The mouse and the cheese

Who hasn’t ever played the game of drawing a line from the mouse to the cheese though a seemingly impossible maze? Do you still remember the trick? Spoiler, don’t start at the mouse but begin at the cheese. Start with the end result in mind.

Running a transformation journey in business isn’t any different. True, the end point may be a moving target, but still to a major extent your journey is defined by a business objective.

Why am I bringing up this topic? At the Field Service News Live Symposium in Birmingham, UK we had a lot of conversations on AI. If AI is the cheese, then the technician is the mouse. We know that no matter how much technology we deploy, as long as we live in a world of physical objects, ultimately somebody will need to hold the ‘wrench’.

Technician of the year

That ‘somebody’ who is holding the wrench is Jack Ogden. Jack works for Beckman Coulter. Jack was awarded technician-of-the-year by Field Service News. For me Jack and all the other Jacks are the true heroes in the service domain. They keep the world running. They are the heroes on site. To be successful they need the right tools, correct information and empowerment to perform their ‘magic’ in the face of ever more demanding asset owners. What do we give them? State-of-the-art field service management tooling? AI?

A different planet

Now picture yourself having toasted to Jack yesterday evening and today you are engaged in an AI conversation with a group of service executives. Have we landed on a different planet? I can’t shed the feeling there is a gulf of space between day-to-day service operations and the AI discussion. Echoing the words from Rajat Kakar, it feels like a maze separating the mouse from the cheese.

Paradigm shift

Don’t get me wrong. As much as I comprehend the world of Jack, the cheese is real too. I do believe AI has a substantial potential in the service domain. Though I may not have a comprehensive understanding of what AI means, the fact that during the service lifecycle massive amounts of data are generated, I can imagine that deep learning and mining tools can lead to better and optmised decision making. 

And when I focus on decision making, service executives and Jack are not so different. In a recent ride along I did, the focus was on having reliable asset data. To be more efficient and proactive. The sheer amount of assets and the long lifecycle makes it practically impossible for humans to consume the data and to prepare for each eventuality. Tribal knowledge and experience drove historical service execution. Todays ambition for this company is to empower every service employee make informed decisions.

We want to move from ‘assumed’ to ‘informed’

Navigating the maze

When we were children we found joy in navigating[1] the maze. Through trial and error we ultimately found a strategy. In business the stakes are a little higher. Still, there is a lot of trail and error with new technology adoption. But we can be smart at it when we have the cheese in mind.

With AI we don’t want to repeat the same ‘mistake’ a lot of companies made with big data. Big investments resulting in unused[2]data lakes. An example of starting at the mouse and uncertain where the cheese is. If forementioned ride along is exemplary, we can define the cheese as the business desire to facilitate informed decision making over assumed decision making. Thus the path through the maze become much clearer. 

Making an impact with asset data

AI has the capability to convert huge amounts of data into ‘intelligence’. The quality of intelligence is based on what you feed into the algorythm. Simple rule: garbage in, garbage out (GiGo). Before you start you have to be very conscious about your data. Illustrated by a failed AI implementation at Amazon. When you use historical data to teach the algorithm, beware that the decisions made by AI will be a compound of all bias and mistakes made in the past.This brings me back to Jack. If Jack wants to make an impact, he needs asset data. If the volume of asset data is big, it would be a great help to Jack if AI could make suggestions. Not decisions, but suggestions … because ultimately it is Jack who is holding the wrench.


[1] For the mathmeticians amongst us, have a look at Trémaux’s algorithm.

[2] According to Forrester “between 60% and 73% of all data within an enterprise goes unused for analytics”. InsideBIGDATA asks the proverbial question “are data lakes just dumping grounds?”

Managing Service Profitability in the Age of Digital Transformation

Co-author: Joe Kenny

It is an age-old dilemma for Operations Managers. Your CEO wants XX% revenue growth, your CFO wants XX% cost reduction, your CRO wants better references and higher NPS scores, and you are supposed to deliver all of this with zero additional investment, because – of course – you have been doing this for years with no additional cash, so why would you need it now?

To top all of this off, you had very little idea of where you stood, operationally or financially, at any given time. And this was due to the fact that access to real-time data, a current view into work in process, and accurate financial information was all impossible to come by.

Historical Challenges for Service Operations

I often speak at conferences and participate in webinars, and I often relate this anecdote – in March I would lay out my operational plan, based on the most recent P&L statement I had received (January’s), intending to address performance weaknesses I had uncovered. My team would execute the plan and in May I would receive my March P&L to see if the response to January’s performance shortfalls were successful or not. It was madness.

Now, layer onto that, the fact that 30, 60, 90-day invoicing accruals were also Operation’s responsibility, even though we had an AP department. This process greatly impacted both revenue and cost, as the cost of service was consumed, but the associated revenue may not have arrived in 90 days.

Impact of Digital Transformation

Fast forward to today, and service operations managers have been given a lifeline—digital transformation. Digital transformation can be like a light switch, illuminating what is happening in real time, allowing service operations leaders to adapt to circumstances immediately. They can reallocate precious resources instantly, validate payment status and credit status prior to service delivery, and see and understand the impact of operational plans in real time.

Digital asset and service management platforms can provide real-time performance measurements, both foundational and top line. This includes data round first-time fix rate, mean time to repair, mean time between failures, and equipment uptime. With this data, operations managers can organize and drive for peak utilization of labor resources while ensuring that the training and quality of work are optimal. This then increases the efficiency of their organization and lowers the cost to deliver excellent service.

With today’s technology, service operations are finally on par with our commercial partners and can see and act on upsell, cross sell, renewals, and service contract extensions instantaneously. In addition, we can support sales by identifying and helping them target competitors’ equipment for targeted replacement. We are the eyes of the commercial team on the customer’s location.

Newfound Financial Control

Utilizing a digital solution allows for real-time tracking of labor, parts consumed, travel, and any other costs associated with a service call, regardless of whether it is a T&M call or in support of a warranty/service contract entitlement. This is a key advantage that enables service operations leaders to manage labor and parts expenses far more granularly. In addition, they can evaluate the revenue associated with the service provided to validate if the pricing is correct based on their revenue and margin targets.

This ability to understand the Cost to Serve on an asset or entitlement agreement in real time is a huge step forward for service operations. It gives them the data they need to truly align entitlement pricing, cost control, operational efficiency, and productivity to accurately manage and forecast their performance and address fundamental issues that are obstacles to achieving their own performance objectives.

The evolution of equipment and asset service management platforms has greatly assisted service operations professionals in attaining the insight, visibility, and control that their commercial and financial counterparts have enjoyed for decades. As asset and equipment maintenance and service becomes a larger part of most organizations’ revenue and margin contributions, it is important that they equip teams with the technology that enables them to better manage and control their operations.

This article is published in ServiceMax Field Service Digital on November 2nd, 2021 and Field Service News on October 19th, 2021.