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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ESOS Guide for UK Manufacturers Available

The Engineering Employers’ Federation (EEF) is the UK’s largest sectoral structure. Its goal is to promote the interests of manufacturing, engineering and technology-based businesses in order to enhance their competitiveness.

EEF has positioned itself in London and Brussels in order to be in a position to lobby at EU and Westminster level. Part of its role is helping its members adapt to change and capitalise on it. When it discovered that a third of UK manufacturers must comply with ESOS (and 49% had not even heard of it) EEF decided it was time to publish a handbook for its members.

According to EEF’s head of climate and environment policy Gareth Stace, For the many manufacturers that have already taken significant steps to improve energy efficiency, ESOS can be viewed as a ?stock taking exercise?, ensuring that momentum is maintained and new measures are highlighted and taken when possible?.

He goes on to add that others that have not begun the process should view it as an ‘impetus’ to go head down and find the most cost-effective ways to slash energy costs. Ecovaro adds that they would also have the opportunity to reduce carbon emissions almost as a by-product.

Firms with more than 250 employees, over 250 million revenue or both must comply with ESOS across all UK sectors. In simplest terms, they must have conducted an energy audit by 5th December 2015, and logged their energy saving plan with the Environmental Agency that is Britain?s sustainability watchdog.

The Department of Energy & Climate Change (DEEC) that oversees it believes that large UK businesses are wasting ?2.8 billion a year on electricity they do not need. Clearly it makes sense to focus on larger targets; however EcoVaro believes those halfway to the threshold should voluntarily comply if cutting their energy bills by 25% sounds appealing.

We are able to assist with interpreting their energy audits. These are often a matter of installing sub-meters at distribution points, and reading these for a few representative months to establish a trend. Meters are inexpensive compared to electricity costs, and maintenance teams can install them during maintenance shutdowns.

Ecovaro helps these firms process the data into manageable summaries using cloud-based technology. This is on a pay-when-used basis, and hence considerably cheaper than acquiring the software, or appointing a consultant.

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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A Business Case for Sharing

We blogged about sharing services in a decentralised business context recently, and explained why we think why these should be IT-Based for speedy delivery. This is not to say that all shared services projects worldwide have been resounding successes. This is often down to the lack of a solid business case up front. We decided to lay out the logic behind this process.

Management Overview ? The overview includes a clear definition of why the current situation is unacceptable, the anticipated benefits of sharing, and an implementation plan were it to go ahead. The project should not proceed until the stakeholders have considered and agreed on this.

Alternatives Considered ? The next stage is to get closer to the other options in order to determine whether an alternative might perhaps be preferable. Substitutes for shared services are often doing nothing, improving the current method, and outsourcing the service to a third party.

The Bottom Line in Business ? Sharing services comes at an initial cost of infrastructure changes, and the impact on human capital (the latter deserves its own blog). The following need careful consideration from the financial angle:

Numbers to Work Through

  • Manpower to design and roll the project out in parallel with the existing organisation.
  • Capital for creating facilities at the central point including civil works, furniture and equipment and IT infrastructure.
  • The costs of travel, feeding and accommodation. These can be significant depending on the time that implementation takes.
  • The opportunity loss of diverting key staff – and the cost of temporary replacements – if appointing line staff to the project team.
  • Crystal-clear project metrics including (a) the direct, realisable savings (b) the medium and long-term effects on profit and (c) where to deploy the savings

Risk Management

Shared services projects don’t go equally smoothly, although planning should reduce the risk to manageable levels. Nonetheless it is important to imagine potential snags, decide how to mitigate them and what the cost might be.

We believe in implementing shared services on a pilot basis in the business unit that eventually provides them. We recommend building these out to other branches only when new processes are working smoothly.

Moving On From a Decision

We recommend you revisit your management overview, the logic behind it, the assumptions you made, and the costs and benefits you envisage before deciding to go ahead

The final step in proving a business case is doable should be fleshing out your roadmap into a detailed operations plan with dependencies on a spreadsheet.

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