The journey to managed enterprise IoT


Posted on: March 16, 2018 by Paul Albada Jelgersma

Are you achieving the business benefits that you could?

A lot has been said about the data-driven economy we live in and its effects on the people, processes, places and products of all businesses, but how many companies actually use their data efficiently? Every organisation should not only be driven by data or the Internet of Things (IoT – a term we will use to cover gathering, processing and extracting value from data), but also ensure that it delivers measureable outcomes into their core business processes. Few can claim to be at this level of maturity and, if you are not one of them, our overview of the journey to managed enterprise IoT can help put you on the right path.

A true data-driven strategy can deliver benefits that range from tightly integrating customer care into product usage and performance to being able to remotely monitor and improve product (or service) performance to enabling new revenue streams.

We can divide the journey towards Managed enterprise IoT into three levels of maturity (that will be further explained with their own separate blogs) including the six sequential activities shown in the picture below:

  1. Enabling the use case: exploring and solving business operational problems in minimum time to value with easily understandable business impact on people, process, places and products.
    • Benefits: Project – Business operations managing each use case
  1. Beyond the use case: ensuring predictability for delivering value – i.e. high quality (from fewer errors), resiliency (higher availability and stability) and security.
    • Benefits: Program / Portfolio – Business operations across all use cases
  1. Managed Enterprise IoT: simplifying the complexity of IoT, which is now business critical, to be both agile and predictable as well as being proactive, prescriptive and automated to deliver positive and measurable benefits for your whole enterprise.
    • Benefits: Enterprise – IoT underpins whole business

Businesses are made up of people, processes, places, and products which need to create value – the fundamentals of business that have not changed with a data-driven economy.  As businesses derive more and more of their revenue from data (and IoT), they are required to resolve its inherent challenges – enabling business value, managing the quantity of things and data, dealing with the complexity of the ecosystem and reducing security and privacy risks.

This is critical to enabling benefits for companies, to their customers, shareholders and the wider data-driven economy – the outcome of Managed enterprise IoT. Rather than taking big leaps from one maturity level to another, put in place a roadmap at the start of your journey to Managed enterprise IoT (particularly as forward planning will save lots of time and effort later).

The companies I work with often ask, “Should we manufacture a solution in-house or purchase it from an external supplier?” These are my high level recommendations:

  • Nothing exists in a bubble; consider your long term strategy and competencies (taking into account value and performance). Approximately, core ones should be made, marginal bought, supporting could be either – core is defined as high value and high performance, marginal as low and low respectively.
  • Do not think that you can only make or buy; you can customize a solution that fits your needs.
  • Build a level of extraction (i.e. non-native) above the layer at which you buy; this will enable you to commoditize everything below it, to future proof and ensure cost reductions and quality improvements.
  • Open source gives you access to a larger pool of innovation and can be a low cost way to experiment (enterprise versions offer greater predictability).

In my next post, I will explain the 1st level of maturity of this journey towards Managed enterprise IoT: ‘Enabling the use case’.

 

I would like to add a special thanks to Philip Griffiths (@ThePGriffiths). Philip was until recently, the strategic partner manager for the IoT practice and took the initiative to write this blog-series you are reading now.

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About Paul Albada Jelgersma

Global Head Atos IoT Solutions and member of the Scientific Community
Paul has over 30 years of experience in running IT and business programs; including managing large teams of IT and other professionals. Paul is a founding member of the Atos Scientific Community. In his day job, he focusses on developing and delivering Internet of Things Solutions for our customers. Paul likes to work with Virtual Teams in the new way of work. He dislikes email as a chat and document-management tool. He occasionally writes articles and publishes at his own blog. Paul is married and has 2 children. He lives near Amsterdam, The Netherlands. He likes to travel, moderate hiking and watch Netflix series.

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