Spotonix FIRST MEETING · 30 MIN
SELF-LEARNING ANALYTICS
Your concierge analyst for
trusted answers in seconds.
Your vocabulary. Same accepted plan. Same SQL. Every time.
01
LEARNS
Stop re-explaining the business.
Your governed meaning, captured once.
02
COMPOSES
Trust every answer.
A verified plan built from your validated logic.
03
COMPOUNDS
Turn answers into operating leverage.
Every accepted answer, reused.
Spotonix CONTEXT GRAPH OUTCOMES
Three outcomes only
a Context Graph can deliver.
01
STOP RE-EXPLAINING THE BUSINESS
Your definitions carry forward.
Make business meaning stick: the graph remembers your metrics, definitions, owners, and exceptions.
02
TRUST EVERY ANSWER
It shows its work.
Terms, filters, grain, and joins are visible before any SQL runs — it asks instead of guessing.
03
TURN ANSWERS INTO OPERATING LEVERAGE
Answers become a weekly loop.
Accepted answers become briefs, reviews, and reusable plays that outlast turnover.
Meaning, turned into answers.
Spotonix THE GAP
Self-service BI gave everyone access.
Not answers.
01
DASHBOARDS & SEMANTIC LAYERS
Govern the nouns.
Measures are certified; the procedure stays buried in dashboards, tickets, and review cycles.
02
ANALYSTS
Trusted but scarce.
They know how the business reasons — but everyone waits behind the queue.
03
TEXT-TO-SQL / CHATBOTS
Fast but implicit.
“Growth,” “losing,” “cohort,” “threshold” get chosen silently.
Access is not the gap. Governed interpretation is.
Spotonix HOW IT WORKS
The plan you approve
before the query runs.
01
LEARNS
Reads your business once.
Warehouse, dbt models, semantic layer, and approved query history.
02
COMPOSES
Shows the plan before SQL.
Uses Intent Algebra — a constrained, inspectable plan language — to resolve metrics, filters, grain, and ambiguity.
03
COMPOUNDS
Every answer is reusable.
Each accepted plan joins the Context Graph, so later questions need less review.
Language is ambiguous. The approved plan is not.
Spotonix WORKED EXAMPLE
A real plan,
not a prompt.
THE QUESTION
“Are we losing habitual buyers in the Northeast?”Sounds simple. The key definitions are hidden inside the words.
WHAT AN UNGUIDED SYSTEM MUST GUESS
- What counts as habitual?
- Does “losing” mean fewer visits, lower spend, or churn?
- Compare to last quarter, prior year, or a trailing average?
- What decline is material?
- Tie customers to which store?
GOVERNED RESOLUTION · BEFORE SQL
Cohortyour approved habitual-buyer definition
Metricyour store-purchase-frequency
Comparisoncurrent qtr vs prior-year baseline
Declinebelow your accepted threshold
ScopeNortheast (your geography)
Not governed yet? It asks once — then it's saved and reused.
Not a prebuilt template. Not a guess. A plan resolved against governed definitions.
Spotonix DEPLOYMENT
Safe to deploy.
Yours to operate.
01
SECURE
Read-only, your boundary.
One read-only credential; deploys inside your VPC or enterprise boundary.
02
PORTABLE
Bring your own model.
Works with your approved enterprise model. The model can change; the governed plan remains.
03
YOURS
Your context stays yours.
Data, definitions, and accepted plans stay yours. Spotonix retains the platform and methods.
Deployed with design partners in AdTech, FinTech, and PaaS.
Spotonix THE PILOT
Prove one decision loop
in two weeks.
WHAT WE NEED
- One read-only warehouse credential
- 30 minutes with your data team
- One recurring decision loop
WHAT YOU GET
- A first Context Graph slice
- Three answer workflows your team validates
- A deployment & ROI estimate
One loop. Three validated workflows. No platform commitment.
THE NEW LAYER
Semantic layers governed your nouns.
The next decade governs your verbs.
queues → answers in seconds dashboard sprawl → one governed answer tribal knowledge → meaning that compounds
The companies that capture analytical meaning now will stop re-explaining it, trust it in every answer, and turn it into operating leverage.