Innovation Engineering Framework
The Integrated Value Chain for Complex, Large-Scale Information System Delivery
Please Read the Privacy Policy Before Continuing
Advanced Digital Transformation - Projects
Our company has been an effective leader in developing Information System solutions, offering expert advice and practical, hands-on strategies to organisations worldwide for several decades.
Recently, the company piloted a Real-Time Marine Telemetry System to evaluate and mitigate harmful conditions in the Portuguese Atlantic Ocean, which could contribute to developing marine resources for developing treatments for incurable diseases. Additionally, it developed a prototype for African Language Music Translation, aimed at enriching cross-cultural listening and learning experiences. Furthermore, the company developed a protoype for Digital Practice Automation to advance the deployment of conventional and emerging technologies.
As a values-driven system architect, our director is distinguished by his commitment to integrity, performance and quality. He consistently sets his company apart in an industry where ambiguity, waste and mediocrity are all too common. Beyond his company’s immediate endeavors, he strives to leave a lasting legacy for future generations by introducing authentic methods that provide impactful benefits through applied computer science.
Advanced Digital Transformation - The Modern Engineering Strategy for Digital Solutions
Inspire and motivate human ingenuity to thrive in the face of complex social, economic and environmental issues.
Advanced Digital Transformation - Conext
Richard Feynman initially asserted, likely in his book “The Pleasure of Finding Things Out,” that IT emerged from the imperative need to perform complex calculations within the unforgiving timescale of the Manhattan Project. However, the term “Information Technology” was formally introduced in a 1958 Harvard Business Review article by authors H. J. Leavitt and T. C. Whisler, who stated, ‘The new technology does not yet have a single established name. We shall call it Information Technology.’
Drawing inspiration from the evolution of economic principles in 1933, where microeconomics and macroeconomics were introduced, a similar approach can be applied to Information Technology. Introducing micro IT and macro IT domains may offer a solution.
Micro-level IT focuses on the quality of how individual computers and their components create, process, store, retrieve and exchange various types of electronic data and information. This level of IT is driven by the instructions, data or programs that operate computers and execute specific tasks. It encompasses the detailed interactions between hardware, firmware and software, as well as communications at the computer level, ensuring efficient and accurate data management and processing.
Whereas, Macro-level IT, which is central to Advanced Digital Transformation, focuses on the overall quality of control necessary for successfully delivering business change. This level of IT integrates processes for
- cultivating, evaluating, selecting and prioritising innovation and creative change
- transforming system requirements (or characteristics) into digital services aligned with goals, vision and values
- monitoring and ensuring the delivery of service performance against agreed standards, and
- reporting business intelligence related to project costs and benefits.
Advanced Digital Transformation - Challenge and Resolution
The initiative is grounded in the essential need to harness innovation and creative change to ensure the future well-being of our economic and social landscape. The convergence of emerging technologies, population growth, geopolitical instability, climate change and challenges related to human and technological aging underscores the importance of proactive adaptation to meet future needs.
“It is imperative to develop a more effective, efficient and equitable approach to applying computer science to complex societal, environmental and economic issues. We must strive to overcome status quo bias and avoid high-risk, limited-capability alternatives.” — PS
The core challenge lies in the complexities of computer system development, which are further compounded by the absence of an integrated strategy to coordinate and navigate processes such as business innovation, digital transformation, service delivery and value management. This lack of integration leads to misunderstandings, assumptions and omissions, resulting in ambiguity, project failures and, in some cases, disasters.
The proposed modern, systematically integrated architecture for fostering innovation and creative change is based on principles of good governance. It includes: a comprehensive process framework for optimal effectiveness; an information architecture designed to enhance efficiency; a seamless data interface for managing operational dependencies; and a real-time activity dashboard to support improved decision-making.
Advanced Digital Transformation - Digital Practice Management Integration
The progressive development of organisational design, in alignment with the evolving business and technology ecosystems, necessitates the implementation of efficient solutions characterised by transparency and fairness. A collaborative approach—encompassing streamlined public services, stakeholder capitalism and socially motivated investing, with an emphasis on prioritising purpose as a key driver of profit—can significantly contribute to the creation of functional markets, thriving societies and environmental protection. The seamless integration of information systems engineering processes with real-time intelligent technology is essential for achieving these outcomes effectively.
Within a process framework matrix, events seamlessly trigger workflow activity via the Digital Transformation Transfer Protocol (DTTP)—a critical set of embedded rules that interprets event data, manages workflows and delivers actionable behavior analytics.
These activities undergo validation and authorisation by key subsystems—Demand Control, Transform Control, Service Control and Value Control—each of which manages the operational dependencies within their respective domains. As events are processed, relevant data is updated in near real-time, feeding into the business intelligence systems to ensure that insights are current and readily accessible for decision-making.