legacy BusinessObjects/Cognos to Power BI), and usage-driven retirement programs.
Technology stack
Tools we deploy to production every week
Pragmatic about tools, opinionated about architecture — the platforms below are the ones this practice ships with, chosen per engagement on evidence.
BI Platforms
- Power BI
- Tableau
- Looker
- Apache Superset
- Metabase
Semantic & Modeling
- dbt
- Cube
- LookML
- Power BI semantic models (DAX)
Data Foundation
- Snowflake
- BigQuery
- Databricks SQL
- PostgreSQL
Embedded & Delivery
- Power BI Embedded
- Tableau Embedded
- Looker Embed SDK
- REST / GraphQL metric APIs
Implementation process
Five stages. No surprises.
A delivery model refined over 250+ engagements — sequenced so leadership gets visibility and your teams get momentum.
Decision & estate audit
Decision inventory per audience, usage analysis of the existing report estate, and a metrics-conflict census — producing the rationalization and build plan.
Metrics foundation
The semantic layer: priority metrics defined once with tests, documentation, lineage, and owners — reviewed and signed off by finance and business stakeholders.
Flagship dashboards
Executive and top operational views built on governed metrics, iterated with real users in weekly design reviews until they replace the spreadsheets.
Self-service rollout
Certified datasets, exploration training, curation workflow, and governance guardrails — expanding access without expanding chaos.
Adoption & iteration
Usage instrumentation, monthly reviews, retirement of what isn't used, and a product-style backlog — the estate stays trusted because it stays tended.
Use cases
Where enterprises apply it
Executive performance suite
One governed view of revenue, margin, and operations for the leadership team — replacing the monthly PDF-and-reconciliation ritual.
Finance & FP&A analytics
Close reporting, variance analysis, and driver-based views on audited, lineage-complete numbers finance can sign its name to.
Sales & pipeline intelligence
Pipeline health, conversion, and territory views embedded in the CRM — with definitions sales and finance finally agree on.
Operational command centers
Real-time supply chain, service, or production dashboards with alerting — built for the operators who act on them, not for the steering deck.
Customer-facing embedded analytics
White-labeled dashboards inside your product with row-level security — analytics as a feature your customers pay for.
BI consolidation program
Three tools and 900 reports rationalized onto one governed platform — lower license cost, and one version of the truth.
Outcomes
Results clients report to their boards
1
governed definition per metric across the enterprise — reconciliation meetings retired
76%
of legacy reports retired in a consolidation program, with zero lost decisions
64%
weekly active usage of the flagship executive suite after six months — versus 9% before
3 days
faster monthly close reporting after semantic-layer automation
FAQs
Questions leaders ask us
Direct answers on business intelligence — the same ones we give in the first consultation.
Related services
Practices that pair with this one
Ready to put business intelligence to work?
In a 45-minute consultation, our architects map your highest-ROI opportunity, outline a delivery plan, and give you a realistic budget range — no obligation.