I am launching the QSA enterprise concept, expect an executive
book soon, of the future self-aware, autonomous enterprise that will consist of self-aware,
autonomous components that intelligently talk to other self-aware, autonomous
things in a seamless Edge to Edge system across the total enterprise value
chain. This is but the beginning of the IoT, IoE technologies and when we have connected to everything's we shall be but beginning.
The first step is to dream, then to imagine, then to make it a reality. The
Focus of QSA is Business Benefit from our HANA4IoE solutions
We already have mind controlled prosthetic devices available
today. In California we already have Google’s driverless car operating on the
road, pilotless drones and cruise missiles are a reality of yesterday. What we
are witnessing is a disruption of unprecedented proportions that will impact
every process, industry and process of our lives in the very near future. The self-aware world of science fiction is a
reality today, it will only become commonplace sometime tomorrow. My motto for this is ‘Dreams yesterday, Reality today
and routine tomorrow’- and this cannot be truer today than anything
else. You’re Big-Data, Cloud, IoE and HANA better have a QSA component embedded
within it to assure strategic customer benefit built into the matrix
Our starting point is IoT and then we raise the bar slightly
and move on the IoE platform. Whereas
IoT plans to communicate with things that are networked the IoE has a vision of
communications between everything that needs to be monitored. Once IoE was blessed by Michael E. Porter and Harvard in the November 2014 HBR issue IoT has simply
become a familiar acronym while we all need to
be thinking IoE in its true sense.
The real value of smart gadgets may ultimately not be in
what data they generate, but what benefits can be extracted from the data of everything
feeds. It will be defined by how the data can be designed to tells a service administrator,
a production manager, an airplane service group, the Tesla support group all
with a goal of zero-downtime. It will be defined by how the data can be modeled
to tell your doctor, your cardiologist, your surgeon about critical alerts that
lead to a proactive health-care awareness.
The real value of the data is in the business-benefits we
can extract from the volumes of data that can avoid an impending accident,
improve critical services, catch a terrorist before they cause damage, and
proactively alert about possible issues that can or may lead to a shut-down or an
accident.
The future is not about collecting data but about how we
synthesize, reduce, visualize and amalgamate all these disparate data streams
to become self-aware, real-time, self-correlating and intelligent
administrators.
From an executive level the most critical component in the
QSA methodology is Business Benefit. This focus will eliminate redundant data, Identify true opportunities and enable the
QSA concept to evolve to every higher benefit-potential.
Elimination of redundant data is most important because in
the future world of networked and connected devices one thing we will have plenty
of is data. It is critical to realize that 99.9% of this data will be redundant.
Enterprises that focus on data collection will have over 99% of useless data, something
that should not be desirable. It is very easy to reach there without QSA planning.
Automobile Industry Example:
Modern cars have hundreds of devices onboard the car. There is more computing power
in an average car today than there was in our PC and Desktop two decade ago. Most
modern cars have over two thousand devices that collect information. Tesla is a
leading edge example of this segment. Your average Tesla talks continuously to
your dashboard smart visualization. It also recognizes engine components in real-time
and updates Tesla service administrators. Detroit is already forecasting the Google driverless cars becoming available by
2020 to 2030. These cars represent the QSA automobile that will recognize
voice-commands and hand-movement signals. The business benefit goal here is not
just to decrease accidents but to eradicate accidents altogether.
So whatever industry you are in make your strategic QSA goal
as ZERO. Zero accidents, Zero downtime, zero defective components leaving the
plant, zero collateral damage to our soldiers in a battle situation, etc.
Airline Industry Example:
Modern jet engines have hundreds of devices onboard the plane. For example, each
engine generates around 4TB of data every hour of operation from many devices.
A four engine airplane from New York to London would thus generate (4x4x8) or
128 TB of data. In a good flight, where the engines perform perfectly and there
are no issues the 128TB of data technically is redundant for each device simply
keeps stating ’I am well’. Our QSA factors come into effect when we identify
what are the kinds of things that go wrong in an engine that our devices can
track. Next we need to identify a signals tree that identifies different
signals that identify an issue of some sort. Next each issue signature needs to
be identified into a severity and criticality matrix. So the key to a QSA
methodology is that if and when there is an issue signal it gets segregated by
the self-aware algorithms and then it gets quantified as to who needs to be
alerted. For example the pilot, the on-board engineer, the next airport the
engine manufacturer, etc. Note that in this example if the total value chain has
QSA enabled manufacturing, monitoring, maintenance and support we should be
able to achieve a Zero crash rate due to engine failure in the foreseeable future.
So one way or another your competition will be heading for
the QSA environment, product, support and maintenance. Plan your QSA strategy along
with your IoE, Big Data and HANA Strategy. Just like the internet era changed the definition and existence of industries QSA will have a similar impact in the next decade.
Your QSA focus must remain razor-sharp on End-user benefits
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