Cost to create a single Omni Enterprise data category — a behavioural segment, mobility cluster, or spend propensity score — from raw Telco operator signals. Each category creation is a discrete, billable unit of work on GCP.
"What is the GCP cost to create 1 new data category through the Omni Enterprise pipeline, based on the current data specification?"
2026 Per Category
$12.8K
Compute + Storage
Categories / Year
12
2026 baseline
Annual 2026
$154K
Total yearly spend
5-Yr Total
~$1.39M
Growing volumes
Cost Calculator
Per-Category Assumptions
Adjust category count, data scan depth, and pricing to model different scenarios.
Volume
Number of new categories created per year starting 2026
Additional categories added each subsequent year
BigQuery TB scanned per classification job
Pricing
Dataflow enrichment cost per category creation run
GCS + BQ storage cost per category (12-month retention)
Annual increase in per-category cost as data volume grows
Per category · 2026
$12.8K /category
BigQuery$8.5K
Dataflow$1.8K
Storage$2.2K
Team$0.3K
Annual 2026$154K
5-year cumulative: ~$1.39M GCP list pricing · Jul 2026
Category Taxonomy
Cost by Category Type
Category creation cost varies by data scan depth and enrichment complexity. Values scale proportionally from the calculator above.
Category TypeBQ ScanDataflowStorageTotal
Mobility Cluster
Light————
Spend Propensity Score
Heavy————
Behavioural Segment
Heavy————
Custom ML Category
Custom————
5-Year View
Annual Spend & Per-Category Cost Trend
Annual Spend by Year ($K)
BQ · Dataflow · Storage · Team — stacked
Per-Category Cost Trend ($K)
Data volume inflation drives unit cost up
Cost Item
2026
2027
2028
2029
2030
5-Yr Total
Number of categories
BigQuery compute
Dataflow enrichment
Storage (results)
Team (prorated)
Total Annual Spend
Placeholder notice: Per-category cost depends heavily on BigQuery scan depth, which varies by category type and feature complexity. Committed Use Discounts on BQ capacity could reduce compute costs by 25–40%. Populate the XLSX calculator to propagate actuals.
