Services
Services built around how real teams operate
Every engagement is scoped to a decision, a workflow, or a reporting gap—not a generic “data transformation.” Below is what we deliver most often, and what “good” looks like when the work is done.
Service
Analytics strategy
When you need direction more than another dashboard.
Teams buy tools, hire analysts, and still feel stuck—because priorities, ownership, and definitions never got aligned.
What we deliver
- •Stakeholder interviews and decision mapping
- •A pragmatic roadmap aligned to capacity and ROI
- •Tooling recommendations that fit your stack and skills
- •A KPI framework draft with owners and review cadence
What “good” looks like
Leaders can explain what you measure, why it matters, and what you are not measuring yet—on purpose.
Service
KPI & reporting design
Definitions that survive contact with reality.
Reporting breaks when metrics mean different things in different departments—or when nobody owns the definition.
What we deliver
- •Metric dictionary with business definitions and edge cases
- •Source mapping and reconciliation approach
- •Executive narrative templates and operational drill paths
- •QA checks for common break points (late loads, refunds, reclasses)
What “good” looks like
When two leaders compare a number, they are looking at the same definition—and they know who to call if it drifts.
Service
Dashboard development
Interfaces people open because they trust them.
Dashboards become shelf-ware when they are slow, cluttered, or disconnected from the decisions people make weekly.
What we deliver
- •Role-based views for exec, operator, and specialist needs
- •Performance tuning for large datasets where needed
- •Interaction design that supports real questions (filters that make sense)
- •Documentation for how to interpret and extend the views
What “good” looks like
Your team reaches for the dashboard before exporting another giant CSV.
Service
BI implementation
Meet you where you are—Power BI, Looker, Tableau, or mixed environments.
A BI rollout fails when workspaces are messy, permissions are scary, and nobody knows how to publish responsibly.
What we deliver
- •Workspace structure, naming conventions, and environments
- •Semantic model / metric layer patterns appropriate to your tool
- •Lightweight governance: certified datasets, review workflow, change logs
- •Enablement sessions for builders and consumers
What “good” looks like
New reports are easier to build correctly than incorrectly—and consumers trust certified artifacts.
Service
Data pipeline setup
Reliable movement from source systems to reporting-ready tables.
Spreadsheet bridges only scale until the next busy week. Then breaks become “somebody else’s problem.”
What we deliver
- •Ingestion approach (batch vs incremental) matched to SLA needs
- •Transformations with tests on critical business rules
- •Monitoring hooks for freshness and row counts
- •Runbooks for common failure modes
What “good” looks like
Your morning report is boring—in the best way—because it shows up on time with expected totals.
Service
Reporting automation
Stop rebuilding the monthly pack from scratch.
Finance and ops teams lose days every month to manual assembly, formatting, and last-minute reconciliations.
What we deliver
- •Automated generation of recurring packs (PDF/slides/email summaries as needed)
- •Versioning and audit-friendly outputs where required
- •Exception reporting when numbers move outside thresholds
- •Clear ownership and escalation paths
What “good” looks like
Month-end becomes a review workflow—not a scavenger hunt across inboxes and folders.
Service
Fractional data leadership & advisory
Senior judgment without a full-time hire—yet.
You need someone to challenge vendors, interview candidates, and steer architecture—but not every day of the week.
What we deliver
- •Weekly or biweekly working sessions with leadership
- •Hiring support: role design, interview loops, and ramp plans
- •Vendor and roadmap reviews with pragmatic tradeoffs
- •Interim coverage during transitions
What “good” looks like
Decisions get made with fewer blind spots—and your team learns what “good” looks like while shipping.