Insights.

Tech is key for success but too much makes things worse. Firms should use fewer, stronger systems to enhance efficiency. This means building a solid digital base with fewer but more capable systems to power today's needs and future growth.

A business does well when it sells things people like and plans carefully. Using technology can make work easier and help find more customers. However, it's not just about getting new tech; it's about using it wisely as part of a bigger plan.

Architecture is about using technology smartly with an eye on the broader goals of your business.

Tech that grows on its own can get complicated and tough to handle and might stop your business from growing. Starting with a basic plan that you can change and make better over time helps everything work together smoothly and can make sure that your tech grows with your business, not against it.

Businesses can struggle if their tech doesn't support their activities. To sync tech with business needs, a savvy team should assess and align the company's technology with its strengths and requirements. The goal is to select tech that's current yet adaptable, , and supports collaboration across all company levels for growth and efficiency.

A Business Capability is what a company is inherently good at, like how DNA shapes a person's traits. Business capabilities are like the foundation of a company's functions, enduring over time, while processes and departments are like specific actions done daily, adaptable, and flexible. Creating a business capability model involves understanding what a company is good at, its values, who it serves, and its unique identity. Describing what a company does is challenging due to various factors like complexity, change, and differing perspectives. Industry reference models provide a solid starting point for companies to develop their capability model, guiding them towards understanding and improving their operations.

Architectural blueprints for physical and digital projects are crucial for setting clear objectives, promoting efficient teamwork, and managing resources effectively, while also preparing for future changes. It ensures the development of systems that are simple yet effective, ready to tackle future challenges and streamline operations for long-term success.

Creating a comprehensive inventory of software applications is a crucial initial step for your organization to both manage its existing IT assets effectively, but also to plan the future. The inventory can help in various areas such as application rationalization, license management, security, compliance, and developing roadmaps.

Application Portfolio Management (APM) is a strategy that helps businesses manage their software applications efficiently, ensuring they deliver value and align with business objectives. It's akin to stock portfolio management but for software, where companies assess the performance of each application, deciding which to keep, improve, or discard using methods like T.I.M.E analysis (Tolerate, Invest, Migrate, Eliminate). This approach categorizes applications based on their utility and value, using visual tools and scoring systems to evaluate their business relevance and technical compatibility. Through surveys among IT staff, users, and leaders, businesses can make informed decisions on which applications to invest in, update, or eliminate, optimizing their software portfolio for maximum return on investment.

Architecture tools streamline the technology planning process for businesses, guiding them from understanding their current operations to planning for future growth. These tools automate inventory management, simplify the creation of business models, and ensure all technology aligns with business goals. They help update outdated systems, enhance security, and encourage continuous improvement, making it easier to integrate data and adopt new technologies like AI. This organized approach to managing vast amounts of information—metadata—supports effective decision-making, fostering efficiency and alignment with business objectives. Without these tools, organizations rely on manual, inefficient methods that struggle to keep up with growth and changes, leading to inaccuracies and a lack of consistency. Specialized architecture tools not only reduce manual effort but also improve collaboration and provide a comprehensive view of the IT landscape. They're essential for businesses looking to navigate digital transformation and stay competitive, offering a way to manage complex IT architectures more efficiently and align technology strategies with business needs.

Digital and Enterprise Architecture is key to making sure technology efforts support business aims and manage the growth of your digital landscape. But, if requests about Architecture end up in the wrong place, it can slow everything down and stop Architecture teams from guiding the process properly. This insight note offers steps to a phased approach to setting up an effective process for getting Architecture involved and managing such requests.

When managing technology in businesses, especially for big projects, using the right tools can make everything much simpler. Just like how AutoCAD helps architects by automatically following building codes, enterprise architecture (EA) tools help businesses line up their technology with their goals using guidelines from well-known methods like TOGAF and BPMN. These tools have built-in templates and checks that use these guidelines, so people don't have to remember every rule. They keep everything up to date and let designers focus more on being creative and solving problems. However, it's still important for people to understand these guidelines themselves. Knowing the rules helps make better decisions, catch mistakes the tools might miss, and adjust the tools to fit exactly what the company needs. It also makes explaining things easier and helps people get better at their jobs. So, while tools are super helpful, the knowledge and judgment of professionals are irreplaceable. They ensure that technology not only matches the business today but also is ready for the future.

Teams don’t struggle with solving problems but figuring out what the problems are.

About 70% of IT projects fail. Best practices, skills and competencies have been improving for decades — so why do project still fail?

Teams struggle to understand when a solution is good enough. They get stuck in endless development cycles trying to meet the arbitrary standards of insiders, causing schedules to slip, budgets to balloon and eventually projects to fail.

We kick things off in in the first podcast by explaining how we will glimpse into the future of each major industry.

Higher education is in crisis. Is this a temporary setback or are we on the cusp of a more permanent and fundamental shift?

Organizations are getting better at using data to predict the future to their advantage. To understand what comes next and where predictive analytics might be heading to, we speak to Shane De Zilwa, and expert in the field.

Cyber crime is not slowing down. Despite rapid increases in technology and defensive measures, the number of breaches and losses continue to rise and there doesn’t appear to be decline in the trend in sight.

Artificial intelligence or AI, is rapidly becoming mainstream. AI is already at work all around us – from recommending what we watch next on YouTube to powering self driving cars.

This three-part webinar series provides a comprehensive guide to strategic transformation. In Session 1, we cover the foundational elements of strategic transformation, including how to identify opportunities, set transformation goals, and create a roadmap informed by data and industry research. The emphasis here is on data-driven decision-making. In Session 2, the focus shifts to the execution phase, covering effective communication, stakeholder engagement, and the use of agile project management techniques. Real-world case studies illustrate common pitfalls and how to avoid them. Finally, in Session 3, the series addresses sustaining success and continuous improvement, highlighting the importance of embedding a culture of innovation, measuring and refining transformation strategies.

This article explains what technical debt is and the problems it can cause for an organization's technology and operations. It provides examples of technical debt and suggests approaches for identifying, classifying, and resolving it. The article also discusses tools and metrics that can be used to manage technical debt effectively. Finally, it discusses the roles and responsibilities involved in addressing technical debt and suggests ways to secure funding for resolving it.

This document is intended for business leaders and IT managers considering or currently managing outsourced Application helpdesk services. It provides insights into optimizing these services to achieve the best possible alignment with in-house development teams and business objectives.