Datastreams
    Datastreams · Managed data infrastructure

    Real-time data infrastructure.
    From source to business outcome.

    Collect, process and deliver live information under your business rules. Datastreams connects customer touchpoints and business systems through one runtime, applying context, transformations and permissions while data moves. Each confirmed response can update the next operation.

    Discuss your first processSee how configuration works

    The same input, context and approved rule version produce the same rule-based result.

    A commerce event joins current customer and operational context before coordinating fulfilment, service and next actions.
    Business benefitTurn one signal into the right next actionCurrent customer and operational context drives fulfilment, service and permitted engagement from the same accepted event.

    The business value

    Spend less effort keeping data and services aligned.

    Your guidelines become executable agreements for collecting, processing, sharing and retaining information. The runtime applies them to connected operations, keeping business context and services together as data flows.

    Less integration work

    Connect compatible endpoints at runtime. Reuse processing agreements across services, reducing custom connections and separate automation tools for the work covered by your streams.

    Less coordination work

    Keep the agreed rules and responsibilities with the operation. Teams and connected partners can work from the same approved definition as operational, financial or personal context changes.

    Less audit preparation

    Inspect the context, applied rule version and processing outcome together. Reduce the work of reconstructing evidence across systems when reviewing data use or preparing an audit.

    Start with one process. Measure integration and change hours, coordination effort, software costs and audit preparation before and after. Include platform and transition costs, then expand where the savings are demonstrated.

    The complete data operation

    Collection, processing and delivery stay together.

    Contextual Streaming Intelligence is how the Datastreams runtime connects each event to its meaning, approved rules and permitted outcome. Start with customer data infrastructure and reuse the same foundation for financial, partner or operational services.

    The complete operation

    One runtime. Your business rules.

    1. 01

      Collect

      Web, app, CRM, orders and service events.

    2. 02

      Process in context

      Apply meaning, permissions, transformations and rules.

    3. 03

      Deliver

      Prepare the permitted update for each service.

    4. 04

      Confirm and update

      Use responses to update context and evidence.

    The same accepted input, context and approved rule version produce the same rule-based result.

    Business benefitOne customer event serves several business servicesKeep campaigns, service teams and AI working with the context each is permitted to use.

    Choose the control question

    Go deeper where your first stream needs it.

    Each specialist page explains one part of the operating model. Together they form one controlled route from source to business service.

    Check data quality

    Validate structure, meaning, completeness and business validity before an event continues.

    Share across organisations

    Give each recipient its agreed output from the same source event.

    Apply privacy in context

    Resolve purpose, authority, consent and retention while the operation runs.

    Describe the operation

    Prepare, validate, approve and publish one readable stream configuration.

    Collect behavioural data

    Connect web, native app, server and operational activity with its business meaning.

    Build services on the stream

    Expose governed stream APIs to business apps, interfaces and agents.

    End-to-end contextual control

    From source data to backend result, then back into context.

    Context is part of the operation from the start. Source, actor, time, purpose, current state and destination requirements determine what an input means and what may happen next. Datastreams validates and transforms it, sends the permitted output and incorporates the backend acknowledgement or rejection into the next state.

    source data + current context → business event → deterministic processing → backend record or action → confirmed result → updated context

    One versioned agreement governs collection, transformation, delivery and outcome. The operation can retain the state, history and evidence it requires, at the location and for the period the organisation approves.

    One stream, several services

    Reuse the governed operation instead of rebuilding its context.

    The same accepted event can serve operational, analytical and customer-facing services. Each receives only the format, fields and action its role permits.

    Finance

    Sales, refund or payment data becomes a ledger-ready event when entity, location, period, tax and account context are applied. The posting response updates the current batch state.

    Digital journeys

    A web or app signal becomes a usable business event when its source, customer choice, current journey and permitted purpose are known.

    Business networks

    A product, shipment or service event can serve several partners in their own permitted context without giving every party the full payload.

    Operational exceptions

    A late, incomplete or risky event can be rejected, repaired, escalated or routed, with that result becoming context for the next event.

    Map one live process