Welcome!

Big Data Journal Authors: Elizabeth White, Adrian Bridgwater, Liz McMillan, Kevin Benedict, Pat Romanski

Related Topics: IoT Expo, Java, Linux, Cloud Expo, Security, Big Data Journal

IoT Expo: Article

Code Halos - Tracking the Mobile Workforce, Equipment & Other Variables

There are many different objects and variables that can impact the performance of a mobile workforce

I write and speak often on the need to have a thoughtful Code Halo strategy in addition to your mobile and digital strategies. Code Halos is the term for the information that surrounds people, organizations, and devices. Many companies consider Code Halostrategies only for marketing, sales and customer service, but a well thought out Code Halo strategy for work done in the field like maintenance, repairs, asset management, construction and engineering is also important. Let me try to make the case here.

There are many different objects and variables that can impact the performance of a mobile workforce, especially in the services industry. In my enterprise mobility workshops I call these things PIOs (performance impact objects), and PIVs (performance impact variables).

Examples of PIOs:

  • People
  • Parts/Supplies/Materials
  • Tools
  • Job locations
  • Equipment (and availability)
  • Transportation (and availability)
  • Vendor (and availability)
  • Subcontractor (and availability)
  • Jobsite access
  • Permits/Approvals

Examples of PIVs:

  • Schedules (dependencies)
  • Qualifications
  • Skills
  • Experience
  • Weather
  • Traffic
  • Condition of equipment repair/maintenance
  • Sickness/Health
  • Funding

Each of these items must come together at the right time and right place to optimize the performance of a field service technician. I think of PIOs and PIVs in the context of building the first transcontinental railroad in 1869. In order to be completed and functioning, all the PIOs/PIVs had to come together at the right physical place and time. If pieces were missing, or misaligned the entire system was delayed or fails.

In an ideal world, we would have full situational awareness.  All of the data from each PIO and PIV would be instantly available to our management system so predictive analytics and artificial intelligence could align all the variables for optimized service delivery.  Full situational awareness does not happen by accident.  It requires a great deal of strategy, planning and execution.

All of the PIOs and PIVs need to be tracked and monitored. Sensors (IoT), GPS vehicle tracking and smartphones all play an important role here. The data that is needed to make right decisions, either by a human decision maker or an artificial intelligence system needs to be collected, and as data has a shelf-life, it needs to be timely. Those on the Titanic knew they were in trouble, but only when it was too late to prevent the trouble. They would have appreciated good information a few minutes earlier.

Let me provide a scenario for consideration. A customer calls in and requires repairs to a specialized, expensive piece of equipment. The repair requires specialized training and skills, certifications, special parts, special tools and experience. Knowing just the schedules and locations of your field service technicians is not good enough. You need to know information concerning each PIO and PIV. In order to optimally provide service to your customer, you need to know and monitor all relevant information, and since most field services teams are mobile, that means mobile technology and wireless sensors must be integrated with as many PIOs and PIVs systems as possible in order to provide the necessary data and visibility to maximize productivity.

When PIOs and PIVs are all connected via a shared network that provides visibility to network members it is called a Network Centric Operation. A full network centric operational environment may not be economically feasible for 25 service technicians, but for 25,000 service technicians yes.

If you have an available field service technician without the right experience or qualifications, then that doesn't help. If you have a qualified, experienced and available field services technician, but without the right tools, equipment, parts or their location is too distant to be of service, then that also doesn't help.

PIOs/PIVs are most often not in one location for easy management. They are located in many different locations and accessed via many different systems. Enterprise mobility, sensors, connectivity, integration, dashboards, dynamic scheduling, HCM (human capital management), GPS tracking and event/project management, predictive analytics and artificial intelligence are all required to bring all of these pieces, data and variables together to provide optimal productivity. Ideally these would be brought together under a considered Code Halo strategy for collecting, analyzing and using data to optimize productivity.

************************************

Kevin Benedict
Writer, Speaker, Editor
Senior Analyst, Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Browse the Mobile Solution Directory
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies
Recommended Strategy Book Code Halos
Recommended iPad App Code Halos for iPads

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

More Stories By Kevin Benedict

Kevin Benedict is the Senior Analyst for Digital Transformation at Cognizant, a writer, speaker and SAP Mentor Alumnus. Follow him on Twitter @krbenedict. He is a popular speaker around the world on the topic of digital transformation and enterprise mobility. He maintains a busy schedule researching, writing and speaking at events in North America, Asia and Europe. He has over 25 years of experience working in the enterprise IT solutions industry.

Latest Stories from Big Data Journal
Goodness there is a lot of talk about cloud computing. This ‘talk and chatter’ is part of the problem, i.e., we look at it, we prod it and we might even test it out – but do we get down to practical implementation, deployment and (if you happen to be a fan of the term) actual cloud ‘rollout’ today? Cloud offers the promise of a new era they say – and a new style of IT at that. But this again is the problem and we know that cloud can only deliver on the promises it makes if it is part of a well...
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, B...
Cisco on Wedesday announced its intent to acquire privately held Metacloud. Based in Pasadena, Calif., Metacloud deploys and operates private clouds for global organizations with a unique OpenStack-as-a-Service model that delivers and remotely operates production-ready private clouds in a customer's data center. Metacloud's OpenStack-based cloud platform will accelerate Cisco's strategy to build the world's largest global Intercloud, a network of clouds, together with key partners to address cu...
I write and study often on the subject of digital transformation - the digital transformation of industries, markets, products, business models, etc. In brief, digital transformation is about the impact that collected and analyzed data can have when used to enhance business processes and workflows. If Amazon knows your preferences for particular books and films based upon captured data, then they can apply analytics to predict related books and films that you may like. This improves sales. T...
Technology is enabling a new approach to collecting and using data. This approach, commonly referred to as the “Internet of Things” (IoT), enables businesses to use real-time data from all sorts of things including machines, devices and sensors to make better decisions, improve customer service, and lower the risk in the creation of new revenue opportunities. In his session at Internet of @ThingsExpo, Dave Wagstaff, Vice President and Chief Architect at BSQUARE Corporation, will discuss the real...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is n...
When one expects instantaneous response from video generated on the internet, lots of invisible problems have to be overcome. In his session at 6th Big Data Expo®, Tom Paquin, EVP and Chief Technology Officer at OnLive, to discuss how to overcome these problems. A Silicon Valley veteran, Tom Paquin provides vision, expertise and leadership to the technology research and development effort at OnLive as EVP and Chief Technology Officer. With more than 20 years of management experience at lead...
BlueData aims to “democratize Big Data” with its launch of EPIC Enterprise, which it calls “the industry’s first Big Data software to enable enterprises to create a self-service cloud experience on premise.” This self-service private cloud allows enterprises to create 100-node Hadoop and Spark clusters in less than 10 minutes. The company is also offering a Community Edition via free download. We had a few questions for BlueData CEO Kumar Sreekanti about all this, and here's what he had to s...
Labor market analytics firm Wanted Analytics recently assessed the market for technology professionals and found that demand for people with proficient levels of Hadoop expertise had skyrocketed by around 33% since last year – it is true, Hadoop is hard technology to master and the labor market is not exactly flooded with an over-abundance of skilled practitioners. Hadoop has been called a foundational technology, rather than ‘just’ a database by some commentators – this almost pushes it towards...
The cloud provides an easy onramp to building and deploying Big Data solutions. Transitioning from initial deployment to large-scale, highly performant operations may not be as easy. In his session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, will discuss the benefits, weaknesses, and performance characteristics of public and bare metal cloud deployments that can help you make the right decisions.