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Zwicky Technology

Data Analysis & Visualization

From scattered data to decisions you can defend.

Turn scattered data into dashboards and forecasts your team trusts.

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Overview

What we deliver

Your data lives in a dozen tools and nobody quite trusts the numbers. We build the pipelines that bring it together, the models that make it consistent, and the dashboards and forecasts that help people act on it. Every metric is defined once, documented and traceable to its source.

  • Data audit and metric dictionary
  • Automated pipelines and warehouse models
  • Dashboards for each audience
  • Forecasting models with accuracy reporting
  • Data quality tests and monitoring
  • Documentation and team enablement

Capabilities

How we can help

  • Data pipelines

    Reliable ELT from your apps and databases into a modern warehouse.

  • Data modelling

    Clean, tested models with one agreed definition per metric.

  • BI dashboards

    Executive and operational dashboards in Power BI, Metabase or custom builds.

  • Predictive analytics

    Forecasting demand, churn and revenue with models you can explain.

  • Interactive reporting

    Embedded analytics for your customers, inside your own product.

  • KPI tracking

    Targets, alerts and automated summaries delivered to the right people.

Process

How an engagement runs

  1. 1

    Audit

    Inventory sources, metrics and the decisions they should support.

  2. 2

    Model

    Build pipelines and a tested semantic layer.

  3. 3

    Visualise

    Design dashboards around questions, not around tables.

  4. 4

    Predict

    Add forecasting and alerts once the foundations are trusted.

Use cases

Where this makes a difference

  • Use case 01

    Executive cockpit

    One view of revenue, margin and pipeline, refreshed every hour.

  • Use case 02

    Demand forecasting

    Predict stock needs per location to cut waste and stock-outs.

  • Use case 03

    Customer analytics

    Embedded dashboards that show your customers the value they get.

Typical technology

  • Python
  • SQL
  • dbt
  • Snowflake
  • BigQuery
  • Airbyte
  • Power BI
  • Metabase
  • D3.js
  • scikit-learn

Related work

See it in practice

Specialty retail chainSample

Demand forecasting across 140 stores

Read case study

FAQ

Data & BI: common questions

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Tired of arguing about whose numbers are right?

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or email info@zwickytechnology.com