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1
©Fluturasolutions2015
Engineering firms are going undergoing a fundamental
transition. In fact Flutura from its global industrial IOT
engagements in last 2 years has distilled out 6 core
transitions at play . Depending upon the vertical
(utility,heavy engineering, oil n gas) and market
(advanced / emerging) each of these transitions
have different velocities and more importantly these
transitions are irreversible. So what are the 6 key
irreversible transitions which are accelerating and
gaining momentum in the fast changing market place?
2
©Fluturasolutions2015
Looking at an an engineering product, thru the
eyes of a customer, one can differentiate a
product on the engineering dimension or the
intelligence dimension. Which provides more
headroom to impact the consumers perception of
value in the product - the intelligence or
the engineering ?
For example, the car is a classic example where
the headroom available to impact customer using
intelligence far exceeds the headroom available
to impact using engineering. Its relatively easy in
the auto industry to create customer "wow" by
providing mileage intelligence, personalised car
settings or "Onstar" like remote intelligence than
by a disruptive change to engine design
INDUSTRIAL IOT:6 KEY TRANSITIONS
3
©Fluturasolutions2015
Is the increase in data streams
matched by a corresponding
increase in revenue streams ?
For example, in building management
systems, with the decreased cost of
instrumentation of assets like boilers,
chillers , lifts etc there is going to be an
explosion in data streams. The key question
is whether these explosion in data streams
also results in an increase in revenue
stream from newer business models around
remote monitoring, predictive maintenance
etc.
INDUSTRIAL IOT:6 KEY TRANSITIONS
4
©Fluturasolutions2015
There are 2 worlds in Engineering industries
- the Operational Technology world of
SCADA/PLC/Historians and out of condition
monitoring software where ownership is
with engineering and the world of business
applications where CIO organisations own it
For example, in the oil and gas industry condition
monitoring systems and process historians record
a lot of data regarding the state of the process.
But data from operational systems like
SCADA/Historians are not "fused" and triangulated
with the rest of the IT data say from shift
management systems and employee databases or
identity management systems which tell who
operated the asset.
5
©Fluturasolutions2015
6
©Fluturasolutions2015
One of the reasons the explosion of consumer internet
was interoperability and standards. One of the main
stumbling blocks of industrial IOT is the variety of
different ways in which assets "talk" to each other.
But this is changing
For example, in the Utility industry there is OSGP
(Open Smart Grid Protocol ) whose intention is to
harmonise and speak a common energy exchange
language
Similarly in the Oil n Gas industry standards
like WITSML (Well site Information Transfer Standard
Mark-up Language) provides non proprietary
interoperability standards to exchange digitised oil
well information
7
©Fluturasolutions2015
8
©Fluturasolutions2015
9
©Fluturasolutions2015
www.flutura.com linkedin.com/company/flutura
Blog.fluturasolutions.com @fluturads 10
©Fluturasolutions2015

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Wp04 industry iot-6 key transitions

  • 2. Engineering firms are going undergoing a fundamental transition. In fact Flutura from its global industrial IOT engagements in last 2 years has distilled out 6 core transitions at play . Depending upon the vertical (utility,heavy engineering, oil n gas) and market (advanced / emerging) each of these transitions have different velocities and more importantly these transitions are irreversible. So what are the 6 key irreversible transitions which are accelerating and gaining momentum in the fast changing market place? 2 ©Fluturasolutions2015
  • 3. Looking at an an engineering product, thru the eyes of a customer, one can differentiate a product on the engineering dimension or the intelligence dimension. Which provides more headroom to impact the consumers perception of value in the product - the intelligence or the engineering ? For example, the car is a classic example where the headroom available to impact customer using intelligence far exceeds the headroom available to impact using engineering. Its relatively easy in the auto industry to create customer "wow" by providing mileage intelligence, personalised car settings or "Onstar" like remote intelligence than by a disruptive change to engine design INDUSTRIAL IOT:6 KEY TRANSITIONS 3 ©Fluturasolutions2015
  • 4. Is the increase in data streams matched by a corresponding increase in revenue streams ? For example, in building management systems, with the decreased cost of instrumentation of assets like boilers, chillers , lifts etc there is going to be an explosion in data streams. The key question is whether these explosion in data streams also results in an increase in revenue stream from newer business models around remote monitoring, predictive maintenance etc. INDUSTRIAL IOT:6 KEY TRANSITIONS 4 ©Fluturasolutions2015
  • 5. There are 2 worlds in Engineering industries - the Operational Technology world of SCADA/PLC/Historians and out of condition monitoring software where ownership is with engineering and the world of business applications where CIO organisations own it For example, in the oil and gas industry condition monitoring systems and process historians record a lot of data regarding the state of the process. But data from operational systems like SCADA/Historians are not "fused" and triangulated with the rest of the IT data say from shift management systems and employee databases or identity management systems which tell who operated the asset. 5 ©Fluturasolutions2015
  • 6. 6 ©Fluturasolutions2015 One of the reasons the explosion of consumer internet was interoperability and standards. One of the main stumbling blocks of industrial IOT is the variety of different ways in which assets "talk" to each other. But this is changing For example, in the Utility industry there is OSGP (Open Smart Grid Protocol ) whose intention is to harmonise and speak a common energy exchange language Similarly in the Oil n Gas industry standards like WITSML (Well site Information Transfer Standard Mark-up Language) provides non proprietary interoperability standards to exchange digitised oil well information