Metrics & definitions
Single source of truth for KPIs, cohorts, and funnel stages everyone agrees on.
Data
Data Analytics Services
Turn raw data into decisions your leadership can act on.
We match analysts and data engineers who clean messy sources, define trustworthy metrics, and build reporting your operators actually use—not vanity charts.
Typical kickoff: 48–72 hours · Vetted talent · Month-to-month flexibility
Trusted by 1000+ founders & startup owners
For the first time our board and product team looked at the same KPIs—and trusted them.
What we deliver
Capabilities for your engagement
Hands-on expertise aligned to your stack, stage, and timeline.
Pipeline & modeling
ETL/ELT workflows, warehouse modeling, and data quality checks for reliable downstream use.
Dashboards & self-serve
Executive summaries and team dashboards in tools you already use (Looker, Power BI, Metabase, etc.).
Experimentation support
A/B analysis, attribution clarity, and readouts tied to product and growth decisions.
How it works
From first call to delivery
A path tailored to data engagements—fast movement without skipping clarity.
1
Define metrics
We align KPIs, cohorts, and funnel stages so teams stop arguing about numbers.
2
Stabilize pipelines
Data quality checks, lineage notes, and reliable tables for downstream use.
3
Ship dashboards
Executive and team views in the tools you already use—built for decisions, not decoration.
4
Enable decisions
Experiment analysis and readouts connected to product and growth priorities.
Engagement
What the first weeks look like
A practical timeline so stakeholders know what to expect—week by week, not vague promises.
- Week 1: Source inventory, metric definitions, and stakeholder interviews
- Weeks 2–3: Pipeline fixes and a draft metric catalog everyone signs off on
- Week 4: Dashboards for leadership and operators with ownership documented
- Ongoing: Experiment readouts and recommendations tied to product decisions
Why Selecta
Built for quality and speed
The same rigor you expect from a premium talent partner—for this service and beyond.
Trustworthy numbers
Definitions and ownership documented so metrics survive team changes.
Operators first
Dashboards designed for the people who act on them—not vanity charts for decks.
Engineering-grade pipelines
Analysts and data engineers who can fix sources, not only visualize them.
FAQ
Common questions
Straight answers before you book a consultation.
We have messy data—can you still help?
Yes. Most engagements start with inventory and quality fixes before any dashboard work.
Which BI tools do you support?
Looker, Metabase, Power BI, Tableau, and warehouse-native tools—we work in your stack.
Can you support experimentation?
We design readouts for A/B tests and guard against peeking and biased interpretation.
How do you hand off to our team?
Metric catalog, pipeline docs, and paired sessions so internal owners can maintain what we build.
Ready to move?
Tell us what you are building—we will recommend the right team and engagement model.