+22%Conversion
1.2sLCP
Emerging Technology
Data Analytics & BI Services
One source of truth: KPI models, dashboards and self-serve analytics your teams actually use.
adoption training included
Stacked 3D bar and line charts with a FORCE KPI line risingProblems solved
What this removes.
no single source of truth
every team brings its own number
slow manual reports
decisions wait on spreadsheets
dashboard graveyards
200 charts, zero decisions
metric definition drift
churn means four different things
no adoption
BI licenses become shelfware
What's included
What you get.
- KPI tree + metric catalog
- semantic layer (dbt metrics)
- executive dashboards (Superset/Metabase)
- self-serve exploration workspace
- embedded analytics for customers
- alerting on thresholds
- data dictionary + owners
- adoption training program
- usage analytics for the BI itself
- 90-day improvement loop
Scope
Scope, clearly drawn.
Core scope is fixed. Add-on prices are indicative — not quotes.
Included in every engagement
- metric workshop + KPI tree
- semantic layer build
- dashboard suite (exec + ops)
- alerting + subscriptions
- data dictionary publish
- adoption training
Optional add-ons
- embedded analytics for customers+$8k
Recharts/Nivo or Superset embed
- mobile KPI alerts (Slack/Teams)+$3k
- experimentation dashboard+$5k
A/B results in one place
- BI migration (Looker/PowerBI -> open)+$6k
parity-checked
Our approach
How we run it.
Metric workshop
definitions + owners agreed
Semantic layer
one definition, everywhere
Dashboard build
exec + ops + self-serve
Adoption
training + subscriptions + alerts
Improvement loop
usage analytics on the BI itself
Pricing signal
What it typically costs.
Typical range
$15k-$90k
Midpoint $52.5k · final quote after a fixed-scope discovery.
adoption training included
Technologies
Tools we reach for.
Case evidence
Proof.
Our team's work, before DosVectis.
FAQ
Questions, answered.
Open-source BI only?
Preferred - Superset/Metabase; we integrate Looker/PowerBI when required.
Can you embed for our customers?
Yes - Recharts/Nivo custom or Superset embedded with row-level security.
Do you define metrics?
Yes - workshops produce a KPI tree with owners and formulas.
Can you migrate from Looker/PowerBI?
Yes - parity-checked migration with side-by-side validation.
How do you govern self-serve?
Certified datasets + exploration sandboxes; no raw access by default.
What refresh cadence?
Batch by default; realtime where latency earns its cost.
Related services
Pairs well with.
Data Analytics & BI Services without the guesswork.
One source of truth: KPI models, dashboards and self-serve analytics your teams actually use.