Connected Visibility
Bring device and operational information into one accessible environment.
Intelligent data platform
Anacle Data combines IoT connectivity and big-data intelligence to help organisations collect, understand and use operational information more effectively.
The opportunity
IoT provides a continuous source of operational data. Big-data technologies organise and analyse that information so teams can understand performance, identify patterns and make better decisions.
Bring device and operational information into one accessible environment.
Convert high-volume information into clear trends, measurements and meaningful insights.
Give teams the information needed to respond and improve operational performance.
Connected data flow
A structured IoT environment carries information from connected assets into dashboards, analysis and operational workflows.
Capture information from meters, sensors, equipment and connected infrastructure.
Bring information together and organise it in a consistent, usable form.
Identify patterns, trends, exceptions and operational performance.
Present insights through interfaces that support faster operational decisions.
Unified platform
Connected interfaces make information easier to access across desktop and mobile environments, helping teams maintain visibility wherever they work.
Review important information through responsive operational interfaces.
Present connected information through organised visual reporting.
Support growing device, data and operational requirements.
Operational applications
The platform can support organisations that require stronger visibility across buildings, utilities, cities and distributed operational assets.
Connect building information and operational measurements through one monitoring environment.
Understand consumption and performance across distributed utility infrastructure.
Bring information from multiple systems into a coordinated city-management environment.
Build connected intelligence
Talk to our team about your connected devices, data requirements and operational objectives.