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Analytics & Learning

Turn operational data into decisions, and documents into training material.

The material an organisation already owns is the material it uses least.

Organisations hold years of reports, transactions and records that never become insight, and training material that is written once and never adapts to the reader.

Analytics over your own operational data, and adaptive learning built on your own documents: the two places where an organisation's existing material can do more work than it currently does.

Why these two sit together

  • Both turn existing material into something active

    Operational records become answers; documents become practice. In both cases the input is material the organisation already has and currently stores rather than uses.

  • No technical intermediary

    0Plus removes the SQL, the Python and the wait for the data team. Fekr removes the fixed curriculum. Neither asks the person with the question to become someone else first.

  • Arabic and English on equal footing

    A question typed in Arabic is answered as directly as one typed in English, which is not the default for analytics tooling in this region.

What each side does

  • Ask a question, get an answer with a chart

    Type in plain English or Arabic and get an actual answer, not a dashboard to go and interpret yourself.

  • Charts that explain themselves

    Every chart comes with a written explanation, so nobody is left squinting at a graph working out what it is saying.

  • Forecasting without a data scientist

    Time-series forecasting and probability modelling are built in, so predicting a trend does not require hiring someone who knows what a confidence interval is.

  • Practice that adapts as you improve

    Fekr's subject-specific tutors track pace, adjust the study plan, and shift exercise difficulty with performance, with an explanation the moment something is wrong rather than days later.

What changes

  • Data stops sitting in a spreadsheet

    The difference between having data and having it shape a decision is whether the person making the decision can query it themselves.

  • Nobody waits on the data team for a number

    Routine questions stop consuming analyst time, which is the scarcest capacity in most organisations.

  • Learning material adapts to the reader

    Study time goes to what the learner needs rather than to what a generic course assumes they need.

How it deploys

  • Cloud

    The standard deployment for both platforms.

  • Connected to your own systems

    Analytics runs over your operational data; learning runs over your own documents and material.

  • On-premises

    Where the underlying models and the data both have to stay inside the boundary.

By Industry

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Tell us the problem. We'll tell you honestly whether AI is the right answer.