Datastreams
    Customer & first-party intelligence

    Know what is changing for every customer
    while there is still time to act.

    Datastreams connects first-party events from every authorised channel to current customer context and business rules, giving teams, applications and agents the same governed intelligence without another customer-data implementation programme.

    Bring us your customer questionSee streaming intelligence

    Capacity and throughput are workload-specific and are validated against the intended event profile and service boundary.

    One current understanding

    Every channel contributes to the same live customer intelligence.

    An interaction can arrive from web, app, service, campaign, transaction or back office. Datastreams evaluates it against shared context and conditions before making the permitted outcome available.

    Receive events

    Accept behavioural, transactional, operational or sensor events through an explicit source and data contract.

    Build trusted state

    Connect events to current first-party context, history, identity conditions and business objectives.

    Evaluate conditions

    Apply validation, consent, purpose, permissions and business rules before an action is permitted.

    Deliver or act

    Route the permitted result to a chosen endpoint, DataInbox, application, partner or approved agent.

    Complex event processing

    High volume does not remove the need for meaning.

    Events arrive quickly, but the correct action may depend on sequence, time windows, previous state, identity, consent and current policy. Those conditions belong in the running definition rather than in disconnected downstream jobs.

    event + history + context + policy → state change or action

    The runtime can evaluate many independently versioned operations on the same foundation. Actual capacity, latency and resource behaviour are established with representative workloads.

    Where this becomes valuable

    Use the data for an objective, not merely for another copy.

    First-party data becomes an active business capability when it maintains trusted state and coordinates the next allowed action.

    Customer interaction

    Maintain a trusted customer state and determine the next permitted service or communication action.

    KYC and assurance

    Observe evidence changes, expiry and missing information while retaining the basis for follow-up actions.

    Operational events

    Combine high-frequency events with current business state to trigger, suppress or escalate a response.

    Agent context

    Provide purpose-bound first-party context without turning the model provider into the permanent business memory.

    The perfect match: DataInbox

    Keep live intelligence as trusted customer context.

    When the operation needs persistent state, an objective and controlled human or agent interaction, DataInbox keeps the resulting context, actions and evidence available without replacing the Datastreams streaming foundation.

    See the perfect match

    What remains explicit

    • Who supplied the event and under which contract
    • Which first-party context was relevant
    • Which consent, policy or business rule applied
    • Which state changed or action followed
    • Which destination received the permitted result

    Which customer question still requires exports, dashboards and manual interpretation?

    Bring the question and connected channels. We will map the live context, rules and permitted outcome.

    Bring us the question