Benefits Realisation Frameworks – A Useful Handle

One of the greatest challenges of project management is maintaining top-down support in the face of fluctuating priorities. If you elect to take on the role yourself and are peppered by other priorities, it can be a challenge to exactly remember why you are changing things and what your goals are. Sometimes you may not even notice you have reached your goal.

The Benefits Realisation Chart-room

The Benefits Realisation Model is a framework on which to hang key elements of any project. These traditionally include the following, although yours may not necessarily be the same:

Definition of the project goal
Quantification of intended benefits
Project plan versus actual progress
How you know you reached your goal
Quantification of actual benefits

Another way of describing Benefits Realisation Frameworks is they answer four fundamental questions that every project manager should know by heart:

What am I going to do?
How am I going to do it?
When will I know it’s done?
What exactly did I achieve?

The Benefits Realisation Promise

An astounding number of projects fail to reach completion, or miss their targets. It’s not for nothing that the expression ?after the project failed the non-participants were awarded medals? is often used in project rooms. We’re not saying that it is a panacea for success. However it can alert you to warnings that your project is beginning to falter in terms of delivering the over-arching benefits that justify the effort.

When Projects Wander Off-Target

Pinning blame on participants is pointless when project goals are flawed. For example, the goals may be entirely savings-focused and not follow through on what to do with the windfall. At other times realisation targets may be in place, but nobody appointed to recycle the benefits back into the organisation. This is why a Benefits Realisation Framework needs to look beyond the project manager?s role.

Realisation Management in Practice

If the project framework does not look beyond the project manager?s role, then it is over when it reaches its own targets ? and can even run the risk of being an event that feeds entirely off itself. In order to avoid a project being a means to its own end, this first phase must culminate with handover to a benefits realisation custodian.

An example of this might be a project to centralise facilities that is justified in terms of labour savings. The project manager?s job is to build the structure. Someone else needs to rationalise the organisation.

In conclusion, the Benefits Realisation Framework is a useful way of ensuring a project does not only achieve its internal goals, but also remains a focus of management attention because of its extended, tangible benefits.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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Proactive Preventative Maintenance: How IoT and Field Service Management Software Helps

FieldElite, our mobile workforce management software, has been key to several industries? return on investment. Whether it’s for plumbing, electrical, property management, cleaning, and maintenance, FieldElite has provided data centralisation for efficient management of these business activities.

Field service management software is important to utilise current workload, and also helps resolve future issues. We’re talking about a proactive approach to preventative maintenance.

How exactly do field service managements help in preventative maintenance?

The answer lies in how field service management is interlinked with IoT in predicting future jobs for the mobile service industry.

What is IoT?

Simply put, the Internet of Things (IoT) is a network of devices and sensors connected to the internet. These ?things? (e.g. your smartphone or smartwatch) enable data to be sent and be received without human intervention.

Fundamentally, IoT is about devices being connected to the internet to allow remote monitoring.

For many years now, remote monitoring for IT infrastructure has been widely used.

What’s new that we’re experiencing right now is even the smallest devices ? individual light bulbs and sensors ? can have a network and internet connection, allowing entire systems to be monitored in great detail.

Implementing IoT and accessing data can be challenging for most service organisations. However, when combined with predictive analytics and field management software, it can have a huge potential impact on individual businesses and the service industry as a whole.

What is Preventative Maintenance?

Preventive maintenance refers to regular, routine maintenance to help keep equipment up and running, preventing any unplanned downtime and expensive costs from unanticipated equipment failure.

The goal of preventative maintenance is to decrease the likelihood of a machine or an equipment’s failure by performing regular maintenance.

Preventative management can be very complex, especially for companies with a fleet of equipment or customers. It requires careful planning and scheduling of maintenance on equipment before there is an actual problem.

Also, preventive maintenance is evolving. It’s not just about scheduling the same work every month to prevent failure anymore. Today, working smarter with better information about equipment conditions is critical to ensure maintenance is effective.

That’s where IoT and field service management software, like FieldElite, comes in. Together, they organise and carry out preventive maintenance needs for service industries.

How IoT and FieldElite Helps in Preventative Maintenance

With FieldElite and IoT technology, you get the best in preventive maintenance management.

Evaluation of equipment or machines ? the condition of machines or equipment is evaluated in order to predict when maintenance needs to be performed.
Automated work order ? automated time-based work order creation
Full condition-based plans allows you to do the following:
- Right-size your maintenance work
- Lower costs
- Extend the life of your or customer?s assets

Quicker reporting ? due to its efficient and automated nature, IoT and field service management software can reduce a field technician?s average report time from two weeks to two days, therefore boosting your cash flow!

That’s the most important result a mobile service management software can produce (in connection with preventative maintenance). It’s cost-saving! This can be achieved over routine or time-based preventive maintenance, as tasks are only performed when they are needed.

The Internet of Things (IoT) and field service management software is changing field service as we know it.

Companies who adapt and utilise these technologies will benefit the most from the resulting competitive advantage of preventative maintenance.

Start elevating every field service experience now!

Our field service software, FieldElite helps you:

Accepts jobs in the field
Automate appointment scheduling
Manage scheduled jobs
Get real-time visibility into all operations
Have a clear and easy viewing of job locations
Resolve field service calls faster
Enable mobile workers to get the job done right
Keep customers updated at every step
Create quotations and accept payments
Analyse efficient reports from field technicians
Helps in proper preventative maintenance management.

Learn how to schedule jobs to field workers with ease. Check out FieldElite!

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We tailor a demonstration of our platform and solutions to align to your specific needs
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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.