Do you really need a Cloud Broker?

A cloud broker is someone who can serve as your trusted adviser when it comes to your dealings with a cloud service provider. Sort of an IT consultant who: is familiar with cloud computing, can negotiate a mutually beneficial relationship between you and a provider, and help you manage usage, performance and delivery of cloud services.?But do you need one?

Is it even time for cloud adoption?

Of course, if you haven’t even started considering moving your IT systems to the cloud, what’s the point of reading this article, right? Well, if you’re running a business in Ireland or the UK maybe you should start thinking about it. The benefits (of moving to the cloud) are simply overwhelming. But then that’s for another post.

For now, let’s just briefly talk about the rate of cloud adoption so far. This should give you an idea what other decision makers nearby think about cloud computing and what they’ve done in this regard so far.

According to research conducted by the Cloud Industry Forum (CIF), the number of first-time users of cloud computing in the United Kingdom has risen by about 27% compared to last year.

The study, which was carried out by research company Vanson Bourne and which involved IT decision-makers from both the private and public sector in UK, also showed that 61% of companies are subscribing to cloud-based services. A similar research conducted last year (2011) revealed only 48%.

In Ireland, plans are underway to adopt cloud computing. According to Pricewaterhouse Coopers, 75% of Ireland’s CIOs and IT directors are already adopting a cloud computing strategy.

Definitely, the number of cloud adopters is growing. If that number already includes your hottest competitor, then perhaps there’s no time to waste.

But while a migration to the cloud should be in your pipeline, it shouldn’t be something you should rush into. Generally speaking, there are at least three kinds of services offered by cloud service providers: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).

Some providers offer variations of these services. You might only need one type of service or a little of everything. There are also technical and regulatory compliance issues that need consideration.

Obviously, if you have no idea where or how to start, you’ll need someone who can help you. But what kind of help do you need?

Let’s proceed by talking about the kinds of services cloud brokers offer as these are obviously indicative of the needs of current cloud customers.

What cloud brokers do?

Cloud brokers offer three main types of services.

Cloud?inter-mediation

Cloud inter-mediation services are designed to add value to existing services and improve capabilities. ?Examples of cloud inter-mediation include managing access to cloud-based services, carrying out performance reporting, and establishing stronger security.

Cloud aggregation

As mentioned earlier, some cloud customers may end up subscribing to multiple cloud services; most likely from different cloud service providers. To get optimal return on their various cloud subscriptions, these customers will need to apply data integration and make these disparate systems work together. They will also have to make sure data flowing from one system to another is kept secure. This is where cloud aggregation comes into play.

Cloud arbitrage

This entails finding the best cloud service provider(s) to solve a particular problem. One example is comparing different providers offering data storage services and identifying the one offering the most competitive rates.

Other cloud arbitrage brokers develop new solutions by combining the services of different cloud service providers and then offer them to cloud customers. While there are similarities between cloud arbitrage and cloud aggregation, the former is more flexible and allows the customer to transfer from one provider to another where conditions are more favourable.

Problems a cloud broker can help you solve

Just like with natural clouds, your experiences in cloud computing won’t be all white and fluffy. You’ll also encounter gray and uncertain (or even stormy) clouds.

One major issue in cloud computing is cloud security. In fact, cloud security (or the apparent lack of it) is the one thing that’s really clouding up the sky of cloud computing. But that doesn’t mean the cloud is totally insecure. Besides, there are certain types of information that really don’t require a high level of security. These types you can easily migrate to the cloud.

For sensitive information, you really need to conduct due diligence to make sure your cloud service providers’ data centres are secure enough.

Where exactly will your data be stored? Are there enough provisions for regulatory compliance? How will your data be segregated? Does the infrastructure readily support ?data forensics? Is there a sound disaster recovery/business continuity plan? These are just some of the questions that need clear answers before you sign a contract with a cloud service provider.

Suggested reading: 9 Cloud Security Questions You Need To Ask Service Providers

Also, before you sign, you need to study the SLA (Service Level Agreement) very carefully. Look at the guaranteed uptime. Is it enough to meet your own desired service levels?

Bear in mind that the answers to these questions may be too technical. This is one of those instances when a cloud broker can come in handy. As your trusted adviser, your cloud broker can break down the technical jargon and present everything in a language that you can make intelligent decisions from.

A cloud broker will also be able to study the cloud provider’s security architecture and policies and determine whether they’re sufficient to meet your own security requirements. Basically, a cloud broker will not only help you obtain answers to your questions.

He will also know exactly what vital information to extract from providers in order to ensure that you find the best deal possible.

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What is Servitisation?

In the current generation, innovation has transformed industries, businesses, economies, and livelihoods. Those who’ve accepted to embrace the changes have prospered and remained afloat and relevant in their respective industries.?

However, failure to embrace change has seen companies like Blockbuster pushed out of business by more innovative and technology-oriented companies like Netflix.?

What does this tell you?

That the only way to stay in business, despite the many challenges your business could be facing, is to remain alert to the dynamic demands of customers, many of which are dictated by technological advancements.?

So, if you’re a manufacturer and you’re keen on diving deeper into technology to stay on top of the game and beat your competition, you must also be expectant of the fast-approaching servitisation-centred economy. Companies like Rolls Royce that have already embraced servitisation are making great gains in their areas of expertise.?

What is Servitisation?

Servitisation can be defined as the transformation of a manufacturing firm from the mere offering of products to the market to providing innovative and invaluable services alongside their products. By so doing, the sale becomes an ongoing engagement and not a one-off event. Cranfield University professors call it “the innovation of an organisation’s capabilities and processes to better create mutual value through a shift from selling a product to selling product-service systems.”?

As foreign as it may seem for some professionals, servitisation has been a need that, though not embraced, its demand remains evident. Nonetheless, firms have hesitated to implement it. Shifting from manufacturing products only to incorporating product-centric services alongside the products is not a walk in the park. It boils down to completely changing the company’s entire structure and processes.

All the same, change is never comfortable, and that’s why it’s always best to focus on the positive for motivation.

Servitisation Case Study

Some manufacturing firms have already embraced servitisation, and they’re reaping big from it. They’ve understood the benefits of offering more value to customers at less cost. What Rolls Royce is doing currently with its “power-by-the-hour” program is a good example of servitisation.

Instead of selling Aero Engines and letting customers take charge of maintenance and uptime, Rolls-Royce now offers a full package that includes a product and relevant services.?

Essentially, what the company is creating is an intimate and long-term relationship with its customers.

The total care package by Rolls Royce means it’s essentially renting out its engines to customers and monitoring data for potential maintenance needs. The plan guarantees that maintenance is only done when necessary and avoidable damage detected in good time. As a result, there is a clear reduction in the overall cost.

Initially, Rolls Royce would make money by basically selling and repairing engines. That meant that the worse the engines, the more repairs required and the more the money the company would make.?

However, things changed when the company realised there is no demand for a product that’s constantly in the repair shop. That prompted Rolls Royce to embrace servitisation.

Servitisation aligns the interests of the customer and those of the manufacturer to ensure everyone benefits. Rolls Royce has been offering this package to airlines since 2010, and the company has seen significant returns as a result.

Benefits

There are several benefits of incorporating servitisation into your manufacturing firm. Below are three of the strongest benefits

  • Financial Stability– Servitisation establishes a more secure revenue stream because of the long term connection between manufacturer and customer. This also translates to loyal customers, meaning more profit.
  • Strong Customer Retention Rate– Being more experienced about the equipment and the constant tracking and monitoring that comes with servitisation; manufacturers are realising that they can keep more customers.
  • Selling a Solution And a Product– Today customers are not just looking to buy a product, instead, they want both the product and the solution to their problem. Meaning you make more money for the product you manufacture and the service you offer to your customers.

Implementation of Servitisation in the Industry

To effectively implement servitisation, there must be an effective two-way flow of information and data in the supply chain. Meaning you may require software like FieldElite for scalable condition monitoring of performance. With FieldElite, for example, servitisation is made easier for you because it enables you to monitor the performance of your assets remotely.

Maintenance and monitoring of assets were traditionally very expensive and time-consuming until the arrival of intelligent software that makes work easier and cost-effective for manufacturers. FieldElite uses advanced learning algorithms to remotely automate the entire process, allowing you to detect, in real-time, the performance and need for maintenance on your asset.

Required Organisational Changes

A few important steps include;

Companies that invest in continuous training and development always have a more competitive edge than their counterparts. Meaning an important step towards servitisation is training the workforce. This is important, considering that the company structure, focus, and process will have to change.

Set up a team that is focused on the challenge, change, and creation. With this, you can easily adjust to industry changes. The team should always work on knowing what should be adjusted and when it should be.?

In the shift to servitisation, adopting a comprehensive service technology is an important step. Such service technology software includes FieldElite. This technology will ensure that you’re able to monitor your product in real-time, meaning you can maintain good performance for as long as possible.

Because servitisation essentially focuses on the customer, take time to study customer behaviour. Knowing what your customers need and want will help you remain relevant in the industry.

Conclusion

As the demand for more benefits and long-lasting relationships with dealers grow, so is the need for manufacturers to adjust. Hence more and more manufacturing companies are leaning towards embracing servitisation as a solution to the growing demand.?

In turn, manufacturers who’re attaching service contracts to their product sales are making more than those who remain stuck in the traditional approach to sales.?

Essentially, servitisation will ensure that, as a manufacturer, you remain relevant to your customers now and in years to come. This is a much better arrangement in terms of saving costs and making more returns. Remember to be successful, you have to be flexible enough to change with demand.

What Is Technical Debt? A Complete Guide

You buy the latest iPhone on credit. Turn to fast car loan services to get yourself those wheels you’ve been eyeing for a while. Take out a mortgage to realise your dream of being a homeowner. Regardless of the motive, the common denominator is going into financial debt to achieve something today, and pay it off in future, with interest. The final cost will be higher than the loan value that you took out in the first place. However, debt is not limited to the financial world.

Technical Debt Definition

Technical debt – which is also referred to as code debt, design debt or tech debt – is the result of the development team taking shortcuts in the code to release a product today, which will need to be fixed later on. The quality of the code takes a backseat to issues like market forces, such as when there’s pressure to get a product out there to beat a deadline, front-run the competition, or even calm jittery consumers. Creating perfect code would take time, so the team opts for a compromised version, which they will come back later to resolve. It’s basically using a speedy temporary fix instead of waiting for a more comprehensive solution whose development would be slower.

How rampant is it? 25% of the development time in large software organisations is actually spent dealing with tech debt, according to a multiple case study of 15 organizations. “Large” here means organizations with over 250 employees. It is estimated that global technical debt will cost companies $4 trillion by 2024.

Is there interest on technical debt?

When you take out a mortgage or service a car loan, the longer that it takes to clear it the higher the interest will be. A similar case applies to technical debt. In the rush to release the software, it comes with problems like bugs in the code, incompatibility with some applications that would need it, absent documentation, and other issues that pop up over time. This will affect the usability of the product, slow down operations – and even grind systems to a halt, costing your business. Here’s the catch: just like the financial loan, the longer that one takes before resolving the issues with rushed software, the greater the problems will pile up, and more it will take to rectify and implement changes. This additional rework that will be required in future is the interest on the technical debt.

Reasons For Getting Into Technical Debt

In the financial world, there are good and bad reasons for getting into debt. Taking a loan to boost your business cashflow or buy that piece of land where you will build your home – these are understandable. Buying an expensive umbrella on credit because ‘it will go with your outfit‘ won’t win you an award for prudent financial management. This also applies to technical debt.

There are situations where product delivery takes precedence over having completely clean code, such as for start-ups that need their operations to keep running for the brand to remain relevant, a fintech app that consumers rely on daily, or situations where user feedback is needed for modifications to be made to the software early. On the other hand, incurring technical debt because the design team chooses to focus on other products that are more interesting, thus neglecting the software and only releasing a “just-usable” version will be a bad reason.

Some of the common reasons for technical debt include:

  • Inadequate project definition at the start – Where failing to accurately define product requirements up-front leads to software development that will need to be reworked later
  • Business pressure – Here the business is under pressure to release a product, such as an app or upgrade quickly before the required changes to the code are completed.
  • Lacking a test suite – Without the environment to exhaustively check for bugs and apply fixes before the public release of a product, more resources will be required later to resolve them as they arise.
  • Poor collaboration – From inadequate communication amongst the different product development teams and across the business hierarchy, to junior developers not being mentored properly, these will contribute to technical debt with the products that are released.
  • Lack of documentation – Have you launched code without its supporting documentation? This is a debt that will need to be fulfilled.
  • Parallel development – This is seen when working on different sections of a product in isolation which will, later on, need to be merged into a single source. The greater the extent of modification on an individual branch – especially when it affects its compatibility with the rest of the code, the higher the technical debt.
  • Skipping industrial standards – If you fail to adhere to industry-standard features and technologies when developing the product, there will be technical debt because you will eventually need to rework the product to align with them for it to continue being relevant.
  • Last-minute product changes – Incorporating changes that hadn’t been planned for just before its release will affect the future development of the product due to the checks, documentation and modifications that will be required later on

Types of Technical Debt

There are various types of technical debt, and this will largely depend on how you look at it.

  • Intentional technical debt – which is the debt that is consciously taken on as a strategy in the business operations.
  • Unintentional technical debt – where the debt is non-strategic, usually the consequences of a poor job being done.

This is further expounded in the Technical Debt Quadrant” put forth by Martin Fowler, which attempts to categorise it based on the context and intent:

Technical Debt Quadrant

Source: MartinFowler.com

Final thoughts

Technical debt is common, and not inherently bad. Just like financial debt, it will depend on the purpose that it has been taken up, and plans to clear it. Start-ups battling with pressure to launch their products and get ahead, software companies that have cut-throat competition to deliver fast – development teams usually find themselves having to take on technical debt instead of waiting to launch the products later. In fact, nearly all of the software products in use today have some sort of technical debt.

But no one likes being in debt. Actually, technical staff often find themselves clashing with business executives as they try to emphasise the implications involved when pushing for product launch before the code is completely ready. From a business perspective, it’s all about weighing the trade-offs, when factoring in aspects such as the aspects market situation, competition and consumer needs. So, is technical debt good or bad? It will depend on the context. Look at it this way: just like financial debt, it is not a problem as long as it is manageable. When you exceed your limits and allow the debt to spiral out of control, it can grind your operations to a halt, with the ripple effects cascading through your business.

 

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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