A Practical Framework To Turn IoT Technology Into Operational Capability
business outcomes. This is also the starting
point for using the I2OC framework. The top
row of chevron arrows first addresses the
business requirements before defining the
technical infrastructure to achieve them.
Three basic questions are used as the basis
for establishing common objectives between
all the stakeholders: (1) What outcome do
we want, (2) what processes or business
logic will deliver that and (3) what data do
Framework to Agree on Key Business
Outcomes
The high-level business outcomes in the
I2OC framework are the basis for scoring and
agreeing on the business impact of a specific
IoT-enabled use case. It is often useful to list
a number of potential scenarios or use cases
and rank them based on their business
impact for each desired business outcome.
Figure 3 - Business Impact ranking matrix
you need for that? This approach focuses on
the problem at hand and identifies the key
data sources needed, rather than looking at
what sensors and data organizations have
and then trying to retrofit them to the
problem. This approach supports the
business viewpoint of the IIRA.
To avoid analysis paralysis 17 a simple high,
medium and low scoring methodology is
used in setting up a ranking matrix. This is
best done with the business (operations), IT
and OT representatives in a working session.
It is also useful to score the technical
feasibility (or complexity) for each scenario,
again without over-analyzing or getting into
to o much technical detail.
The I2OC framework is used to address the
three challenges of agreeing what success
looks like, how to manage complex data
integration from heterogeneous sources and
how to make it part of the day-to-day
operations in industrial organizations. The
following section describes how the
framework is used to address each of these
challenges.
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In this example, the following technical
assessment criteria is used: (1) OT
complexity, (2) IT complexity, (3) analytics,
(4) system complexity and (5) project
readiness.
OT and IT complexity, in turn, is described in
terms of availability, accuracy, latency and
https://en.wikipedia.org/wiki/Analysis_paralysis
IIC Journal of Innovation
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