Accelerating the
Industrial Internet of Things

Your org chart destroys analytics value

Published on 03/01/2017 | Market Sizing

277 1

Erik Walenza

Accelerating the Adoption of Industrial Internet of Things.

Want analytics impact? Adopt agile.

Wondering what type of data analytics companies are investing in today? The Digital Analytics Association Germany (DAAG) recently published the Industrial Analytics Report 2016/17 based on interviews with 151 analytics decision-makers in industrial companies.

They findings were primarily confirmations of common themes - but these are valuable in themselves.   

     [1] 79% of respondents see predictive/prescriptive maintenance as the most important application in the next 3 years

     [2] Increased revenue is the biggest (anticipated) value driver for Industrial Analytics projects

    [3] Customer/Marketing analytics and visual analytics tied for the 'crowd favorite' application

But something's not right in data-land... 60% of survey respondents claimed to be good at collecting sensor data, yet only 32% feel that they are getting the RIGHT insights. 

The most common missing ingredient? Agile methodology. Iterative testing and cross-functional communication is too often missing from implementations. 

What is a use case without a business model?

Early IoT solution providers tended to opt for the 'throw s--t against a wall and see what sticks' strategy. There is a better way. 

Bosch Software Innovations has developed the

as a simple framework to transform use cases from concepts into solutions. We applaud the house's sturdy German construction. 

According to Veronika Brandt, manager of this team at Bosch Software Innovations: “Addressing IoT-specific aspects, like the intricacy of a partner ecosystem with complex value chains, is extremely important in the IoT. [...the IoT Business Model Builder] serves as a guide through the process of defining the components of the business model. Usually, the input is the formulated idea and the output is a business case.”

Data acquisition is the keystone of an IoT solution

As of February 26, IoT ONE has featured 726 case studies. For every use case we ask the author to tag 3 of 16 enabled capabilities. "Data Acquisition & Management" dominates with 58% of case studies tagging it. The runner up? "Asset Tracking & Monitoring" is tagged in 39% of cases. 

In January we mapped the data acquisition architecture of 8 case studies through interviews in our January IIoT Spotlight. Let me know if you have questions, or if you want to feature a solution in a future edition. We're always on the lookout for interesting solutions. 

Welcome to the IIoT use case formula

A few IIoT use cases such as "predictive maintenance" are becoming household names (at least in my house). But most use cases remain vaguely defined. Case in point: Demand Response Utility Management.

We are launching an initiative to standardize how we talk about use cases. First we collect all the use cases where we have proof of a real-world implementation. We then define the data, systems and goals in this simple formula backed by a deep dive explanation:


This use case uses data from a, b, c... with systems x, y, z... to achieve goals 1, 2, 3...


Think this is a great idea? Get in touch to contribute your expertise to specific use cases. Think it's a terrible idea? Let us know why and how to improve the concept! In either case you can reach me at 

Industrial IoT Thought Leadership

Jumping puddles could save mankind

- Morry Morgan, Asia-Pacific Head of Sales, H3 Dynamics Holdings

How monsoonal rainfall in a 3rd World country can help power devices in the 1st World country - with the "microelectronics mouthful known as 'piezoelectricity'."


Giving a shot in the arm to the Healthcare sector

- Thomas Yohannan, BD Management, Cisco Security

The Internet of Medical Things (IoMT) can be the game changer in Indian Healthcare by reducing human intervention and dependency. Mobile applications and digital systems can help gather insights on patients' data.


Move to zero unplanned downtime

- Thomas Leurent, CEO, Akselos

The imperative today is lean and safe life extension of existing assets. This article serves to answer the 3 How's: How to predict failure before it fails, how to prioritise maintenance needs and how to optimise inspections

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