Enterprise data platform & excavation reporting
A BigQuery-centered data platform and automated executive reporting replaced a four-person morning reporting process. Explore the city-wide works map and near-real-time access for management.
Data & Analytics
Connect your data.
Put it to work.
Define your enterprise data strategy, connect operational systems and build platforms for dashboards, forecasting and AI. CloudHero brings the data engineering and delivery together.
Data engineering in practice
Built around real operational needs.
Energy forecasting & consumption evaluation
Energy forecasting with owner-reported 94%+ accuracy and €3 million in annual energy cost savings. Explore the consumption inputs, delivery workflows and evaluation views.
Industrial telemetry, dashboards and alerts
An automotive proof of concept used simulated machine data, Azure IoT Hub, InfluxDB and Grafana to explore monitoring and alert scenarios.
What we deliver
Start where your data work needs help.
Enterprise data strategy
Agree the business questions, understand your source systems and define the architecture and delivery priorities.
Data platforms & integrations
Bring source data into analytical platforms. Build ingestion pipelines, transformations and datasets for the use cases you agree.
Dashboards & analytics
Give teams views of the metrics they need. Connect operational data to reporting with clear definitions and ownership.
Industrial data integration
Connect equipment and operational-system data to local dashboards, alert workflows and cloud analytics.
Forecasting & ML engineering
Prepare inputs, put model workflows into use and deliver outputs with evaluation views. Agree model-development and engineering responsibilities.
Support & improvement
Agree how pipelines and analytical systems are monitored, investigated, reprocessed and changed after delivery.
A foundation for AI
Connect the sources before choosing the next application.
- 01Understand
Business questions, source systems and data availability.
- 02Connect
Ingestion, transformations and analytical datasets.
- 03Use
Dashboards and reporting for operational teams.
- 04Extend
Prepared inputs for forecasting and AI applications.
Technology choices
Work with the systems you have.
Google Cloud & BigQuery
Our utility work includes a BigQuery-centered platform, Dataform transformations and operational reporting. A separate case study covers energy forecasting.
Industrial & hybrid environments
Our work spans source-specific collection, local reporting and cloud integration. The automotive PoC explored Azure IoT Hub, InfluxDB and Grafana using simulated machine data.
Work with CloudHero
Agree the next useful deliverable.
Discovery & strategy
Review your sources, business questions and existing architecture. Agree the scope and priorities for delivery.
Platform & application delivery
Build the agreed integrations, transformations, dashboards or forecasting workflows, with validation and handover.
Ongoing engineering
Agree operational responsibilities or add data engineers to your own team.
Before we start
Questions about data delivery.
Can you work with our existing data platform?
Yes. We start with your current systems, data sources and use case, then agree which parts to keep, connect or change.
Do we need to move everything to one cloud?
The architecture follows the requirements. Our utility engagement includes selected AWS integrations feeding a Google Cloud analytical environment.
Can reporting be the first outcome?
Yes. Dashboards and operational reporting can be useful deliverables on their own and can also provide a foundation for later forecasting or AI.
Can you put an existing forecasting model into use?
We can scope the data inputs, execution workflows, output delivery and evaluation. Model research and ongoing ownership are agreed with your team.
What data does a forecasting project need?
We review historical coverage, source timing, missing observations and the decisions the forecast will support. The evaluation method is agreed for the intended use.
Who supports the system after delivery?
We agree monitoring, incident investigation, reprocessing, change delivery and handover responsibilities as part of the engagement.
What should your data help you do?
Bring a reporting problem, an integration requirement or a forecasting use case. We’ll discuss the sources and the next step.