The rise of asset intelligence: moving business analytics from reactive to predictive – and beyond
When the discussion turns to new technologies and their potential to shape strategy and rewrite the rules for decision-making, it can be hard to gauge their ultimate impact. That’s especially true in the growing field of asset intelligence, where businesses are using a vast new array of sensors, signals, analytics and automation to create more value.
Information today is flooding into organisations, presenting new opportunities to take faster, smarter actions using real-time signals. From factory floors and finished goods to computers, cars, construction equipment and more, almost anything you can imagine now has the potential to produce signals about its status and become a trusted element in your business operations. Processing these signals to support business decision-making and drive automation lies at the heart of asset intelligence.
Asset intelligence is how you use these signals to transform your business from a reactive to a predictive enterprise. It requires a systemic approach to sensors, signals, analytics and automation.
Beyond being a new way of producing signals and managing transactions, asset intelligence presents an opportunity to use information to drive smarter action and reduce process or service latency associated with decision-making. Combined with deep capabilities in analytics and automation, asset intelligence can assess what’s happening right now – and act on that information sooner, instead of after the fact.