Datastreams
    Datastreams · Contextual Streaming Intelligence

    Know what is happening.
    Know what can happen next.

    Datastreams connects live customer, order and operational data with the business context that gives it meaning. Your agreed rules determine what happens next, so people, systems and AI can act on current information with clear permissions.

    Explore use casesDiscuss one process

    Start with one process. Add more when the value is proven.

    Which customers need attention now?

    What changed across our connected channels?

    Which action is permitted and relevant next?

    Live data. Business context. Deterministic decisions.

    Context that stays current

    See what changed, what it means and what is allowed.

    Context means the customer relationship, existing commitments, current situation and permissions around an event. Streaming keeps that picture up to date as new information arrives.

    Know which customers need attention

    Bring interactions and changing customer circumstances together while there is still time to respond.

    Understand every connected channel

    See what is happening across web, app, service, campaigns, transactions and daily operations.

    Catch exceptions as they happen

    Recognise an opportunity, delay, risk or required follow-up and send the right outcome to the right place.

    Give people and AI current answers

    Give teams and approved AI the current facts, relevant commitments and permissions needed for the task.

    Deterministic by design

    The same facts and rules lead to the same decision.

    For the same input, business context and approved rule version, Datastreams produces the same rule-based result. A changed outcome can be traced to changed facts, context or rules. AI-generated suggestions remain subject to those checks.

    Understand the situation

    A customer withdraws marketing consent. That update changes the context for the next campaign decision.

    Apply the agreed rule

    Before the next configured marketing action, check the recorded consent. If permission is absent, the rule blocks that action.

    Explain the outcome

    See the context and rule version used, why the action was blocked and who owns the business rule.

    Your organisation defines the rules, approval thresholds and responsibility for each outcome. Deterministic execution makes those rules consistent and testable; their correctness depends on the data and the rules you approve.

    Guaranteed data quality

    Only data that meets your declared quality contract moves forward.

    Datastreams validates every event while it moves. Complete and valid data continues to the intended outcome; an exception is rejected, repaired or routed before it can silently affect a ledger, customer action, partner or AI.

    The guarantee is precise: every delivered output passed the active, testable rules. The organisation remains responsible for defining what quality and truth mean for its business.

    Explore data quality at runtime

    Define

    Describe what complete, timely and business-valid data means for the outcome.

    Enforce

    Evaluate every event and prevent failed data from silently moving downstream.

    Explain

    See which rule passed or failed and how the exception was handled.

    From business need to daily operation

    Describe what should happen. Datastreams keeps it working.

    We turn the agreed sources, meaning, rules and outcomes into one inspectable operation. AI can help describe, explain and test a proposed change; your organisation controls what may go live.

    See how Datastreams works

    One continuous operation

    business intent → review and approval → runtime → answer or action

    • Tell us which information arrives and where it comes from.
    • Describe what should happen and which business rules must always apply.
    • Review and validate the agreed operation before it goes live.
    • See what happened, which rule was applied and where the result went.

    Data in motion

    Process the data without creating another place to store it.

    Your organisation chooses where information starts, which rules apply and where every result is delivered. Datastreams can process and distribute the event while it moves. Storage is added only when the business process needs state, history or evidence.

    Explore controlled data sharing

    One input, different outcomes

    chosen source → agreed rules → output A + output B + output C

    Financial

    Post one approved transaction to the ledgers that need it.

    Consent

    Send only permitted data to each authorised channel.

    Partners

    Share the agreed fields with each party in the chain.

    The processing definition is managed separately from the data itself. Changing an output does not require the business rules to be hidden inside new integration code.

    Experience across European organisations

    Different sectors. The same need to understand live data without losing control.

    These implementation references span telecommunications, public mobility, media, healthcare fundraising and insurance. Each shows how connected signals become usable while quality, context, permissions and accountability remain part of the operation. The initial wording is ready for customer validation.

    Content to confirm

    Vodafone Germany

    Telecommunications

    Relationship

    Customer implementation

    Implementation reference

    Data quality controlled across digital channels.

    Datastreams provided one operating layer for applying shared data-quality definitions across Vodafone Germany's digital channels, so channel events could be checked consistently before downstream use.

    1. 1Channel event received
    2. 2Quality rules evaluated
    3. 3Trusted event delivered

    Vodafone Germany is confirmed by Datastreams as a customer implementation. The precise scope, period and public wording still require final customer approval.

    Case 1 of 5

    Governed by design

    Clear rules for every permitted action.

    Policies, regulations and individual choices change over time. Datastreams evaluates purpose, identity, consent, authority, quality and current context against the active approved rules before data is used or an action follows.

    Explore privacy by design

    Immediate audit context

    Inspect which version, purpose, context, policy result and destination belonged to an operation.

    Replaceable channels and AI

    Change compatible sources, destinations or model providers without surrendering the business definition and history.

    Infrastructure choice remains yours

    Use a serviced environment, a dedicated server of choice or an on-premise deployment under an explicit operational boundary.

    The perfect match

    When streaming intelligence needs trusted memory and controlled action.

    Datastreams understands what is happening across live streams. DataInbox can preserve the resulting context, objectives and actions so people and approved agents work from continuously updated business state.

    Datastreams + DataInbox

    Events become intelligence. Intelligence becomes lasting, actionable context.

    DataInbox is available when an operation needs a governed place for customer state, objectives, decisions and agent interaction. Datastreams remains the streaming intelligence foundation.

    See the perfect match

    Research-led since 2014

    Built through European data practice.

    Research programmes and implementation experience shaped Datastreams around changing context, accountable processing and operational control.

    Read our story

    Start with the question your current data stack still cannot answer in time.

    Together we define the information, business context, decision rules and responsible owner for one measurable outcome.

    Bring us your question