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.

Check our similar posts

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.

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK
IT Security and the Threats from Within

When the economy makes a downturn, companies, then eventually, employees suffer. Now, I’m sure you’re wary of frustrated laid-off employees stealing valuable data. Who knows? That information might end up in the hands of your competitors. Then as if that threat weren’t enough, there may be jobless IT specialists who turn to rogue activities either to earn a quick buck or simply out of lack of anything productive to do.

That’s not all, as we’ve got more news for you. When we think of IT Security, what instantly comes to mind are hackers and acts laced with mal-intent. However, a recent worldwide survey on IT security showed organisations were more inclined to expect data leakage as a result of accidental exposure by employees (45%) than of anything maliciously performed by an external entity (15%).

If you’re not aware of this, you’ll be focusing your spending on protection against incoming attacks while exposing your innards through accidental leakages. Our solution? While we’ll naturally provide your data with protection from outside threats, we’ll also put special attention in protecting it from the inside.

The defences we’ll put up include:

  • Data Loss Prevention
  • Network Security
  • Firewalls
  • Malware
  • Authentication and Access Control
  • Mobile Security
  • Forensics
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.?

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK

Ready to work with Denizon?

Contact Us Today