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    Data & Analytics

    Data and Analytics

    Clear information for better decisions.

    We bring your data together from sales, finance and operations systems, and turn it into live dashboards and predictive models your team can act on.

    In short

    Aiwalay provides data and analytics for businesses worldwide. Clear information for better decisions. Services include dashboards and reporting, data pipelines, predictive models and more, built with Power BI, Looker Studio, PostgreSQL. Every engagement starts with a free consultation, is scoped and priced in writing before work begins, and you own what we build.

    What we offer

    Dashboards and reporting

    Live dashboards in Power BI, Looker Studio or custom tools, replacing manual reports.

    Data pipelines

    Bringing data from sales, finance and operations systems into one reliable source.

    Predictive models

    Lead scoring, demand forecasting and churn prediction trained on your own data.

    Data migration

    Moving and cleaning data between systems with full validation.

    How we work

    1. Laptop showing a video call next to speech bubbles
      1

      Consultation

      A free discussion of your goals and current systems, so we understand the problem before proposing anything.

    2. Proposal document with a timeline and a price tag
      2

      Proposal

      Scope, timeline and a fixed price in writing before any work begins.

    3. Laptop with code, a checklist and test beakers
      3

      Build and test

      Regular demonstrations and testing on real scenarios, so there are no surprises at the end.

    4. Rocket launching from a laptop next to a support headset
      4

      Launch and support

      Handover, training and optional ongoing support. You own everything we build.

    Technologies we use

    Power BILooker StudioPostgreSQLBigQueryPython

    Data & Analytics: frequently asked questions

    Can you replace our spreadsheet reports?

    Yes. We connect your systems to a live dashboard so reports update automatically instead of being rebuilt by hand.

    How much data do we need for predictive models?

    It depends on the use case. For lead scoring, two to three years of past leads and outcomes is usually a good starting point.