From raw business problem to actionable insight — guided by AI, powered by five analytics tiers, delivered through a single intelligent platform.
Datum classifies your business problem and unlocks the right analytical capabilities — from historical summaries to AI-driven cognitive insights.
Summarise historical data into KPIs, trend charts, and distribution reports. Turn raw numbers into a clear picture of where you stand.
Datum automatically classifies your problem and recommends the appropriate tier, then guides you through the analytical workflow with AI assistance.
See how Datum guides organisations through the full analytical journey — from an ambiguous problem statement to a concrete, data-backed action plan.
A regional retail chain noticed a 12% revenue drop over Q3 but had no clarity on which stores, categories, or customer segments were driving the decline.
Datum mapped 18 months of POS data across 47 stores, surfacing that 3 stores in the Southeast accounted for 68% of the decline.
Root cause analysis revealed a correlation between the decline and a competitor opening within 2km radius, combined with a 34% drop in repeat purchase rate.
Churn model identified 12,000 at-risk loyalty customers with 78% confidence, projected to represent $2.1M in lost ARR over 6 months.
Datum generated a targeted retention playbook: personalised offers for 3 customer segments, store layout optimisation, and a competitive pricing adjustment for 8 SKU categories.
$4.2M revenue recovery projected over 12 months. Retention campaign launched in 14 days.
Datum is designed from first principles as an AI-native platform. Unlike traditional analytics tools that add AI as a feature, Datum's entire reasoning pipeline — from problem framing to insight generation — is orchestrated by language models working in concert with structured analytical engines.