Spotlight on the Industrial IoT Analytics Framework
media, finance and retail to name a few, but
less has been done in determining the
special requirements of the industrial
domain. Historically, the majority of
industrial applications have been narrowly
defined around a singular purpose or piece
of equipment with few keeping pace with
the latest technology innovations.
challenges compared to the traditional
business analytics and so requires special
considerations
in
its
design
and
implementation. Since industrial analytics is
in its early stage of development, much
needs to be explored. The Industrial IoT
Analytics Framework is intended to
encourage discussions and research, and
speed up the development and maturity of
this indispensable technology.
P UBLICATION OF THE F RAMEWORK
Industrial analytics has unique challenges
because the results can alter the operation
and introduce vulnerability to things in the
physical world. These effects may be
undesirable or harmful, inadvertently
affecting the safety of people or damaging
property and the environment. Moreover,
because industrial analytics often interpret
data from different sensors and machines
that may conflict with one another, we need
to understand and synthesize the diverse
information streams to reach a correct
conclusion.
Table
1identifies
the
requirements to consider when planning for
industrial analytics.
The Industrial IoT Analytics Framework is the
first document to survey the requirements
for implementing IIoT applications enabled
by industrial analytics, such as those with
predictive and prescriptive capabilities that
will have a major impact on the industries.
As a fledgling discipline combining advances
in mathematics, computer science and
engineering in the context of Information
Technologies
(IT)
and
Operational
Technologies (OT) convergence, industrial
analytics plays a crucial rule in the success of
any IIoT system. Industrial analytics has
unique requirements, characteristics and
IIC Journal of Innovation
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