Risk Assessment

Risk assessment is a vital component in BC (Business Continuity) planning. Through risk assessment, your company may determine what vulnerabilities your assets possess. Not only that, you’ll also be able to quantify the loss of value of each asset against a specific threat. That way, you can rank them so that assets that are most likely to cripple your business when say a specific disaster strikes can be given top priority.

However, a poorly implemented risk assessment may also cost you unnecessary expenditures. Many risk assessors are too enthusiastic in pointing out risks that, at the end of the assessment, they tend to over-appraise even those having practically zero probability of ever occurring.

We can assure you of a realistic assessment of your assets’ risks and propose cost-effective countermeasures. These are the things we can do:

  • Identify your unsafe practices and propose the best alternatives.
  • Perform qualitative risk assessment if you want fast results and lesser interruptions on your operations.
  • Perform quantitative risk assessment if you want the most accurate depiction of your risks and the corresponding justifiable costs of each.
  • Conduct frequency and consequence analysis to identify unforeseen harmful events and determine their effects to various components of your organisation and its surroundings.

We can also assist you with the following:

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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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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.

 

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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