Total Quality Management

Total Quality Management (TQM) is another business management approach that focuses on the involvement of all members of the organisation to participate in improving processes, products, services, and the culture in which they work in. It is important that every team member realises how each individual and each activity affects, and in turn is affected by, others.

With the use of combined quality and management tools, TQM also aims to reduce losses brought about by wasteful practices, a common concern in most companies. Using the TQM strategy, business would also be able to identify the cause of a defect, thereby preventing it from entering the final product.

Deming’s 14 Points

At the core of the Total Quality Management concept and implementation is Deming’s 14 points, a set of guidelines on quality as conceptualised by W Edwards Deming, one of the pioneers of quality. Deming’s 14 points are as follows:

  1. Create constancy of purpose for improving products and services.
  2. Adopt the new philosophy.
  3. Cease dependence on inspection to achieve quality.
  4. End the practice of awarding business on price alone; instead, minimise total cost by working with a single supplier.
  5. Improve constantly and forever every process for planning, production and service.
  6. Institute training on the job.
  7. Adopt and institute leadership.
  8. Drive out fear.
  9. Break down barriers between staff areas.
  10. Eliminate slogans, exhortations and targets for the workforce.
  11. Eliminate numerical quotas for the workforce and numerical goals for management.
  12. Remove barriers that rob people of pride of workmanship, and eliminate the annual rating or merit system.
  13. Institute a vigorous program of education and self-improvement for everyone.
  14. Put everybody in the company to work accomplishing the transformation.

But if you were to reduce to bare bones the TQM philosophy from Deming’s 14 points, it would all come down to two simple goals:

  1. To make things right the first time; and
  2. To work for continuous improvement.

As with all other quality management process, the end goal is to be able to offer products and services that meet and even exceed customer’s expectations.

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8 Best Practices To Reduce Technical Debt

When past actions in software development return to haunt you…

Is your business being bogged down by technical debt? Let’s look at measures that you can take to reduce it and scale your operations without the weight pulling you back. 

 

Work with a flexible architecture.

Right from the word go, you want to use architecture whose design is malleable, especially with the rapid rate of software evolution witnessed today. Going with an architecture that keeps calling for too much refactoring, or whose design won’t accommodate future changes will leave you with costly technical debt. Use scalable architecture that allows you to modify or add new features in future releases. While on this, complex features required in the final product should be discussed at the planning stage, that way simplified solutions that will be easier to implement can be identified, as this will lead to less technical debt in the long run. 

 

The Deal with Refactoring 

This is basically cleaning up the code structure without changing its behaviour. With the updates, patches, and new functionalities that are added to the systems and applications, each change comes with the threat of more technical debt. Additionally, organisations are increasingly moving their IT infrastructure from on-premises facilities to colocation data centres and deploying them on the cloud. In such scenarios, some workarounds are often needed to enable the systems to function in the new environments, which they hadn’t been initially developed to accommodate. Here, you will need to take some time to refactor the existing system regularly, streamlining the code and optimizing its performance – and this will be key to pay down the tech debt. When working with a flexible architecture from the start, the amount of work that goes into this will be reduced, meaning there’ll be less tech debt involved. 

 

Run discovery tests

Discovery testing essentially takes place even before a line of code is written for the system or application. This takes place at the product definition stage, where human insight software is used to understand the needs of the customer and is particularly helpful in setting priorities for the development work that will be carried out. It gives your business the opportunity to minimize the technical debt by allowing customers to give you a roadmap of the most pertinent features desired from the product. 

 

Routine code review

Getting a fresh look at the product or application from different sets of eyes in the development team will improve the quality of the code, thus reducing technical debt. There’s a catch though – this should be planned in a convenient way that doesn’t end up becoming a burden for the developers. Here are suggestions:

Break down pull requests

Instead of having complex pull requests where numerous changes in the code are introduced at a go, have this broken down into smaller manageable pull requests, each with a brief title and description about it. This will be easier for the code reviewer to analyse. 

● Define preferred coding practices

Documenting the preferred coding style will result in cleaner code, meaning the developers will focus their effort on reviewing the code itself, not losing time on code format debates.

 

Test automation

Relying only on scheduled manual testing opens you up to the risk of technical debt accruing rapidly, and not having sufficient resources to deal with the accumulated problems when they are identified. Automated testing on the other hand enables issues to be uncovered quicker, and with more precision. For instance, you can have automated unit tests that look at the functioning of the individual components of a system, or regression testing where the focus is on whether the code changes that have been implemented have affected related components of the system. However, establishing and maintaining automated testing will require quite some effort – making it more feasible for the long-term projects.

 

Keep a repository that tracks changes made

Do you have a record of changes made in the software? Keeping one in a repository that is accessible by the development team will make it easy to pin-point problems at their source. For instance, when software is being migrated to a new environment, or legacy software is in the process of being modernised, you will want to have an accurate record of changes that are being introduced, that way if there is an undesired impact on the system this it will be easier to zero-down on the cause.

 

Bring non-technical stakeholders on board

Does this conversation sound familiar?

Development Team: “We need to refactor the messy code quickly”

Product Team: “We have no idea what you are saying”

On one hand, you have the management or product team defining the product requirements, creating a project roadmap, and setting its milestones. On the other hand, there’s the software development/engineering that’s primarily focused on the product functionality, technical operations and clearing the backlog in code fixes. Poor communication between the two teams is actually a leading cause of technical debt.

For you to take concrete steps in managing your technical debt, the decision-makers in the organisation should understand its significance, and the necessity of reducing it. Explain to them how the debt occurred and why steps need to be taken to pay it down – but you can’t just bombard them with tech phrases and expect them to follow your thought process. 

So how do you go about it? Reframe the issues involved with the technical debt and explain the business value or impact of the code changes. Basically, the development team should approach it from a business point of view, and educate the management or production team about the cost of the technical debt. This can include aspects such as expenses in changing the code, salaries for the software engineers especially when the development team will need to be increased due to the workload piling up, as well as the revenue that is lost when the technical debt is allowed to spiral. 

The goal here is to show the management or production team how issues like failing to properly define the product requirements will slow down future software development, or how rushing the code will affect the next releases. That way, there will be better collaboration between the teams involved in the project. 

 

Allocate time and resources specifically for reducing technical debt

With management understanding that working with low-quality code is just like incurring financial debt and it will slow down product development, insist on setting time to deal with the debt. 

For instance, when it comes to the timing of application releases, meetings can be conducted to review short- and longer-term priorities. These meetings – where the development team and product team or management are brought together, the developers point out the software issues that should be resolved as a priority as they may create more technical debt. Management then ensures that budgets and plans are put in place to explicitly deal with those ongoing maintenance costs.

 

Retire old platforms

While most of the resources are going into developing new applications and improving the systems being used, the organisation should also focus on retiring the old applications, libraries, platforms, and the code modules. It’s recommended that you factor this into the application release plans, complete with the dates, processes and costs for the systems involved. 

 

Total overhaul

When the cost and effort of dealing with the technical debt far outweighs the benefits, then you may have to replace the entire system. At this tipping point, you’re not getting value from the technical debt, and it has become a painful issue that’s causing your organisation lots of difficulties. For instance, you may be dealing with legacy software where fixing it to support future developments has simply become too complicated. The patches available may only resolve specific issues with the system, and still leave you with lots of technical debt. Here, the best way out is to replace the system in its entirety. 

 

Final thoughts

Every software company has some level of tech debt. Just like financial debt, it is useful when properly managed, and a problem when ignored or allowed to spiral out of control. It’s a tradeoff between design/development actions and business goals. By taking measures to pay down your organization’s debt and address its interest as it accrues, you will avoid situations where short term solutions undermine your long-term goals. This is also key to enable your business to transition to using complex IT solutions easier, and even make the migration between data centres much smoother. These 8 measures will enable you to manage your technical debt better to prevent it from being the bottleneck that stifles your growth.

Succeed at Transformation

Despite the pomp and fanfare associated with launching corporate transformation programs, in reality very few of them succeed. According to a recent report by McKinsey the success rate is pegged below 40%. In addition, the same research indicates that defensive transformations – those undertaken as part of crisis management – have lower chances of success than progressive ones – those launched to streamline operations and foster growth. However, adopting certain strategies, like setting clear and high goals, and maintaining energy and engagement throughout the implementation phase, can really boost the project’s success rate. A key aspect of business transformation is IT transformation. This can be attributed to the fact that significant business change is either driven or influenced by technological change.

So what is IT Transformation?

IT transformation is basically a holistic reorganisation of the existing technological infrastructure that supports the company’s mission critical functions. In essence, IT transformation is not all about effecting change for the sake of change but involves systematic steps that align IT systems to business functions. To appreciate this approach, it is important to explore current trends in the business world where human resource, finance and IT transformations are being carried out in unison. This is being done to develop strong corporate centres that are leaner, agile and more productive that enhance greater synergies across all business functions.

IT transformation inevitably results in major changes of the information system’s technology, involving both hardware and software components of the system, the architecture of the system, the manner in which data is structured or accessed, IT control and command governance, and the components supporting the system. From this scope of works it is evident that IT transformation is a huge project that requires proper planning and implementation in order to succeed.

Tips to Improve Success in IT transformations Projects

1. Focus on Benefits not Functionality

The project plan should be more focused on benefits that can be accrued if the system is implemented successfully rather than system functionality. The benefits should be in line with business goals, for instance cost reduction and value addition. The emphasis should be on the envisaged benefits which are defined and outlined during the project authorisation. The business benefits outlined should be clear, feasible, compelling and quantifiable. Measures should be put in place to ensure that the benefits are clearly linked to the new system functionality.

2. Adopt a Multiple Release Approach

Typically most IT projects are planned with focus on a big launch date set in years to come. This approach is highly favoured because it simplifies stakeholder expectation management and avoids the complexity associated with multiple incremental releases. However, this approach misses the benefit of getting early critical feedback on functioning of the system. In addition, the long lead times often result in changes in project scope and loss of critical team members and stakeholders. IT transformation projects should be planned to deliver discrete portions of functionality in several releases. The benefit of multiple release approach is that it reduces project risks and most importantly allows earlier lessons learnt to be incorporated in future releases.

3. Capacity of the Organisation to confront Change

As pointed out, IT transformations result in significant changes in business operations and functions. Hence it is important that all business stakeholders should be reading from the same script in regards to changes expected. In addition, key stakeholders should be involved in crucial project stages and their feedback incorporated to ensure that the system is not only functional but business focused.

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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