What Sub-Metering did for Nissan in Tennessee

When Nissan built its motor manufacturing plant in Smyrna 30 years ago, the 5.9 million square-foot factory employing over 8,000 people was state of art. After the 2005 hurricane season sky-rocketed energy prices, the energy team looked beyond efficient lighting at the more important aspect of utility usage in the plant itself. Let’s examine how they went about sub-metering and what it gained for them.

The Nissan energy team faced three challenges as they began their study. They had a rudimentary high-level data collection system (NEMAC) that was so primitive they had to transfer the data to spread-sheets to analyse it. To compound this, the engineering staff were focused on the priority of getting cars faster through the line. Finally, they faced the daunting task of making modifications to reticulation systems without affecting manufacturing throughput. But where to start?

The energy team chose the route of collaboration with assembly and maintenance people as they began the initial phase of tracking down existing meters and detecting gaps. They installed most additional equipment during normal service outages. Exceptions were treated as minor jobs to be done when convenient. Their next step was to connect the additional meters to their ageing NEMAC, and learn how to use it properly for the first time.

Although this was a cranky solution, it had the advantage of not calling for additional funding which would have caused delays. However operations personnel were concerned that energy-saving shutdowns between shifts and over weekends could cause false starts. ?We’ve already squeezed the lemon dry,? they seemed to say. ?What makes you think there?s more to come??

The energy team had a lucky break when they stumbled into an opportunity to prove their point early into implementation. They spotted a four-hourly power consumption spike they knew was worth examining. They traced this to an air dryer that was set to cyclical operation because it lacked a dew-point sensor. The company recovered the $1,500 this cost to fix, in an amazing 6 weeks.

Suitably encouraged and now supported by the operating and maintenance departments, the Smyrna energy team expanded their project to empower operating staff to adjust production schedules to optimise energy use, and maintenance staff to detect machines that were running without output value. The ongoing savings are significant and levels of shop floor staff motivation are higher.

Let’s leave the final word to the energy team facilitator who says, ?The only disadvantage of sub-metering is that now we can’t imagine doing without it.?

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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How to Reduce Costs when Complying with SOX 404

Section 404 contains the most onerous and most costly requirements you’ll ever encounter in the Sarbanes-Oxley Act (SOX). In this article, we?ll take a closer look at the salient points of this contentious piece of legislation as it relates to IT. We?ll also explain why companies are encountering difficulties in complying with it.

Then as soon as we’ve tackled the main issues of this section and identify the pitfalls of compliance, we can then proceed with a discussion of what successful CIOs have done to eliminate those difficulties and consequently bring down their organisation’s IT compliance costs. From this post, you can glean insights that can help you plan a cost-effective way of achieving IT compliance with SOX.

SOX 404 in a nutshell

Section 404 of the Sarbanes-Oxley Act, entitled Management Assessment of Internal Controls, requires public companies covered by the Act to submit an annual report featuring an assessment of their company?s internal controls.

This ?internal control report? should state management’s responsibility in establishing/maintaining an adequate structure and a set of procedures for internal control over your company?s financial reporting processes. It should also contain an assessment of the effectiveness of those controls as of the end of your most recent fiscal year.

Because SOX also requires the public accounting firm that conducts your audit reports to attest to and report on your assessments, you can’t just make baseless claims regarding the effectiveness of your internal controls. As a matter of fact, you are mandated by both SEC and PCAOB to follow widely accepted control frameworks like COSO and COBIT. This framework will serve as a uniform guide for the internal controls you set up, the assessments you arrive at, and the attestation your external auditor reports on.

Why compliance of Section 404 is costly

Regardless which of the widely acceptable control frameworks you end up using, you will always be asked to document and test your controls. These activities can consume a considerable amount of man-hours and bring about additional expenses. Even the mere act of studying the control framework and figuring out how to align your current practices with it can be very tricky and can consume precious time; time that can be used for more productive endeavours.

Of course, there are exceptions. An organisation with highly centralised operations can experience relative ease and low costs while implementing SOX 404. But if your organisation follows a largely decentralised operation model, e.g. if you still make extensive use of spreadsheets in all your offices, then you’ll surely encounter many obstacles.

According to one survey conducted by FEI (Financial Executives International), an organisation that carried out a series of SOX-compliance-related surveys since the first year of SOX adoption, respondents with centralised operations enjoyed lower costs of compliance compared to those with decentralised operations. For example, in 2007, those with decentralised operations spent 30.1 % more for compliance than those with centralised operations.

The main reason for this disparity lies in the disorganised and complicated nature of spreadsheet systems.

Read why spreadsheets post a burden when complying with SOX and other regulations.

Unfortunately, a large number of companies still rely heavily on spreadsheets. Even those with expensive BI (Business Intelligence) systems still use spreadsheets as an ad-hoc tool for data processing and reporting.

Because compliance with Section 404 involves a significant amount of fixed costs, smaller companies tend to feel the impact more. This has been highlighted in the ?Final Report of the Advisory Committee on Smaller Public Companies? published on April 23, 2006. In that report, which can be downloaded from the official website of the US Securities and Exchange Commission, it was shown that:

  • Companies with over $5 Billion revenues spent only about 0.06% of revenues on Section 404 implementation
  • Companies with revenues between $1B – $4.9B spent about 0.16%
  • Companies with revenues between $500M – $999M spent about 0.27%
  • Companies with revenues between $100M – $499M spent about 0.53%
  • Companies with revenues less than $100M spent a whopping 2.55% on Section 404

Therefore, not only can you discern a relationship between the size of a company and the amount that the company ends up spending for SOX 404 relative to its revenues, but you can also clearly see that the unfavourable impact of Section 404 spending is considerably more pronounced in the smallest companies. Hence, the smaller the company is, the more crucial it is for that company to find ways that can bring down the costs of Section 404 implementation.

How to alleviate costs of section 404

If you recall the FEI survey mentioned earlier, it was shown that organisations with decentralised operations usually ended up spending more for SOX 404 implementation than those that had a more centralized model. Then in the ?Final Report of the Advisory Committee on Smaller Public Companies?, it was also shown that public companies with the smallest revenues suffered a similar fate.

Can we draw a line connecting those two? Does it simply mean that large spending on SOX affects two sets of companies, i.e., those that have decentralised operations and those that are small? Or can there be an even deeper implication? Might it not be possible that these two sets are actually one and the same?

From our experience, small companies are less inclined to spend on server based solutions compared to the big ones. As a result, it is within this group of small companies where you can find a proliferation of spreadsheet systems. In other words, small companies are more likely to follow a decentralised model. Spreadsheets were not designed to implement strict control features, so if you want to apply a control framework on a spreadsheet-based system, it won’t be easy.

For example, how are you going to conduct testing on every single spreadsheet cell that plays a role in financial reporting when the spreadsheets involved in the financial reporting process are distributed across different workstations in different offices in an organisation with a countrywide operation?

It’s really not a trivial problem.

Based on the FEI survey however, the big companies have already found a solution – employing a server-based system.

Typical server based systems, which of course espouse a centralised model, already come with built-in controls. If you need to modify or add more controls, then you can do so with relative ease because practically everything you need to do can be carried out in just one place.

For instance, if you need to implement high availability or perform backups, you can easily apply redundancy in a cost-effective way – e.g. through virtualisation – if you already have a server-based system. Aside from cost-savings in SOX 404 implementation, server-based systems also offer a host of other benefits. Click that link to learn more.

Not sure how to get started on a cost-effective IT compliance initiative for SOX? You might want to read our post How To Get Started With Your IT Compliance Efforts for SOX.?

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