All Enterprises Are Not the Same
One of the tenets of Digital
As Usual (DAU) is that most businesses are not pure play digital
organisations. In almost all cases there are operations and activities which are
essential to either fulfilling service or delivering a product which need to be
managed as well. The Digital Adoption Framework assumes an Industry
Categorisation Model as illustrated below.
The Industry Categorisation Model
identifies 5 Categories along a continuum of Industry Product Nature. At one
end of the continuum are “pure play” digital organisations, whose products are
Information and Content based. These consist of Market Platforms like eBay and
Compare the Markets.com who provide a platform, through which other
organisations and people sell their goods and services, as well as Publishers and
Providers of Content who provide videos, e-books, podcasts, news, music etc. At
the other end are Extractor and Grower type businesses, such as coal mines and
cocoa growers who provide natural unprocessed products. Off course not all
businesses fall neatly into just one category. A major energy company such as
Shell or Exon may straddle several categories along an Upstream (exploration,
drilling and extraction) to Downstream (transport, refining and distribution)
activities.
So why is this important when
thinking about digital businesses? Well each different type of business
operates in different ways, has a different level of dependency on capital assets
and has different opportunities for exploiting digital technology to augment
its business model. Additionally, the whole concept of Lean Delivery via Design Thinking, Agile Delivery and DevOps
may have different opportunities and constraints as well as nature of delivery in
each category.
Some Examples of Exploitation
The diagram below looks at the
potential for exploiting Artificial Intelligence (AI)
technologies according to Industry Category.
The “X”s in the table represent
significant opportunity for exploitation against a generic type of Use Case. So
for example AI technologies (machine learning, visual recognition, natural
language etc.) can be used to provide insight and learning in every type of
organisation, but there is very little opportunity for them to add to “customer
experience” in say mining or farming. Again there is huge potential to build AI
capabilities into consumer products, e.g. Alexa in Amazon’s Echo, but there is
little opportunity to enhance a product such as iron ore or tree trunks
produced from a Natural Product Extractor or a Grower.
Alternatively for IoT, see diagram
below, the opportunities are pretty limited for an Information publisher, but
there are many areas where a farmer could use it to track livestock and monitor
soil conditions and crop conditions, as well as control assets such as vehicles
and trailer equipment.
This moves us onto exploiting
iterative approaches within an organisation. The other night I was talking to
someone from a major pharmaceutical company. Drugs take years of research to identify
promising candidates for a problem and to test for efficacy and safety, as well
as meet regulatory demands. There is little opportunity to exploit Iteration in
this type of product development. But for the company overall, there are
opportunities around internal processes and with Agile Marketing.
Agile Marketing is a growing area
of adoption within industry and works well for consumer driven businesses. At
its core is the use of small integrated product teams which focus on market
research, product promotion, delivery of marketing and promotional materials,
advertising and the information analysis systems used to support marketing data
analysis. These teams tend to work in multiple sprints testing out marketing
promotion hypotheses and rapidly identifying which approaches produce optimal
results, to improve overall revenues.
Iterative development also its
quite different for delivering an oil tanker or a film, to the development used
to support a consumer service. In the case of the former, iterative design,
development and continuous testing techniques are used to deliver a single integrated
complex product over a period spanning many months if not years. In the latter
they are used not just to deliver the product, but to continuously keep it
fresh, up to date and moving ahead of competition that is playing catch up.
So it's important not to adopt a one sized fits all approach, but to really get down to what can work for your organisation. This is part of what I talk about in my book.
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