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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How Small Irish Businesses Avoid the GDPR Sting

Accountants providing chartered accounting services and tax advice are alerting smaller Irish companies to the consequences of the pending General Data Protection Regulation (GDPR). They believe these are going to feel the most pain come 25 May 2018, if they do not implement GDPR by then. We are trying our best to help avoid this situation by providing advice.

How to Kick the GDPR Ball into Play

The Irish Information Commissioner?s Office has produced a toolkit regarding where?s best to start. They suggest beginning with an information security assessment to determine the gaps companies need to close. Once quantified, this leads naturally to a plan of action, and resources needed to fulfil it. Here?s how to go about it:

1. Start by assessing your current ability to identify, assess, and manage threats to customer data security. Have you done anything at all to date? You must be holding some customer information surely, and it is highly likely the GDPR applies to you.

2. Next, review your company?s current customer data security policies. Are they documented and approved, or do new employees discover them sitting next to Nellie? Rate yourself on a scale where ten is successful implementation.

3. Now consider how well you have pinned responsibilities on individuals to implement policies and take the lead on GDPR. The latter should be the business owner, or a board member with clout to make things happen.

4. By now, you should have a grasp of the scale of work ahead of you, remembering the EU deadline is 25 May 2018. If this sounds overwhelming, consider outsourcing to your accountant or a specialist provider.

5. Under the General Data Protection Regulation you have only 72 hours to report a breach of customer data security to the Information Commissioner?s Office. Do you have a quality assurance mechanism to oversee this?

Tangible Things to Bring Your Own People on Board

With all the changes going on, there is a risk of your employees regarding GDPR as ?another management idea going nowhere.? Thus, it is important to incorporate the new EU regulations in staff training, particularly with regard to data security generally. They may fully come on board only once they see tangible signs of progress. You should in any case put the following measures in place unless you already have them:

1. A secure area for your servers and for any paperwork your customers provided. This implies access control on a need-to-know basis to protect the information against loss, damage, and theft.

2. A protocol for storage media and record disposal when you no longer require them or something supersedes them. You are the custodian of other people?s information and they deserve nothing less.

3. Procedures to secure customer data on employee mobile devices and computers: This must extend to work done at home, at consultant sites, and by remote workers.

4. Secure configuration of all existing and new hardware to minimise vulnerability and storage media crashes. These quality assurance measures should extend to removable media and remote backups.

So Is This the Worst of the Pain?

We are at the heart of the matter, although there is more to tell in future articles. You may be almost there, if you already protect your proprietary information. If not, you may have key company information already open to malware.We should welcome the EU General Data Protection Regulation as a notice that it is time to face up to the challenges of data protection and security generally. The age of hacking and malware is upon us. The offender could be a disgruntled employee, or your competition just down the street. It is time to take precautions.

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The Connection Between Six Sigma and CRM

Six Sigma is an industrial business strategy directed at improving the quality of process outputs by eliminating errors and system variables. The end objective is to achieve a state where 99.99966% of events are likely to be defect free. This would yield a statistical rating of Sigma 6 hence the name.

The process itself is thankfully more user-friendly. It presents a model for evaluating and improving customer relationships based on data provided by an automated customer relations management (CRM) system. However in the nature of human interaction we doubt the 99.99966% is practically achievable.

Six Sigma Fundamentals

The basic tenets of the business doctrine and the features that set off are generally accepted to be the following:

  1. Continuous improvement is essential for success
  1. Business processes can be measured and improved
  1. Top down commitment is fundamental to sustained improvement
  1. Claims of progress must be quantifiable and yield financial benefits
  1. Management must lead with enthusiasm and passion
  1. Verifiable data is a non-negotiable (no guessing)

Steps Towards the Goal

The five basic steps in Six Sigma are define the system, measure key aspects, analyse the relevant data, improve the method, and control the process to sustain improvements. There are a number of variations to this DMAIC model, however it serves the purpose of this article. To create a bridge across to customer relationships management let us assume our CRM data has thrown out a report that average service times in our fast food chicken outlets are as follows.

<2 Minutes 3 to 8 Minutes 9 to 10 Minutes >10 Minutes
45% 30% 20% 5%
Table: Servicing Tickets in Chippy?s Chicken Caf?s

Using DMAIC to unravel the reasons behind this might proceed as follows

  • Define the system in order to understand the process. How are customers prioritised up front, and does the back of store follow suit?
  • Break the system up into manageable process chunks. How long should each take on average? Where are bottlenecks most likely to occur?
  • Analyse the ticket servicing data by store, by time of day, by time of week and by season. Does the type of food ordered have a bearing?
  • Examine all these variables carefully. Should there for example be separate queues for fast and slower orders, are there some recipes needing rejigging
  • Set a goal of 90% of tickets serviced within 8 minutes. Monitor progress carefully. Relate this to individual store profitability. Provide recognition.

Conclusion

A symbiotic relation between CRM and a process improvement system can provide a powerful vehicle for evidencing customer care and providing feedback through measurable results. Denizon has contributed to many strategically important systems.?

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Knowing the Caveats in Cloud Computing

Cloud computing has become such a buzzword in business circles today that many organisations both small and large, are quick to jump on the cloud bandwagon – sometimes a little too hastily.

Yes, the benefits of the cloud are numerous: reduced infrastructure costs, improved performance, faster time-to-market, capability to develop more applications, lower IT staff expenses; you get the picture. But contrary to what many may be expecting or have been led to believe, cloud computing is not without its share of drawbacks, especially for smaller organisations who have limited knowledge to go on with.

So before businesses move to the cloud, it pays to learn a little more about the caveats that could meet them along the way. Here are some tips to getting started with cloud computing as a small business consumer.

Know your cloud. As with anything else, knowledge is always key. Because it is a relatively new tool in IT, it’s not surprising that there is some confusion about the term cloud computing among many business owners and even CIOs. According to the document The NIST Definition of Cloud Computing, cloud computing has five essential characteristics, three basic service models (Saas, Paas and Iaas), and four deployment models (public, community, private and hybrid).

The first thing organisations should do is make a review of their operations and evaluate if they really need a cloud service. If they would indeed benefit from cloud computing, the next steps would be deciding on the service model that would best fit the organisation and choosing the right cloud service provider. These factors are particularly important when you consider data security and compliance issues.

Read the fine print. Before entering into a contract with a cloud provider, businesses should first ensure that the responsibilities for both parties are well-defined, and if the cloud vendor has the vital mechanisms in place for contingency measures. For instance, how does the provider intend to carry out backup and data retrieval operations? Is there assurance that the business’ critical data and systems will be accessible at all times? And if not, how soon can the data be available in case of a temporary shutdown of the cloud?

Also, what if either the company or the cloud provider stops operations or goes bankrupt? It should be clear from the get go that the data remains the sole property of the consumer or company subscribing to the cloud.

As you can see, there are various concerns that need to be addressed closely before any agreement is finalised. While these details are usually found in the Service Level Agreements (SLAs) of most outsourcing and servicing contracts, unfortunately, the same cannot be said of cloud contracts.

Be aware of possible unforeseen costs. The ability of smaller companies to avail of computing resources on a scalable, pay-as-you-go model is one of the biggest selling points of cloud computing. But there’s also an inherent risk here: the possibility of runaway costs. Rather than allowing significant cost savings, small businesses could end up with a bill that’s bound to blow a big hole in their budget.

Take for example the case of a software company cited on InformationWeek.com to illustrate this point. The 250-server cluster the company rented from a cloud provider was inadvertently left turned on by the testing team over the weekend. As a result, their usual $2,300 bill ballooned to a whopping $23,400 over the course of one weekend.

Of course, in all likelihood, this isn’t going to happen to every small and midsize enterprise that shifts to the cloud. However, this should alert business owners, finance executives, and CEOs to look beyond the perceived savings and identify potential sources of unexpected costs. What may start as a fixed rate scheme for on-demand computing resources, may end up becoming a complex pricing puzzle as the needs of the business grow, or simply because of human error as the example above shows.

The caveats we’ve listed here are among the most crucial ones that soon-to-be cloud adopters need to keep in mind. But should these be reasons enough for businesses to stop pursuing a cloud strategy? Most definitely not. Armed with the right information, cloud computing is still the fastest and most effective way for many small enterprises to get the business off the ground with the lowest start-up costs.

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