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DATA & AUTOMATION

Knowing, and then acting on it.

Data is about knowing: turning raw signal into information that can be queried and trusted. Automation is about acting: running a process without a person doing each step. Data work usually comes first; automation is what makes it operationally useful.

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Data and automation capabilities

01

Data Ingestion

Bringing data in from devices, applications or external sources into one place.

02

Data Processing

Cleaning, transforming and structuring raw data into a usable form.

03

Data Modelling

Structuring data so it reflects the real relationships in the operation it describes.

04

Analytics

Turning structured data into a measurable answer to an operational question.

05

Operational Dashboards

Surfacing the specific metrics an operation needs to see, continuously.

06

Workflow Automation

Replacing a manual sequence of steps with a process that runs on its own.

07

System-to-System Automation

Letting separate systems trigger actions in each other without manual handoff.

08

Event-Driven Workflows

Automation that reacts the moment a relevant event happens, rather than on a schedule.