Armilis Data Integrity Framework: the way to create valid consistent unique timed accurate complete data
Today, data is the fundamental pillar upon which our new world is being built. Intelligent systems and IoT-enabled infrastructures will depend on this data for daily operations. Data integrity is a key element for the success of the Digital Transformation and Industry 4.0.
Data has known origin and valid format
Data is kept unchanged as it moves across networks and users
There is no duplicated data that represents the same event, entity or process step
Data has a known, unchangeable and unique timeframe
Data correctly represents the process, system or event.
Data streams have no gaps or missing information