Comprehensive Guide to Strategic Investment in IT and Data for Sustainable Business Growth and Innovation

In this post, Renier is exploring the critical importance of appropriate investment in technology, data and innovation for continued business growth and a strategy to stay relevant.

Introduction

This comprehensive guide explores the strategic importance of investing in information technology (IT) and data management to foster sustainable business growth and innovation. It delves into the risks of underinvestment and the significant advantages that proactive and thoughtful expenditure in these areas can bring to a company. Additionally, it offers actionable strategies for corporate boards to effectively navigate these challenges, ensuring that their organisations not only survive but thrive in the competitive modern business landscape.

The Perils of Underinvestment in IT: Navigating Risks and Strategies for Corporate Boards

In the digital age, information technology (IT) is not merely a support tool but a cornerstone of business strategy and operations. However, many companies still underinvest in their IT infrastructure, leading to severe repercussions. This section explores the risks associated with underinvestment in IT, the impact on businesses, and actionable strategies that company Boards can adopt to mitigate these risks and prevent potential crises.

The Impact of Underinvestment in IT

Underinvestment in IT can manifest in numerous ways, each capable of stifling business growth and operational efficiency. Primarily, outdated systems and technologies can lead to decreased productivity as employees struggle with inefficient processes and systems that do not meet contemporary standards. Furthermore, it exposes the company to heightened security risks such as data breaches and cyberattacks, as older systems often lack the capabilities to defend against modern threats.

Key Risks Introduced by Underinvestment

  • Operational Disruptions – With outdated IT infrastructure, businesses face a higher risk of system downtimes and disruptions. This not only affects daily operations but can also lead to significant financial losses and damage to customer relationships.
  • Security Vulnerabilities – Underfunded IT systems are typically less secure and more susceptible to cyber threats. This can compromise sensitive data and intellectual property, potentially resulting in legal and reputational harm.
  • Inability to Scale – Companies with poor IT investment often struggle to scale their operations efficiently to meet market demands or expand into new territories, limiting their growth potential.
  • Regulatory Non-Compliance – Many industries have strict regulations regarding data privacy and security. Inadequate IT infrastructure may lead to non-compliance, resulting in hefty fines and legal issues.

What Can Boards Do?

  • Prioritise IT in Strategic Planning – Boards must recognise IT as a strategic asset rather than a cost centre. Integrating IT strategy with business strategy ensures that technology upgrades and investments are aligned with business goals and growth trajectories.
  • Conduct Regular IT Audits – Regular audits can help Boards assess the effectiveness of current IT systems and identify areas needing improvement. This proactive approach aids in preventing potential issues before they escalate.
  • Invest in Cybersecurity – Protecting against cyber threats should be a top priority. Investment in modern cybersecurity technologies and regular security training for employees can shield the company from potential attacks.
  • Establish a Technology Committee – Boards could benefit from establishing a dedicated technology committee that can drive technology strategy, oversee technology risk management, and keep the Board updated on key IT developments and investments.
  • Foster IT Agility – Encouraging the adoption of agile IT practices can help organisations respond more rapidly to market changes and technological advancements. This includes investing in scalable cloud solutions and adopting a culture of continuous improvement.
  • Education and Leadership Engagement – Board members should be educated about the latest technology trends and the specific IT needs of their industry. Active engagement from leadership can foster an environment where IT is seen as integral to organisational success.

Maximising Potential: The Critical Need for Proper Data Utilisation in Organisations

In today’s modern business landscape, data is often referred to as the new oil—a vital asset that can drive decision-making, innovation, and competitive advantage. Despite its recognised value, many organisations continue to underinvest and underutilise data, missing out on significant opportunities and exposing themselves to increased risks. This section examines the consequences of not fully leveraging data, the risks associated with such underutilisation, and practical steps organisations can take to better harness the power of their data.

The Consequences of Underutilisation

Underutilising data can have far-reaching consequences for organisations, impacting everything from strategic planning to operational efficiency. Key areas affected include:

  • Inefficient Decision-Making – Without robust data utilisation, decisions are often made based on intuition or incomplete information, which can lead to suboptimal outcomes and missed opportunities.
  • Missed Revenue Opportunities – Data analytics can uncover trends and insights that drive product innovation and customer engagement. Organisations that fail to leverage these insights may fall behind their competitors in capturing market share.
  • Operational Inefficiencies – Data can optimise operations and streamline processes. Lack of proper data utilisation can result in inefficiencies, higher costs, and decreased productivity.

Risks Associated with Data Underutilisation

  • Competitive Disadvantage – Companies that do not invest in data analytics may lose ground to competitors who utilise data to refine their strategies and offerings, tailor customer experiences, and enter new markets more effectively.
  • Security and Compliance Risks – Underinvestment in data management can lead to poor data governance, increasing the risk of data breaches and non-compliance with regulations like GDPR and HIPAA, potentially resulting in legal penalties and reputational damage.
  • Strategic Misalignmen – Lack of comprehensive data insights can lead to strategic plans that are out of sync with market realities, risking long-term sustainability and growth.

Mitigating Risks and Enhancing Data Utilisation

  • Enhance Data Literacy Across the Organisation – Building data literacy across all levels of the organisation empowers employees to understand and use data effectively in their roles. This involves training programmes and ongoing support to help staff interpret and leverage data insights.
  • Invest in Data Infrastructure – To harness data effectively, robust infrastructure is crucial. This includes investing in secure storage, efficient data processing capabilities, and advanced analytics tools. Cloud-based solutions can offer scalable and cost-effective options.
  • Establish a Data Governance Framework – A strong data governance framework ensures data quality, security, and compliance. It should define who can access data, how it can be used, and how it is protected, ensuring consistency and reliability in data handling.
  • Foster a Data-Driven Culture – Encouraging a culture that values data-driven decision-making can be transformative. This involves leadership endorsing and modelling data use and recognising teams that effectively use data to achieve results.
  • Utilise Advanced Analytics and AI – Advanced analytics, machine learning, and AI can transform raw data into actionable insights. These technologies can automate complex data analysis tasks, predict trends, and offer deeper insights that human analysis might miss.
  • Regularly Review and Adapt Data Strategies – Data needs and technologies evolve rapidly. Regular reviews of data strategies and tools can help organisations stay current and ensure they are fully leveraging their data assets.

The Essential Role of Innovation in Business Success and Sustainability

Innovation refers to the process of creating new products, services, processes, or technologies, or significantly improving existing ones. It often involves applying new ideas or approaches to solve problems or meet market needs more effectively. Innovation can range from incremental changes to existing products to groundbreaking shifts that create whole new markets or business models.

Why is Innovation Important for a Business?

  • Competitive Advantage – Innovation helps businesses stay ahead of their competitors. By offering unique products or services, or by enhancing the efficiency of processes, companies can differentiate themselves in the marketplace. This differentiation is crucial for attracting and retaining customers in a competitive landscape.
  • Increased Efficiency – Innovation can lead to the development of new technologies or processes that improve operational efficiency. This could mean faster production times, lower costs, or more effective marketing strategies, all of which contribute to a better bottom line.
  • Customer Engagement and Satisfaction – Today’s consumers expect continual improvements and new experiences. Innovative businesses are more likely to attract and retain customers by meeting these expectations with new and improved products or services that enhance customer satisfaction and engagement.
  • Revenue Growth – By opening new markets and attracting more customers, innovation directly contributes to revenue growth. Innovative products or services often command premium pricing, and the novelty can attract customers more effectively than traditional marketing tactics.
  • Adaptability to Market Changes – Markets are dynamic, with consumer preferences, technology, and competitive landscapes constantly evolving. Innovation enables businesses to adapt quickly to these changes. Companies that lead in innovation can shape the direction of the market, while those that follow must adapt to changes shaped by others.
  • Attracting Talent – Talented individuals seek dynamic and progressive environments where they can challenge their skills and grow professionally. Innovative companies are more attractive to potential employees looking for such opportunities. By drawing in more skilled and creative employees, a business can further enhance its innovation capabilities.
  • Long-Term Sustainability – Continuous innovation is crucial for long-term business sustainability. By constantly evolving and adapting through innovation, businesses can foresee and react to changes in the environment, technology, and customer preferences, thus securing their future relevance and viability.
  • Regulatory Compliance and Social Responsibility – Innovation can also help businesses meet regulatory requirements more efficiently and contribute to social and environmental goals. For example, developing sustainable materials or cleaner technologies can address environmental regulations and consumer demands for responsible business practices.

In summary, innovation is essential for a business as it fosters growth, enhances competitiveness, and ensures ongoing relevance in a changing world. Businesses that consistently innovate are better positioned to thrive and dominate in their respective markets.

Strategic Investment in Technology, Product Development, and Data: Guidelines for Optimal Spending in Businesses

There isn’t a one-size-fits-all answer to how much a business should invest in technology, product development, innovation, and data as a percentage of its annual revenue. The appropriate level of investment can vary widely depending on several factors, including the industry sector, company size, business model, competitive landscape, and overall strategic goals. However, here are some general guidelines and considerations:

Strategic Considerations

  • Technology and Innovation – Companies in technology-driven industries or those facing significant digital disruption might invest a larger portion of their revenue in technology and innovation. For instance, technology and software companies typically spend between 10% and 20% of their revenue on research and development (R&D). For other sectors where technology is less central but still important, such as manufacturing or services, the investment might be lower, around 3-5%.
  • Product Development – Consumer goods companies or businesses in highly competitive markets where product lifecycle is short might spend a significant portion of revenue on product development to continually offer new or improved products. This could range from 4% to 10% depending on the industry specifics and the need for innovation.
  • Data – Investment in data management, analytics, and related technology also varies. For businesses where data is a critical asset for decision-making, such as in finance, retail, or e-commerce, investment might be higher. Typically, this could be around 1-5% of revenue, focusing on capabilities like data collection, storage, analysis, and security.
  • Growth Phase – Start-ups or companies in a growth phase might invest a higher percentage of their revenue in these areas as they build out their capabilities and seek to capture market share.
  • Maturity and Market Position – More established companies might spend a smaller proportion of revenue on innovation but focus more on improving efficiency and refining existing products and technologies.
  • Competitive Pressure – Companies under significant competitive pressure may increase their investment to ensure they remain competitive in the market.
  • Regulatory Requirements – Certain industries might require significant investment in technology and data to comply with regulatory standards, impacting how funds are allocated.

Benchmarking and Adaptation

It is crucial for businesses to benchmark against industry standards and leaders to understand how similar firms allocate their budget. Additionally, investment decisions should be regularly reviewed and adapted based on the company’s performance, market conditions, and technological advancements.

Ultimately, the key is to align investment in technology, product development, innovation, and data with the company’s strategic objectives and ensure these investments drive value and competitive advantage.

Conclusion

The risks associated with underinvestment in IT are significant, but they are not insurmountable. Boards play a crucial role in ensuring that IT receives the attention and resources it requires. By adopting a strategic approach to IT investment, Boards can not only mitigate risks but also enhance their company’s competitive edge and operational efficiency. Moving forward, the goal should be to view IT not just as an operational necessity but as a strategic lever for growth and innovation.

The underutilisation of data presents significant risks but also substantial opportunities for organisations willing to invest in and prioritise their data capabilities. By enhancing data literacy, investing in the right technologies, and fostering a culture that embraces data-driven insights, organisations can mitigate risks and position themselves for sustained success in an increasingly data-driven world.

In conclusion, strategic investment in IT, innovation and data is crucial for any organisation aiming to maintain competitiveness and drive innovation in today’s rapidly evolving market. By understanding the risks of underinvestment and implementing the outlined strategies, corporate boards can ensure that their companies leverage technology and data effectively. This approach will not only mitigate potential risks but also enhance operational efficiency, open new avenues for growth, and ultimately secure a sustainable future for their businesses.

Are you ready to elevate your organisation’s competitiveness and innovation? Consider the strategic importance of investing in IT and data. We encourage corporate boards and business leaders to take proactive steps: assess your current IT and data infrastructure, align investments with your strategic goals, and foster a culture that embraces technological advancement. Start today by reviewing the strategies outlined in this guide to ensure your business not only survives but thrives in the digital age. Act now to secure a sustainable and prosperous future for your organisation.

Release Management as a Competitive Advantage

“Delivery focussed”, “Getting the job done”, “Results driven”, “The proof is in the pudding” – we are all familiar with these phrases and in Information Technology it means getting the solutions into operations through effective Release Management, quickly.

In the increasingly competitive market, where digital is enabling rapid change, time to market is king. Translated into IT terms – you must get your solution into production before the competition does, through an effective ability to do frequent releases. Doing frequent releases benefit teams as features can be validated earlier and bugs detected and resolved rapidly. The smaller iteration cycles provide flexibility, making adjustments to unforeseen scope changes easier and reducing the overall risk of change while rapidly enhancing stability and reliability in the production environment.

IT teams with well governed agile and robust release management practices have a significant competitive advantage. This advantage materialises through self-managed teams consisting of highly skilled technologist who collaborative work according to a team defined release management process enabled by continuous integration and continuous delivery (CICD), that continuously improves through constructive feedback loops and corrective actions.

The process of implementing such agile practices, can be challenging as building software becomes increasingly more complex due to factors such as technical debt, increasing legacy code, resource movements, globally distributed development teams, and the increasing number of platforms to be supported.

To realise this advantage, an organisation must first optimise its release management process and identify the most appropriate platform and release management tools.

Here are three well known trends that every technology team can use to optimise delivery:

1. Agile delivery practises – with automation at the core 

So, you have adopted an agile delivery methodology and you’re having daily scrum meetings – but you know that is not enough. Sprint planning as well as review and retrospection are all essential elements for a successful release, but in order to gain substantial and meaningful deliverables within the time constraints of agile iterations, you need to invest in automation.

An automation ability brings measurable benefits to the delivery team as it reduces the pressure on people in minimising human error and increasing overall productivity and delivery quality into your production environment that shows in key metrics like team velocity. Another benefit automation introduces is consistent and repeatable process, enabling easily scalable teams while reducing errors and release times. Agile delivery practices (see “Executive Summary of 4 commonly used Agile Methodologies“) all embrace and promote the use of automation across the delivery lifecycle, especially in build, test and deployment automation. Proper automation support delivery teams in reducing overhead of time-consuming repetitive tasks in configuration and testing so them can focus on the core of customer centric product/service development with quality build in. Also read How to Innovate to stay Relevant“; “Agile Software Development – What Business Executives need to know” for further insight in Agile methodologies…

Example:

Code Repository (version Control) –> Automated Integration –> Automated Deployment of changes to Test Environments –> Platform & Environment Changes automated build into Testbed –> Automated Build Acceptance Tests –> Automated Release

When a software developer commits changes to the version control, these changes automatically get integrated with the rest of the modules. Integrated assembles are then automatically deployed to a test environment – changes to the platform or the environment, gets automatically built and deployed on the test bed. Next, build acceptance tests are automatically kicked off, which would include capacity tests, performance, and reliability tests. Developers and/or leads are notified only when something fails. Therefore, the focus remains on core development and not just on other overhead activities. Of course, there will be some manual check points that the release management team will have to pass in order to trigger next the phase, but each activity within this deployment pipeline can be more or less automated. As your software passes all quality checkpoints, product version releases are automatically pushed to the release repository from which new versions can be pulled automatically by systems or downloaded by customers.

Example Technologies:

  • Build Automation:  Ant, Maven, Make
  • Continuous Integration: Jenkins, Cruise Control, Bamboo
  • Test Automation: Silk Test, EggPlant, Test Complete, Coded UI, Selenium, Postman
  • Continuous Deployment: Jenkins, Bamboo, Prism, Microsoft DevOps

2. Cloud platforms and Virtualisation as development and test environments

Today, most software products are built to support multiple platforms, be it operating systems, application servers, databases, or Internet browsers. Software development teams need to test their products in all of these environments in-house prior to releasing them to the market.

This presents the challenge of creating all of these environments as well as maintaining them. These challenges increase in complexity as development and test teams become more geographically distributed. In these circumstances, the use of cloud platforms and virtualisation helps, especially as these platforms have recently been widely adopted in all industries.

Automation on cloud and virtualised platforms enables delivery teams to rapidly spin up/down environments optimising infrastructure utilisation aligned with demand while, similar to maintaining code and configuration version history for our products, also maintain the version history of all supported platforms. Automated cloud platforms and virtualisation introduces flexibility that optimises infrastructure utilisation and the delivery footprint as demand changes – bringing savings across the overall delivery life-cycle.

Example:

When a build and release engineer changes configurations for the target platform – the operating system, database, or application server settings – the whole platform can be built and a snapshot of it created and deployed to the relevant target platforms.

Virtualisation: The virtual machine (VM) is automatically provisioned from the snapshot of base operating system VM, appropriate configurations are deployed and the rest of the platform and application components are automatically deployed.

Cloud: Using a solution provider like Azure or AWS to deliver Infrastructure-as-a-Service (IaaS) and Platform as a Service (PaaS), new configurations can be introduced in a new environment instance, instantiated, and configured as an environment for development, testing, staging or production hosting. This is crucial for flexibility and productivity, as it takes minutes instead of weeks to adapt to configuration changes. With automation, the process becomes repeatable, quick, and streamlines communication across different teams within the Tech-hub.

3. Distributed version control systems

Distributed version control systems (DVCS), for example GIT, Perforce or Mercurial, introduces flexibility for teams to collaborate at the code level. The fundamental design principle behind DVCS is that each user keeps a self-contained repository with complete version history on one’s local computer. There is no need for a privileged master repository, although most teams designate one as a best practice. DVCS allow developers to work offline and commit changes locally.

As developers complete their changes for an assigned story or feature set, they push their changes to the central repository as a release candidate. DVCS offers a fundamentally new way to collaborate, as  developers can commit their changes frequently without disrupting the main codebase or trunk. This becomes useful when teams are exploring new ideas or experimenting as well as enabling rapid team scalability with reduced disruption.

DVCS is a powerful enabler for the team that utilise an agile-feature-based branching strategy. This encourages development teams to continue to work on their features (branches) as they get ready, having fully tested their changes locally, to load them into next release cycle. In this scenario, developers are able to work on and merge their feature branches to a local copy of the repository.After standard reviews and quality checks will the changes then be merged into the main repository.

To conclude

Adopting these three major trends in the delivery life-cycle enables a organisation to imbed proper release management as a strategic competitive advantage. Implementing these best practices will obviously require strategic planning and an investment of time in the early phases of your project or team maturity journey – this will reduce the organisational and change management efforts to get to market quicker.

Systems Powering Healthcare – Corporate Video

SPHERE (Systems Powering Healthcare Ltd) is an IT Service Provider delivering IT Service Management and shared IT infrastructure services to the healthcare sector. In March 2015, the Chelsea & Westminster NHS Foundation Trust and the Royal Marsden NHS Foundation Trust moved to a shared service model for common IT functions through the formation of SPHERE (Systems Powering Healthcare Ltd). SPHERE, is a company jointly and wholly owned by Chelsea & Westminster Hospital and the Royal Marsden NHS Foundation Trusts – it represents a collaboration and pooling of resources between the Trusts to deliver improved IT services to its members.

https://www.systemspoweringhealthcare.com