To any company executive or business owner, the mere possibility of fraud can be enough to send alarm bells ringing – for good reason. In a prolonged recession, the last thing investors would want to discover is a huge, gaping hole where supposedly a neat profit should have been. Also to find out that such loss was brought about by deliberately falsified accounting and poor spreadsheet controls only makes the situation even more regrettable.
Why?
Because these losses would not have occurred had there been a stronger risk management program in place and more stringent quality control on critical data to begin with.
But given the nature of a spreadsheet system i.e. its sheer flexibility and easy accessibility, plus the fact that they were never intended to be enterprise-level tools, there are no hard and fast rules for auditing spreadsheets. Also because of the lack of internal controls for end user computing (EUC) applications, in this case spreadsheets, you can’t expect these systems to yield consistently accurate results.
In fact, most managers assume that major spreadsheet errors should result in figures that are blatantly out of touch with how things stand in the real world, making these errors easily detectable.
Well they assumed wrong. You’ll find cases where the losses ran to millions of dollars without anyone being the wiser.
In instances of fraud, the problem becomes more complicated as these errors are deliberately hidden and cleverly disguised, perhaps one erroneous cell at a time. Even if these cover-ups started out with smaller figures that may have had negligible impact on a company?s operation, the cumulative costs of these ?insignificant? errors multiply exponentially as the spreadsheets are reused and utilised as bases for other related reports.
While there is no generally accepted definition of the term ?spreadsheet fraud?, its quite easy to identify one when a case crops up. Fraud arising from spreadsheets are typically characterised by:
Fallacious inputs – correct figures are deliberately replaced with false values.
Erroneous outputs owing to data alteration – hyperlinks are linking to the wrong spreadsheets or cells; use of macros or special lines of code which are understandable only to the person who developed the code.
Concealment of critical information – can be done with easy ?tweaks? such as hidden rows and columns, using the same colour for both the font and the background, or hard coding additional values into a cell.
There is nothing really highly-sophisticated or technical in any of these methodologies. But without internal spreadsheet controls in place, it would take a discerning eye and a thorough review to catch the inconsistencies contained in a spreadsheet fraught with errors. Also, if these errors are knowingly placed there, the chances of finding them are close to nil.
Learn more about our server application solutions and discover a better way to protect your company from spreadsheet fraud.
There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.
In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.
This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.
Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.
He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.
While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.
He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.
Regular maintenance is needed to keep the equipment in your facility operating normally. All machinery has a design lifespan, and your goal is to extend this as long as possible, while maintaining optimal production levels. How you go about the maintenance matters, from routine checks to repairing the damaged component parts?all before the whole unit needs to be tossed away and a new one purchased and installed. Here, we will break down the different approaches used, and show you why more industries and businesses are turning to proactive maintenance modes as opposed to the traditional reactive approaches for their?field service operations.?
Reactive Maintenance: A wait and see game
Here, you basically wait for a problem to occur, then fix it. It’s also commonly referred to as a “Run-to-Failure” approach, where you operate the machines and systems until they break. Repairs are then carried out, restoring it to operational condition.?
At face value, it appears cost-effective, but the reality on the ground is far much different. Sure, when the equipment is new, you can expect minimal cases of maintenance. During this time, there?ll be money saved. However, as time progresses there?ll be increased wear, making reliance on a reactive maintenance approach a costly endeavour. The breakdowns are more frequent, and inconsistent as well. Unplanned expenses increase operational costs, and there will be lost productivity during the periods in which the affected machinery won’t be in operation.?
While reactive maintenance makes sense when you’re changing a faulty light bulb at home, things are more complicated when it comes to dealing with machinery in industries, or for those managing multiple residential and commercial properties. For the light bulb, it’s easier to replace it, and failure doesn’t have a ripple effect on the rest of the structures in the household. For industries, each time there is equipment failure, you end up with downtime, production can grind to a halt, and there will be increased environmental risks during equipment start-up and shutdown. If spare parts are not readily available, there will be logistical hurdles as you rush the shipping to get the component parts to the facility. Add this to overworked clients in a bit to complete the repair and to make up for lost hours and delayed customer orders.
For field service companies, more time ends up being spent. After all, there?s the need of knowing which parts needed to be attended to, where they are, and when the servicing is required. Even when you have a planned-out schedule, emergency repairs that are required will force you to immediately make changes. These ramps up the cots, affecting your operations and leading to higher bills for your client. These inconveniences have contributed to the increased reliance on?field service management platforms that leverage on data analytics and IoT to reduce the repair costs, optimise maintenance schedules, and?reduce unnecessary downtimes?for the clients.
Waiting for the machinery to break down actually shortens the lifespan of the unit, leading to more replacements being required. Since the machinery is expected to get damaged much sooner, you also need to have a large inventory of spare parts. What’s more, the damages that result will be likely to necessitate more extensive repairs that would have been needed if the machinery had not been run to failure.?
Pros of reactive maintenance
Less staff required.
Less time is spent on preparation.
Cons of reactive maintenance
Increased downtime during machine failure.
More overtime is taken up when conducting repairs.
Increased expenses for purchasing and storing spare parts.?
Frequent equipment replacement, driving up costs.?
This ?If it ain’t broke, don’t fix it? approach leads to hefty repair and replacement bills. A different maintenance strategy is required to minimise costs. Proactive models come into focus. Before we delve into predictive maintenance, let’s look at the preventive approach.?
Preventive Maintenance: Sticking to a timetable
Here, maintenance tasks are carried out on a planned routine?like how you change your vehicle?s engine oil after hitting a specific number of kilometres. These tasks are planned in intervals, based on specific triggers?like a period of time, or when certain thresholds are recorded by the meters. Lubrication, carrying out filter changes, and the like will result in the equipment operating more efficiently for a longer duration of time. While it doesn’t completely stop catastrophic failures from occurring, it does reduce the number of failures that occur. This translates to capital savings.??
The Middle Ground? Merits And Demerits Of Preventive Maintenance
This periodic checking is a step above the reactive maintenance, given that it increases the lifespan of the asset, and makes it more reliable. It also leads to a reduced downtime, thus positively affecting your company?s productivity. Usually, an 80/20 approach is adopted,?drawing from Pareto’s Principle. This means that by spending 80% of time and effort on planned and preventive maintenance, then reactive maintenance for those unexpected failures that pop up will only occur 20% of the time. Sure, it doesn’t always come to an exact 80/20 ratio, but it does help in directing the maintenance efforts of a company, and reducing the expenses that go into it.?
Note that there will need to be a significant investment?especially of time, in order to plan a preventive maintenance strategy, plus the preparation and delegation of tasks. However, the efforts are more cost effective than waiting for your systems and machinery to fail in order to conduct repairs. In fact, according to the US Dept. of Energy, a company can save between 12-18 % when using a preventive maintenance approach compared to reactive maintenance.
While it is better than the purely reactive approach, there are still drawbacks to this process. For instance, asset failure will still be likely to occur, and there will be the aspect of time and resource wastage when performing unneeded maintenance, especially when technicians have to travel to different sites out in the field. There is also the risk of incidental damage to machine components when the unneeded checks and repairs are being carried out, leading to extra costs being incurred.
We can now up the ante with predictive maintenance. Let’s look at what it has to offer:
Predictive Maintenance: See it before it happens
This builds on preventive maintenance, using data analytics to smooth the process, reduce wastage, and make it more cost effective. Here, the maintenance is conducted by relying on trends observed using data collected from the equipment in question, such as through vibration analysis, energy consumption, oil analysis and thermal imaging. This data is then taken through predictive algorithms that show trends and point out when the equipment will need maintenance. You get to see unhealthy trends like excessive vibration of the equipment, decreasing fuel efficiency, lubrication degradation, and their impact on your production capacities. Before the conditions breach the predetermined parameters of the equipment’s normal operating standards, the affected equipment is repaired or the damaged components replaced.??
Basically, maintenance is scheduled before operational or mechanical conditions demand it. Damage to equipment can be prevented by attending to the affected parts after observing a decrease in performance at the onset?instead of waiting for the damage to be extensive?which would have resulted in system failure. Using?data-driven?field service job management software will help you to automate your work and optimise schedules, informing you about possible future failures.
Sensors used record the condition of the equipment in real time. This information is then analysed, showing the current and future operational capabilities of the equipment. System degradation is detected quickly, and steps can be taken to rectify it before further deterioration occurs. This approach optimises operational efficiency. Firstly, it drastically reduces total equipment failure?coming close to eliminating it, extending the lifespan of the machinery and slashing replacement costs. You can have an orderly timetable for your maintenance sessions, and buy the equipment needed for the repairs. Speaking of which, this approach minimises inventory especially with regards to the spare parts, as you will be able to note the specific units needed beforehand and plan for them, instead of casting a wide net and stockpiling spare parts for repairs that may or may not be required. Repair tasks can be more accurately scheduled, minimising time wasted on unneeded maintenance.??
Preventive vs Predictive Maintenance?
How is predictive different from preventive maintenance? For starters, it bases the need for maintenance on the actual condition of the equipment, instead of a predetermined schedule. Take the oil-change on cars for instance. With the preventive model, the oil may be changed after every 5000?7500 km. Here, this change is necessitated because of the runtime. One doesn’t look at the performance capability and actual condition of the oil. It is simply changed because “it is now time to change it“. However, with the predictive maintenance approach, the car owner would ideally analyse the condition of the oil at regular intervals- looking at aspects like its lubrication properties. They would then determine if they can continue using the same oil, and extend the duration required before the next oil change, like by another 3000 kilometres. Perhaps due to the conditions in which the car had been driven, or environmental concerns, the oil may be required to be changed much sooner in order to protect the component parts with fresh new lubricant. In the long run, the car owner will make savings. The US Dept. of Energy report also shows that you get 8-12% more cost savings with the predictive approach compared to relying on preventive maintenance programs. Certainly, it is already far much more effective compared to the reactive model.?
Pros of Predictive Maintenance
Increases the asset lifespan.
Decreases equipment downtime.
Decreases costs on spare parts and labour.
Improves worker safety, which has the welcome benefit of increasing employee morale.
Optimising the operation of the equipment used leads to energy savings.
Increased plant reliability.
Cons of Predictive Maintenance
Initial capital costs included in acquiring and setting up diagnostic equipment.
Investment required in training the employees to effectively use the predictive maintenance technology adopted by the company.
The pros of this approach outweigh the cons.?Independent surveys on industrial average savings?after implementing a predictive maintenance program showed that firms eliminated asset breakdown by 70-75%, boosted production by 20-25%, and reduced maintenance costs by 25-30%. Its ROI was an average of 10 times, making it a worthy investment.
For many people within the UK, water is not really something to worry about. Surely enough of it falls out the sky throughout the year that it does feel highly unlikely that we?ll ever run out of it. There certainly does seem to be an abundance of Branded Water available in plastic bottles on our supermarket shelves.
Water, water, every where, And all the boards did shrink; Water, water, every where, Nor any drop to drink.
Despite this, Once-unthinkable water crises are becoming commonplace. If you consider that In England and Wales, we use 16 billion litres of clean drinking water every day ? that’s equivalent to 6,400 Olympic sized swimming pools.
Currently, water companies can provide slightly more than we need ? 2 billion litres are available above and beyond what we’re using. In some areas, though, such as south east England, there is no surplus and, as such, these regions are more likely to face supply restrictions in a dry year.
If we take little moment to reflect on some of the most notable water related stories over the past few years, we’ll start to get a picture of just how real the potential and the threat of water shortages can be.
Reservoirs in Chennai, India?s sixth-largest city, are nearly dry right now. Last year, residents of Cape Town, South Africa narrowly avoided their own Day Zero water shut-off.
It was only year before that, Rome rationed water to conserve scarce resources.
Climate change is likely to mean higher temperatures which may drive up the demand for water (alongside population growth) and increase evaporation from reservoirs and water courses during spring and summer.
The impact of climate change on total rainfall is uncertain, but the rain that does fall is likely to arrive in heavier bursts in winter and summer. Heavier rain tends to flow off land more quickly into rivers and out to sea, rather than recharging groundwater aquifers.
A greater chance of prolonged dry periods is also conceivable. This combined with the harsh reality that no human population can sustain itself without sufficient access to fresh water.
If present conditions continue, 2 out of 3 people on Earth will live within a water-stressed zone by 2025
What is water stress?
Water stress is a term used to describe situation when demand for water is greater than the amount of water available at a certain period in time, and also when water is of poor quality and this restricts its usage. Water stress means deterioration in both the quantity of available water and the quality of available water due to factors affecting available water.
Water stress refers to the ability, or lack thereof, to meet human and ecological demand for water. Compared to scarcity, water stress is a more inclusive and broader concept.
Water Stress considers several physical aspects related to water resources, including water scarcity, but also water quality, environmental flows, and the accessibility of water.
Supply and Demand
Major factors involved when water scarcity strikes is when a growing populations demand for water exceeds the areas ability to service that need.
Increased food production and development programs also lead to increased demand for water, which ultimately leads to water stress.
Increased need for agricultural irrigation in order to produce more crops or sustain livestock are major contributors to localised water stress.
Overconsumption
The demand for water in a given population is fairly unpredictable. Primarily, based on the fact that you can never accurately predict human behaviour and changes in climate.
If too many people are consuming more water than they need because they mistakenly believe that water is freely available and plentiful, then water stress could eventually occur.
This is also linked to perceived economic prosperity of a give region. Manufacturing demand for water can have huge impact regardless whether water is actively used within the manufacturing process or not.
Water Quality
Water quality in any given area is never static. Water stress could happen as a result of rising pollution levels having a direct impact on water quality.
Water contamination happens when new industries either knowingly or unknowingly contaminate water with their industrial practices.
Largely, this can happen and frequently does so because these industries do not take effective control of monitoring and managing their impact on communal water supplies. Incorrectly assuming this is the responsibility of an additional third party like the regional water company.
The truth is, water quality and careful monitoring of it is all of our responsibility.
Water Scarcity
Simple increases in demand for water can in itself contribute to water scarcity. However, these are often preceded by other factors like poverty or just the natural scarcity of water in the area.
In many instances, the initial locations of towns or cities were not influenced by the close proximity of natural resources like water, but rather in pursuit of the extraction of other resources like Gold, Coal or Diamonds.
For Instance, Johannesburg, South Africa is the largest City in South Africa and is one of the 50 largest urban areas in the world. It is also located in the mineral rich Witwatersrand range of hills and is the centre of large-scale gold and diamond trade.
Johannesburg is also one of the only major cities of the world that was not built on a river or harbour. However, it does have streams that contribute to two of Southern Africas mightiest rivers – Limpopo and the Orange rivers. However, most of the springs from which many of these streams emanate are now covered in concrete!
Water Stress and Agriculture
Peter Buss, co-founder of Sentek Technology calls ground moisture a water bank and manufactures ground sensors to interrogate it. His hometown of Adelaide is in one of the driest states in Australia. This makes monitoring soil water even more critical, if agriculture is to continue. Sentek has been helping farmers deliver optimum amounts of water since 1992.
The analogy of a water bank is interesting. Agriculturists must ?bank? water for less-than-rainy days instead of squeezing the last drop. They need a stream of real-time data and utilize cloud-based storage and processing power to curate it.
Sentek?s technology can be found in remote places like Peru?s Atacamba desert and the mountains of Mongolia, where it supports sustainable floriculture, forestry, horticulture, pastures, row crops and viticulture through precise delivery of scarce water.
This relies on precision measurement using a variety of drill and drop probes with sensors fixed at 4? / 10cm increments along multiples of 12? / 30cm up to 4 times. These probe soil moisture, soil temperature and soil salinity, and are readily repositioned to other locations as crops rotate.
Peter Buss is convinced that measurement is a means to an end and only the beginning. ?Too often, growers start watering when plants don’t really need it, wasting water, energy, and labour. By accurately monitoring water can be saved until when the plant really needs it.
Peter also emphasises that crop is the ultimate sensor, and that ?we should ask the plant what it needs?.
This takes the debate a stage further. Water wise farmers should plant water-wise crops, not try to close the stable door after the horse has bolted and dry years return.
The South Australia government thinks the answer also lies in correct farm dam management. It wants farmers to build ones that allow sufficient water to bypass in order to sustain the natural environment too.
There is more to water management than squeezing the last drop. Soil moisture goes beyond measuring for profit. It is about farming sustainably using data from sensors to guide us.
Ecovaro is ahead of the curve as we explore imaginative ways to exploit the data these provide for the common good of all.
A Quarter of the World?s Population, Face High Water Stress
Data from WRI?s Aqueduct tools reveal that 17 countries? home to one-quarter of the world?s population?face ?extremely high? levels of baseline water stress, where irrigated agriculture, industries and municipalities withdraw more than 80% of their available supply on average every year.
Water stress poses serious threats to human lives, livelihoods and business stability. It’s poised to worsen unless countries act: Population growth, socioeconomic development and urbanization are increasing water demands, while climate change can make precipitation and demand more variable.
How to manage water stress
Water stress is just one dimension of water security. However, like any challenge, its outlook depends on adequate monitoring and management of environmental data.
Even countries with relatively high water stress have effectively secured their water supplies through proper management by leveraging the knowledge they have garnered by learning from the data they gathered.
3 ways to help reduce water stress
In any geography, water stress can be reduced by measures ranging from common sense to innovative technology solutions.
There are countless solutions, but here are three of the most straightforward:
1. Increase agricultural efficiency: The world needs to make every drop of water go further in its food systems. Farmers can use seeds that require less water and improve their irrigation techniques by using precision watering rather than flooding their fields.
Businesses need to increase investments to improve water productivity, while engineers develop technologies that improve efficiency in agriculture.
2. Invest in grey and green infrastructure: D Data produced by Aqueduct Alliance – shows that water stress can vary tremendously over the year. WRI and the World Bank?s researchshows that built infrastructure (like pipes and treatment plants) and green infrastructure (like wetlands and healthy watersheds) can work in tandem to tackle issues of both water supply and water quality.
3. Treat, reuse and recycle: We need to stop thinking of wastewater as waste.
Treating and reusing it creates a ?new? water source.
There are also useful resources in wastewater that can be harvested to help lower water treatment costs. For example, plants in Xiangyang, China and Washington, D.C. reuse or sell the energy- and nutrient-rich byproducts captured during wastewater treatment.
Summary
The data is undeniably clear, there are very worrying trends in water.
Businesses and other other organisations need to start taking action now and investing in better monitoring and management, we can solve water issues for the good of people, economies and the planet. We collectively cannot kick this can down the road any further, or assume that this problem will be solved by others.
It is time, for a collective sense of responsibility and for everyone to invest in future prosperity of our Planet as a collective whole. Ecological preservation should be at the forefront of all business plans because at the end of the day profit is meaningless without an environment to enjoy it in!
