A Definitive List of the Business Benefits of Cloud Computing – Part 2

Improves cash flow

The capital investment you put into an on-premise IT infrastructure is normally based on a long-range forecast of what your highest computing demands will be. But what if, as they often do, the estimates turn out to be too high? Then you’ll have to bear with the huge depreciation cost or monthly amortisation of a grossly underutilised asset for the next couple of years.

That’s why a cloud-based IT infrastructure is much better. With its on-demand, utility-based pricing model, cloud solutions provide companies with clearer financial visibility. You spend on something you’ve already fully utilised, not something you only hope to fully utilise in the future.

How exactly does cloud computing’s on-demand, utility-based pricing work? Well, it’s really very similar to the way you pay for electricity. Let me give you an example. In Amazon’s EC2 cloud offering, consumers are billed on what they call a per instance-hour basis.

Meaning, if some of your servers aren’t needed at night and only need to run 10 hours a day, then you can stop those server instances when the day is done. When you receive your bill, ?you’ll be charged the cost of only 10 hours per day x the number of days those servers were operational.

The advantages of OPEX-based IT spending gets even better when we start talking about businesses that experience sudden spikes or seasonal spikes in consumer demand as in the case of retail, marketing, logistics and others. If you’re running any of these businesses and the demand shoots up ?say during the Christmas season, you can readily scale up your servers, memory, storage, and other computing resources to the required capacity. Then when the season ends and demand goes back to normal, you can just as easily release those resources that are no longer needed.

demand and capacity - cloud infrastructure

Compare that with a traditional IT infrastructure wherein you’d have to predict the highest possible computing demand for the next Christmas season and then build an infrastructure that can satisfy it. During the high months, your infrastructure may come out fully utilised. But what about the rest of the year after that?

demand and capacity - traditional IT infrastructure

Since cloud services are delivered and consumed on-demand, you’ll have more cash on hand than if you had invested in an on-premise IT infrastructure. That means more money to finance other operating expenses or other endeavors like Business Intelligence and analytics, marketing projects, sales incentives, IT innovations, store or office expansions, and many others.

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EcoVaro ? ESOS Solution on a Cloud

The UK?s Energy Saving Opportunity Scheme ? and all others in the EU stable – is bound to generate huge quantities of data beyond the reach of processing on standalone computers. This leaves some companies in the mandatory sector between a rock and a hard place. They already have to divert scarce talent to draft compliance reports. Now they face purchasing equipment with big data processing power.

The more astute are turning to cloud computing solutions like EcoVaro in increasing numbers. They are also keen to benefit from remote secure backup. .

Increasing migration to public clouds has caused a growth in niche big data consultants. EcoVaro is one of these. We want to do more than simply open up a port and leave you to become familiar with our technology. We service a growing group of companies who want us to analyse their energy usage reports, and isolate the main demand drivers so they know where to start saving.

We are consumer-centric energy consultants with the emphasis on corporates and sme?s. We offer more than just big data processing facilities. We also help set up your dashboard and are full of practical ideas you can use to start trimming energy costs right away. So please treat us as your affordable energy partner who really wants to help.

Finally, contact EcoVaro for a discussion.

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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

Find out more about our Quality Assurance services in the following pages:

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.

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