User-Friendly RASCI Accountability Matrices

Right now, you’re probably thinking that’s a statement of opposites. Something dreamed up by a consultant to impress, or just to fill a blog page. But wait. What if I taught you to create order in procedural chaos in five minutes flat? ?Would you be interested then?

The first step is to create a story line ?

Let’s imagine five friends decide to row a boat across a river to an island. Mary is in charge and responsible for steering in the right direction. John on the other hand is going to do the rowing, while Sue who once watched a rowing competition will be on hand to give advice. James will sit up front so he can tell Mary when they have arrived. Finally Kevin is going to have a snooze but wants James to wake him up just before they reach the island.

That’s kind of hard to follow, isn’t it ?

Let’s see if we can make some sense of it with a basic RASCI diagram ?

Responsibility Matrix: Rowing to the Island
Activity	Responsible	Accountable	Supportive	Consulted	Informed
Person	John	Mary	Sue	James	Kevin
Role	Oarsman	Captain	Consultant	Navigator	Sleeper

Now let’s add a simple timeline ?

Responsibility Matrix: Rowing to the Island
?	Sue	John	Mary	James	Kevin
Gives Direction	?	?	A	?	?
Rows the Boat	?	R	?	?	?
Provides Advice	S	?	?	?	?
Announces Arrival	?	?	A	C	?
Surfaces From Sleep	?	?	?	C	I
Ties Boat to Tree	?	?	A	?	?

Things are more complicated in reality ?

Quite correct. Although if I had jumped in at the detail end I might have lost you. Here?s a more serious example.

There?s absolutely no necessity for you so examine the diagram in any detail, other to note the method is even more valuable in large, corporate environments. This one is actually a RACI diagram because there are no supportive roles (which is the way the system was originally configured).

Other varieties you may come across include PACSI (perform, accountable, control, suggest, inform), and RACI-VS that adds verifier and signatory to the original mix. There are several more you can look at Wikipedia if you like.

Check our similar posts

Data Replication

These days, not many companies can continue to operate once their entire computer system goes down. All the information needed in daily operations are stored in databases while the interfaces that make use of them all come in the form of software applications.

Software applications can be rapidly reinstalled and configured for as long as the necessary programs are available. Data, however, cannot be reconstructed as quickly even with hard copies available. It is therefore necessary to store your data in a replicated setup so that when one section goes down, operations can proceed without interruption.

For instance, if a category 5 hurricane renders your main office useless, you can simply rent workstations elsewhere, connect to the Internet and continue with your usual transactions for as long as data is readily accessible.

So how do we ensure the accessibility and reliability of your data? Here’s what we’ll do:

Activate data replication on your database management system. If your DBMS does not support replication, we’ll migrate all your data to one that does.
If absolutely necessary, we can allow modernised systems to run parallel to your legacy systems and prepare both for full modernisation when you’re ready.
Implement fail-over technologies where applicable to provide for automatic switching to a backup data server or network from one that has just failed.

We can also assist you with the following:

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!

CONTACT US

We seek to understand your technology and business challenges
We tailor a demonstration of our platform and solutions to align to your specific needs
We answer any questions and make sensible recommendations

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

Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.