Business Intelligence Consulting Firm with Measurable Outcomes

You’re not buying “BI.” You’re buying faster decisions, fewer reporting hours, and numbers your leaders stop arguing about. In the first 90 days, we deliver a decision-ready BI foundation with artifacts you can inspect and reuse—not vague progress updates.

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What You Get in 90 Days?

By day 30, you have:

• A current-state findings brief tied to business decisions (not tool gaps)
• A prioritized KPI list with definitions, owners, and “source of truth” mapping
• A phased roadmap with initiatives prioritized by business impact and technical feasibility

By day 60, you have:

• A production-ready semantic layer specification (metrics, dimensions, grain, joins)
• A data quality scorecard with pass/fail checks for critical tables
• A dashboard inventory with keep/kill/rebuild decisions and rationale

By day 90, you have:

• A first release of executive dashboards with QA criteria and sign-off workflow
• An operating cadence: weekly data review, monthly KPI governance, release notes
• A backlog ready for scale: new domains, new metrics, new consumers

Request a BI Decision Pack (30 minutes)

Success Criteria and Ownership (before we build)

If your BI initiative fails, it’s rarely because the charts were ugly. It fails because success was never defined, ownership was fuzzy, and “ready” was assumed. We remove that risk up front—before implementation starts.

Success criteria you can measure

Time-to-report (days → hours), reporting effort (hours/week), refresh reliability (%), adoption by role (weekly active users), and KPI dispute rate (how often teams challenge numbers)

Ownership you can operate

• A RACI for metrics, data pipelines, access approvals, and dashboard changes
• A decision log: what changes, who approves, and how it’s communicated

Readiness that’s explicit

• Prerequisites for each phase (data availability, security approvals, business owners)
• “If-not-ready” paths (temporary metric definitions, staged source onboarding, limited-scope release)

Quality gates (non-negotiable):

• KPI definitions approved by owners
• Data checks passing for critical tables
• Dashboard QA checklist completed before executive rollout

You leave with clarity: what success is, who owns it, and what must be true to ship.

Request a BI Decision Pack (30 minutes)

Choose your Starting Point

Most firms talk industries. Your reality is simpler: where you’re starting from. Pick the scenario that matches what’s happening in your organization right now—we’ll route you to the right plan, not the biggest bill.

Spreadsheet sprawl

Reporting lives in Excel/Sheets, refreshes are manual, and definitions vary by team
What we do: KPI standardization, source mapping, first automation wins, executive pack v1

Dashboards no one trusts

You have Power BI/Tableau/Looker, but leaders still ask for “the real number”
What we do: semantic layer spec, data quality scorecard, KPI governance, dashboard QA + relaunch

Lakehouse/Warehouse exists, BI still stalls

Data is centralized, but metrics are inconsistent and delivery is slow
What we do: metric model + governance operating model, release process, prioritized executive views

Growth broke your reporting

New products/regions/acquisitions created conflicting KPIs and duplicated pipelines
What we do: KPI rationalization, ownership model, phased consolidation plan, change control

Security and compliance friction

Access reviews, PII rules, and audit needs slow delivery
What we do: role-based access design, approval workflow, audit-ready documentation, least-privilege model

Whichever starting point you choose, the goal is the same: predictable delivery, measurable outcomes.

Request a BI Decision Pack (30 minutes)

Full Range of BI Services

You don’t need a vendor that “can do everything.” You need a partner that can do the right things in the right order—without creating a dependency you can’t unwind.

Strategy and architecture

• Decision-to-data mapping (which decisions require which metrics, at what cadence)
• Target architecture with integration patterns, security model, and operating cadence
• Tooling recommendations tied to your constraints (skills, budget, governance, latency)

Data foundation

• Source onboarding plan with sequencing and acceptance criteria
• Dimensional modeling and metric modeling aligned to business grain
• ETL/ELT remediation plans (including rewrite guidance when pipelines are the bottleneck)

Analytics delivery

• Executive dashboard release with QA checklist and sign-off workflow
• Self-service enablement: dataset contracts, certified metrics, and reusable views
• Alerting and exception reporting for operational decisions

Governance and adoption

• KPI dictionary + stewardship model + monthly governance cadence
• Training by role (executive consumers, analysts, data owners)
• Release notes and change control so metrics don’t drift

Support and optimization

• Backlog triage, performance tuning, and incremental metric expansion
• Monitoring plan for refresh reliability and data quality drift
• Quarterly roadmap refresh based on business priorities

You get a system your team can run—not a black box.

Request a BI Decision Pack (30 minutes)

Proof: Results, Not Claims

You should not have to “trust the process.” You should be able to see the work, verify it, and confirm impact.

What proof looks like on a BI engagement

• A before/after view of decision latency (how long it takes leaders to get an answer)
• A before/after view of reporting effort (hours per week across teams)
• A KPI dispute log trend (how often numbers are challenged, and why)
• Adoption by role (who uses what, and how often)

Request a BI Decision Pack (30 minutes)

FAQ for BI Consulting Engagements

How long until executives see something usable?

In most engagements, executives see the first release when KPI definitions and data checks are in place. Shipping early without those two creates mistrust that’s hard to reverse.

What do you need from us to start?

A sponsor, KPI owners for the first domain, access to existing reports/dashboards, and a point person for source systems. If access is delayed, we run a staged plan and document constraints.

Do we have to change tools?

No. We prioritize trusted metrics, repeatable delivery, and adoption. Tool changes happen only when your constraints make the current stack impractical.

Who owns the dashboards and models when you’re done?

Your team does. We deliver with documentation, QA criteria, and an operating cadence so ownership isn’t “tribal knowledge.”

What if our data quality is poor?

Then we treat it as a first-class deliverable. You’ll get a data quality scorecard with pass/fail checks, ownership, and a remediation backlog prioritized by business impact.

Can you work with security and compliance requirements?

Yes. We design role-based access, approval workflows, and audit-ready documentation so BI delivery doesn’t stall on governance.

How do you prevent KPI drift over time?

Metric contracts, owners, change control, and release notes. When KPIs change, the change is explicit, approved, and traceable.

Let’s Talk

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