Cloud Computing Trends: Where is the Cloud Headed Next?

Cloud adoption has been quick and painless at the consumer level. For instance, everyone’s on Gmail, YouTube, Facebook and Twitter on a daily basis yet most think nothing of the fact that they’re already using cloud-based services. Small businesses have also discovered how cloud solutions have raised efficiency in the workplace up a notch or two, while also bringing about significant cost savings. Cloud applications, particularly those for communication, file sharing, office software, backup and storage, and customer management, have rapidly grown in usage among SMBs.

In the same manner, large corporations are starting to see the potential of moving some of their IT department, whether its infrastructure or network management, to the cloud. By all indications it would seem that whether we are ready for it or not, cloud computing technology is here for the long haul.

So where is the cloud headed to next? In this post we examine the trends in the world of cloud computing and what likely lies in store in the near future for cloud users.

Focus on Security

Security has always been a key concern in the cloud computing industry and this will not go away anytime soon. If anything, data security in the cloud will only get to be in the limelight even more as cloud adopters grow in number. That’s why we expect professional cloud services providers to start implementing measures that will help slowly build up confidence in cloud security.

We should soon see more advanced security techniques and protocols that would increase the overall level of privacy and protection for cloud-stored information. Tighter security for login encryptions and prevention of unauthorized access are priority although there are a lot more issues that may need to be addressed. Now it remains to be seen whether these moves are enough for corporate clients to put their full trust in the cloud. But then again, they can always find ways to stay secure while making use of cloud computing where they can, which brings us to the next cloud trend.

Hybrid Approach

Large businesses are taking a longer time to get used to and actually use cloud services, and understandably so. After all, these companies have more at stake when it comes to dealing with such valid issues as security, compliance, outages, legacy systems, and more. However, they also cannot ignore the very appealing characteristics of the cloud. For big companies that have substantial IT needs, scalability, business agility, and faster deployment are listed as the biggest draws of the cloud.

This is why analysts predict that as as these businesses look toward leveraging the benefits of the cloud while at the same time maintaining control over mission critical data and systems, the use of a hybrid approach, i.e. putting some services in a public and at the same time opting to utilize a private cloud for other applications, will see enormous growth.

Mobile Cloud Computing

The BYOD or Bring Your Own Device business policy is another emerging trend that would not have been possible if not for cloud technology. This practice involves having employees bring their mobile devices to work, allowing them to access company files, data, and applications from their personally-owned gadgets in and out of the workplace.

As with any new business practice, the concept of BYOD can be both advantageous and disadvantageous. On the one hand, some believe it helps increase employee productivity and lifts their morale, while reducing overall IT costs. On the other hand, BYOD also opens up a whole new set of problems that are quite consistent with what many businesses take issue with with cloud technology: security. Do the pros outweigh the cons or vice versa? This much isn’t clear yet but what is evident is that more cloud apps are going mobile.

Efficiency, Innovation

While cost savings has always been one benefit that cloud proponents are quick to point out, its capability to improve and streamline business processes, thereby increasing efficiency and agility within the organization, is another key opportunity that the cloud offers. This is evident when you take a look at the most commonly used cloud services: backup and archiving, business continuity, collaboration tools, and big data processing.

Moreover, the cloud is making it easier for individuals to create new products and produce new lines of business. With access to higher IT capacity at lesser cost and at faster deployment rates, businesses can scale into more innovation without having to worry about the availability of computing resources.

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Why DevOps Matters: Things You Need to Know

DevOps creates an agile relationship between system development and operating departments, so the two collaborate in providing results that are technically effective, and work well for customers and users. This is an improvement over the traditional model where development delivers a complete design ? and then spends weeks and even months afterwards, fixing client side problems that should never have occurred.
Writing for Tech Radar Nigel Wilson explains why it is important to roll out innovation quickly to leverage advantage. This implies the need for a flexible organisation capable of thinking on its feet and forming matrix-based project teams to ensure that development is reliable and cost effective.
Skirmishes in Boardrooms
This cooperative approach runs counter to traditional silo thinking, where Operations does not understand Development, while Development treats the former as problem children. This is a natural outcome of team-centred psychology. It is also the reason why different functions pull up drawbridges at the entrance to their silos. This situation needs managing before it corrodes organization effectiveness. DevOps aims to cut through this spider web of conflict and produce faster results.

The Seeds of Collaboration

Social and personal relationships work best when the strengths of each party compensate the deficiencies of the other. In the case of development and operations, development lacks full understanding of the daily practicalities operating staff face. Conversely, operations lacks ? and should lack knowledge of the nuances of digital automation, for the very reason it is not their business.
DevOps straddles the gap between these silos by building bridges towards a co-operative way of thinking, in which matrix-teams work together to define a problem, translate it into needs and spec the system to resolve these. It is more a culture than a method. Behavioural change naturally leads to contiguous delivery and ongoing deployment. Needless to say only the very best need apply for the roles of client representative, functional tester and developer lead.

Is DevOps Worth the Pain of Change?

Breaking down silos encroaches on individual managers? turf. We should only automate to improve quality and save money. These savings often distil into organisational change. The matrix team may find itself in the middle of a catfight. Despite the pain associated with change resistance, DevOps more than pays its way in terms of benefits gained. We close by considering what these advantages are.

An Agile Matrix Structure ? Technical innovation is happening at a blistering rate. The IT industry can no longer afford to churn out inferior designs that take longer to fix than to create. We cannot afford to allow office politics to stand in the way of progress. Silos and team builds are custodians of routine and that does not sit well with development.

An Integrated Organization ? DevOps not only delivers operational systems faster through contiguous testing. It also creates an environment whereby cross-border teams work together towards achieving a shared objective. When development understands the challenges that operations faces ? and operations understands the technical limiters – a new perspective emerges of ?we are in this together?.

The Final Word ? With understanding of human dynamics pocketed, a DevOps project may be easier to commission than you first think. The traditional way of doing development – and the waterfall delivery at the end is akin to a two-phase production line, in which liaison is the weakest link and loss of quality inevitable.

DevOps avoids this risk by having parties work side-by-side. We need them both to produce the desired results. This is least until robotics takes over and there is no longer a human element in play.

Spreadsheet Fraud

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.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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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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