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How long does your org take to turn data into a decision?

Stage 1 of 5

Data Ingestion

How long does it take to connect a new data source and ingest data into your warehouse?

Complete all stages

Answer all 5 stages above

How does your industry compare?

Average end-to-end Time-to-Insight (days) across five stages — ingestion, transformation, modelling, governance, and delivery.

Banking & BFSI

Rubiscape
62d

Manufacturing

74d

Government & PSU

95d

Insurance

58d

Healthcare

80d

Retail & CPG

48d
Industry avg (days)
Rubiscape(1w avg)

What slows the pipeline from data to decision

Connector Sprawl

Every new source requires a custom connector. Engineering queues stretch ingestion from hours to weeks.

Pipeline Fragility

Hand-coded transformations break on schema change. Each fix costs days of engineering time.

No Shared Governance

Data quality and lineage live in separate systems. Compliance review becomes a manual bottleneck.

ML Disconnect

Models built in isolation from dashboards and reports. No shared data context between tools.

Delivery Lag

Insight sits in a report format that decision-makers have to pull, not receive. Alerts are afterthoughts.

Tool-Switching Tax

5+ tools means 5+ contexts. Every analyst switch between tools costs 20–30 minutes per session.

Ready to cut your Time-to-Insight?

Book a personalised demo and we will map your current stack against Rubiscape, showing you exactly where each stage speeds up.

Also see: Why Enterprises Choose Rubiscape