Virtualisation

Using an IT solution that can provide the fastest (but still reliable) disaster recovery process is essential for the success of any business continuity plan. Although virtualisation is still considered leading edge technology by many business continuity specialists, it definitely brings a promise that, once fulfilled, can result in the cheapest, fastest, and most comprehensive solution for business continuity.

One great advantage of virtualisation over traditional BC (Business Continuity) methods is the relatively cheaper cost needed to achieve a certain level of business continuity assurance. Thus, more companies will find it easier to reach their required minimum for BC assurance. By contrast, some BCPs (Business Continuity Plan) based on a physical environment require companies to invest more than what they are willing to in order to reach the same minimum level of assurance.

Virtual machines, which can already encapsulate your operating systems and their corresponding applications, can be transported as a file from one machine running a compatible hypervisor to another. This makes the business continuity tasks of backup, replication, and restoration simpler and faster.

As of 2008, about 54% of IT professionals in Europe were willing to implement virtualisation within a maximum of two years. Furthermore, the expected compound annual growth rate of installed virtualised servers from 2008 to 2012 is already pegged at 33%.

If you want your organisation to take advantage of the benefits of this revolutionary technology, we’d be more than willing to help you discover what it can do for you. Then once you decide to make that transition to virtualisation, we can guide you every step of the way.

  • As not all applications are suited for virtualisation (e.g. some are too demanding on I/O and memory access), we’ll start by reviewing your entire IT system to see which portions can be implemented on a virtualized environment.
  • Using virtualisation and replication, we can conduct disaster recovery tests using up-to-date data without interrupting operations in your main IT site. Running these tests will increase your team’s preparedness and will allow you to discover possible weak points.
  • Provide a simple but comprehensive protection and backup system that encapsulates not only data, but also system configurations and application installations. This kind of setup allows for faster and easier disaster recovery operations. Because of these same characteristics, you can enjoy zero downtime while performing scheduled maintenance operations.
  • Since virtual machines are hardware-independent and transparent to operating systems, we can help you run a mix of legacy and new systems as well as open source and proprietary systems, allowing for more flexibility in your BCP budgeting.

We can also assist you with the following:

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ESOS ? Why we must have it

The 9,000 big UK businesses directly affected by the new Energy Saving Opportunity Scheme could save UK?250 million between them, or an average UK?27,000 each, if they reduced electricity consumption by just 1%. The total amount is equal to the output of five power stations, at a time when Britain?s grid is under strain.
On 26 November 2014, UK Energy and Climate Change Secretary Ed Davey met with over 100 opinion makers from businesses, charities and universities at the Institute of Directors. The gist of what he presented was:

  • ?Britain?s big firms are spending around ?2.8 billion extra each year on inefficient energy technologies ? the equivalent output of nearly five power stations;
  • Now is the time to seize the opportunity with ESOS ? and organisations up and down the country are already gearing up to make changes to save energy, save money and save the environment.
  • If business did what business is supposed to do [that is innovate to make money] and act and invest, it will save ? and that’s the bottom line.?

The environmental benefits are as important although EcoVaro agrees with Ed Davey for taking a pecuniary approach. Businesses above the threshold of 250 staff and a balance sheet of UK?34 million would have not achieved their status unless they spent their money wisely.
The discussion panel included Rhian Kelly (Director of Business Environment at CBI), and Paul Ekins (Director UCL Institute for Sustainable Resources & Deputy Director of the UK Energy Research Centre). Hugh Jones, Managing Director, Advisory at the Carbon Trust responded to Ed Davey?s remarks by commenting:

  • ?At the Carbon Trust we have already engaged with hundreds of businesses on ESOS, helping to explain how they can achieve compliance while also making significant energy savings and cutting carbon.
  • Businesses often aren’t aware of opportunities in energy efficiency, or they don’t realise how attractive the paybacks can be. By requiring companies to understand exactly how they can make cost-effective investment in energy efficiency, they are far more likely to take action.
  • From the interest we have seen so far we expect ESOS to benefit British business by helping companies to reduce overheads and increase competitiveness.

The UK?s Energy Saving Opportunity Scheme ESOS is a gold mine of opportunities for big business, the environment and the population that breathes the air. Measurement of critical energy throughputs is the beginning of the process. EcoVaro is standing by to help you convert your data to meaningful information.

Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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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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