What is work force management?

For organisations to ensure they provide the right service.  In order to do they need to assign the right employees with the right skills to the right job at the right time to meet demand.

Workforce Management Background

Workforce management (WFM) is a strategy used by companies to increase their efficiency and performance. It entails all activities aimed at maintaining a steady output, such as human resource management, forecasting, field service management, budgeting, scheduling, performance and training management, analytics, recruitment and data collection.

Workforce management utilizes a unique set of performance enhancing tools and software to bolster corporate management, workers, and other categories of managers and supervisors in the manufacturing team, distribution, transportation, and retail operators. This is sometimes called HRM systems, or part of ERP systems, or workforce asset management.

Unlike the conventional outlay that only needed staff scheduling to improve time management, workforce management is now all-inclusive and demand-oriented to optimize staff scheduling. Apart from focusing on demand-orientation and optimization, workforce management also incorporates:

  • Estimating the workload and resource utilisation
  • Job scheduling
  • Management of working times and accounts
  • Monitoring the process of workforce management

Each task should be clearly defined and performed efficiently based on set engineering standards and methods of optimizing each task as much as possible. Out of this framework and demand based forecasts, workers are scheduled and given tasks, performance measured, give feedback, and incentives computed and paid.

Workforce management is an entire scheme aimed at building the capacity of workers, increase productivity and client relations, and where possible reduce labour costs.

What is Mobile Workforce Management (MWM)

Mobile workforce management (MWM) is a software-based service used to oversee employees outside of the institution?s premises; MWM sometimes refers to the field teams. Mobile workforce management encompasses all activities done to monitor and schedule the field workforce.

The entire process includes procurement, management and using mobile devices, applications and computer software. Related support services like tracking, logging, dispatch, productivity management, and other types of communication are also to make it efficient.

Companies do not have the same needs and MWM firms need to fine-tune their software and devices to sufficiently bridge this gap. Some providers are suited only to a specific type of company because of specialization, like managing the electric grid. This experience makes the MWM company suited to provide applications that are relevant to the company for them to continue operating smoothly and efficiently.

With the increase in mobile devices, applications, secured wireless networks and virtual desktop, there comes a stream of opportunities for small and medium-sized businesses (SMB) and other ventures. Nevertheless, a mobile workforce needs better controls, security and support, as well as a functioning mobile workforce management strategy.

MMS (managed mobility services) is often used interchangeably with MWM, but they should not be confused. MWM is related to software and applications used by mobile and computer devices to manage on-field work while MMS focuses on enterprises, and is like a way of keeping in touch with the company, other employees, and linking the mobile while at work to servers and the database.

Benefits of Mobile Workforce Management

MWM allows the utilization of technology to drive productivity. Here are the top five advantages of MWM..

  1. Customer focused. The customer is the backbone of any business. The team needs to keep in touch with up-to-date information about every interaction. In the end, better client relation makes sure that the customer is always happy.
  2. Information has the power to build or destroy. A cloud-based system is easier to manage and can help with collection of data which is used to make business decisions. This can help cut costs, increase the workforce support, and identify areas where polishing needs to be done.
  3. Improved efficiency. Mobile workforce management is majorly used in taskforce allocation. If the company adopts a cloud-based work force management system, allocation is done automatically saving a lot of time.
  4. Increased revenue. Each business seeks to maximize the profit. With cloud-based mobile workforce management some operations like task management, data analysis, customer communication, reporting, and performance monitoring can be automated. This reduces the costs incurred for multiple applications and saves time.
  5. Ease of communication. Communication is vital. Constant communication with customers drives sales rates and everyone loves that. Quick communication will help customers solve their problems faster and get instant feedback.

Additional WFM benefits

 Other WFM benefits are:

  • Operations are made efficient as all complex processes are automated.
  • Employers learn more about worker engagement, productivity and attendance, allowing them to modify training, coaching and processes aimed at streamlining performance.
  • Automation and easy manipulation of data to improve HR, productivity and slash administrative costs.
  • It increases employee productivity by reducing absenteeism and late arrivals.
  • Boosts the morale of employees by encouraging transparency and facilitating manager-employee communication.
  • WFM analyzes market and schedule requirements to pick the right employee with the best set of skills for a certain task.

Companies which embrace workforce management and mobile workforce management have a higher operational efficiency. They have lower operational costs and limit manual work as much as possible

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What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

The General Data Protection Regulation & The Duty to use Encryption

The General Data Protection Regulation, abbreviated to GDPR, raised a storm when it arrived. In reality, it merely tightened up on existing good practice according to digital security specialists Gemalto. The right to withhold consent and to be forgotten has always been there, for example. However, the GDPR brings a free enforcement service for consumers, thus avoiding the need for third party, paid assistance.

The GDPR Bottom Lines for Data Security
Moreover, the GDPR has penalties it can apply, of the order that might have a judge choking on his wig. Under it, data security measures such as pseudonymisation (substitution of identifying fields) and encryption (encoding including password protection) have become mandatory. Businesses must further respect their client data by:

a) Storing it in a secure environment supported by robust services and systems

b) Having proven measures to restore availability and access after a breach

c) Being able to prove frequent effectiveness testing of these measures.

The General Data Protection Regulation places an onus on businesses to report any data breaches. This places us in a difficult situation. We must either face at least a wrist slap upon reporting failures. Alternatively, pay a fine of up to ?10 million, or 2% of total worldwide annual turnover.

The Engineered Weak Link in the System
Our greatest threat of breach is probably when the data leaves our secure environment, and travels across cyberspace to an employee, stakeholder, collaborator, or the client themselves. Since email became open to attack, businesses and individuals have turned to sharing platforms like Dropbox, Google Drive, Skydrive, and so on. While these do allow an additional layer of password protection, none of these has proved foolproof. The GDPR may still fine us heavily, whether or not we are to blame for the actual breach.

How Hacking is Approaching Being a Science
We may make a mistake we may regret, if we do not take hacking seriously. The 10 worst data hacks Identity Force lists are proof positive that spending lots of money does not guarantee security (any more than having the biggest stock of nuclear weapons). We have to be smart, and start thinking the way that hackers do.

Hacker heaven is finding an Experian or a Dun & Bradstreet that may have shielded 143 million, and 33 million consumer records respectively, behind a single, flimsy cyber-security door. Ignorance is no excuse for them. They should simply have known better. They should have rendered consumer data unreadable at individual record level. The hackers could have found this too demanding to unpick, and have looked elsewhere.

How Data Encryption Can Help Prevent Hackers Succeeding
Encrypting data is dashboard driven, and businesses need not concern themselves about it works. There are, however, a few basic decisions they must take:

a) Purge the database of all information held without explicit permission

b) Challenge the need for the remaining data and purge the nice-to-haves

c) Adopt a policy of encrypting access at business and customer interfaces

d) Register with three freemium encryption services that seem acceptable

e) After experimenting, sign up for a premium service and be prepared to pay

Factors to Consider When Reaching a Decision
Life Hacker?suggests the following criteria although the list is a one-size-fits-all

a) Is the system fast, simple, and easy to operate

b) Can you encrypt hidden volumes within volumes

c) Can you mass-encrypt a batch of files easily

d) Do all other files remain encrypted when you open one

e) Do files automatically re-encrypt when you close them

f) How confident are you with the vendor, on a scale of 1 to 10

It may be wise to encrypt all the files on your system, and not just your customer data. We are always open to a hack by the competition after our strategic planning. If we leave the decision up to IT, then IT, being human may take the easy way out, and encrypt as little as possible.

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