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What Product Categories do High Spenders like to shop?
"High spenders" matches two Segments. Pick one — or rephrase.
✓ "Spend > $5,000 / year" validated and added to your Context Graph
Six Moments · One Walkthrough
Each moment below is a real question from a real evaluation run. Each shows one thing Spotonix does that an LLM-only BI tool structurally can't.
01 / Learns Your Business
Schema, dbt models, BI assets, every SQL query your team has ever run. Spotonix studies the corpus and constructs a Context Graph — yours alone.
Your Context Graph · TPC-DS retail
02 / Clarify once · Memory forever
First time Spotonix sees an ambiguous term, it asks you to clarify or rephrase. Every subsequent question uses your validated definition automatically — no re-asking. The clarification is a one-time tax. The memory is permanent.
"High spenders" matches two Segments. Pick one — or rephrase.
Plan · auto-applied from Context Graph
Clarification once. Memory forever. Every disambiguation strengthens the Context Graph — and shortens the next question.
03 / Interpret
A real, multi-concept question. Every interpretation is a graph — named nodes, named edges — that you can read in ten seconds. The plan is the trust mechanism. SQL only compiles after the algebra closes.
04 / Conformed measures
"Sales" lives in three places in your warehouse — store, catalog, web — under three different column names. Building this reconciliation in a semantic layer typically takes weeks. Spotonix does it before the first question.
05 / Discovery
Sometimes the right question is "show me what's interesting." Spotonix proposes four candidate Segmentations — each with its own BI Algebra — and lets you drill into any of them.
Three customer-related dimensions surfaced from your Context Graph — all joined to store_sales, catalog_sales, web_sales. Each attribute below is an axis you can segment on; no values fetched yet.
Dimension
customeridentity & lifecycle
c_preferred_cust_flag 2 values flag_partition c_birth_year date cohort_window c_first_sales_date_sk date cohort_window Dimension
customer_demographicsdemographic profile
cd_gender 2 values cross_segment cd_marital_status 5 values cross_segment cd_education_status 6 values cross_segment cd_credit_rating 4 values cross_segment Dimension
customer_addressgeographic · hierarchical
ca_state 50+ values dimension_drilldown ca_city many dimension_drilldown ca_zip many dimension_drilldown 06 / Compound
Watch five real questions play through. The Segments and Calculations from each Answer persist — and the reuse rate climbs as the graph fills in. The 100th question is dramatically faster than the 1st because most of its building blocks already exist.
Three Ways to Experience It
From a 60-second sandbox to a 30-minute guided session with a founder.
Fastest · 60 seconds
A working Spotonix instance against a sample retail dataset. Ask any question. No login.
Try it now →Most Relevant · 5 minutes
See how Spotonix interprets your own DAX models — dry-run, no warehouse credentials required.
Coming soon · request early access →Deepest · 30 minutes
30 minutes with a founder. Bring your questions, your data challenges, your PBIX files.
Book a slot →