If you have had anything at all to do with analytics, business intelligence or strategic decision support the number one success criteria is the integrity of your data sources. Their relevance, frequency and accuracy are all key to forming the right information for decision making.
We've come a long way from interpreting existing data sources. There are so many highly capable and affordable solutions that can aggregate data, transform to information and, provide crucial insight for decision and action.
As part of our big data R&D, we are seeing a new data science quickly emerging that can harness the outputs of operational technology and convert them to valuable information. These are providing a new class of reliable data sources that can provide new insights such as basic asset utilisation, business optimisation and new ways to enhance customer experience.
Listening to operational technology is not a new phenomenon. The article from Matt Hardman - Really big Trucks and a thing called....Lumada reminds us telemetric based systems have been in place for decades. Hitachi has been working boths sides of Operation and Information Technology for a long time. For example, we have a whole range of 'back to base' applications that can tell us how our mining equipment, trains and whole variety of high-tech systems are performing, being operated and even predict their maintenance.
Making Video Talk and How to Listen
Video analytics is a science that allows data to be extracted real-time from a video feed. Here is some examples that have been successfully rolled out so far for business optimisation.
'Look' at the Queue
We've all regularly stand patiently in queues for services, at the bar or even waiting for the walk sign. What if we knew who deep each of these queues and can either provide a mobile app to point us to the shortest line at a venue or help with prioritisation at traffic lights?
Detecting a Queue Using Video Analytics
Who is in the Room? Who do we know and who don't we know.
Through a combination of facial recognition and people counting we can learn a lot about a facility and its usage.
Hitachi Live Face Match
Do we know how is actually taking the exam, turning up for a shift or driving a crane? Student and work environments can be very fluid and its complex to track everyone.
Identity fraud in these cases can disrupt the credibility of an institution or directly affect public safety
Imagine a campus scenario where we 'think' all meeting rooms, labs, lecture theaters are being used because they are booked.
A standard assumption is just because its booked doesn't mean someone is in it.
The business case is very straight forward. If the the rooms appear full and we need more space, we either rent or build. What if we can optimise such an investment decision based on actual usage vs data based on assumed occupancy?
Machines Have a lot to Say
Engines Make Good and Bad Noises
Its well known the best mechanics can hear a poorly tuned motor. Sensors now exist that can literally listen to an industrial motor and can detect engine not running, progressive engine stress and predict imminent failure. Proactive maintenance is a much better outcome than insurance claims and a poor customer experience.
The Technology Platform
This Operational to Information Analytics architecture is key to what the Hitachi's Lumada Platform can deliver today. Data is readily extracted from 'things', integrated with your existing data sources and is visualised using Hitachi's Pentaho and Visualisation Suite Solutions. Alarm can be automatically raised via essential systems to ensure information reaches the appropriate operator.
Operational/Information Technology (OT/IT) Analytics Architecture
The implementations and business outcomes only scratch the surface as to what is possible in this highly socially innovative area. I hope this post provides some insight how listening to your 'things' can realise new kinds of operational and performance benefits. They may have lots to say...