Collecting the full data of thousands of machines raises a volume problem. Treating the reduction of that volume as a product objective — rather than a constraint endured — serves cost, compliance and the environment at once.
The volume glass ceiling
To deliver fine-grained, near-real-time analysis, an IoT platform needs a large volume of raw data ingested continuously. But frame volume and computation times are not compatible, at scale, with exhaustive transmission over a mobile network. Increasing bandwidth does not solve the underlying problem: the amount of information to transmit grows faster than the networks.
Reducing without losing usable information
Digital sobriety means optimising the volume of data collected, transferred, stored and computed without degrading the quality or completeness of the usable information. This goes through controlled collection, deduplication at the source, optimised time-series storage, incremental archiving and streaming of heavy computations — levers that reduce the footprint without impoverishing the analysis.
Three aligned benefits
Making sobriety a product axis serves three purposes at once: cost control (network and storage), GDPR compliance (data minimisation) and eco-responsibility. It is a durable advantage — economic, regulatory and reputational.
