Enterprise Architecture has been understood as a formal concept since before the turn of the millennium, emerging as a real-world discipline arguably with the publication of TOGAF 7 in 2001.
This provided a widely accepted basis for practice of EA and, as a result, we might imagine that it should by now be reaching a state of maturity and consistency. The case for EA is strong, and is becoming well accepted, at least in principle, across most large and medium sized organizations.
However, there remain significant concerns about its applicability and practicality, leading many inside IT and in the broader business community to question its long term value proposition.
This book gives guidance on the quality of data within a business organization for those with a concern that the potential value of data in the environment is not being realised, and those charged with improving the situation.
Guy is a senior consultant with over 25 years experience in IT. He has significant specialist knowledge in the areas of Enterprise Architecture and Corporate Information Management, reinforced by a wide experience in implementing these ideas in large-scale businesses.
There is no question that today’s business environment faces unprecedented challenges. Forces like globalization, changing demographics, harsh economic environment and rapidly changing technology are creating challenges and conditions never experienced before. In this new world, volatility, uncertainty, complexity and ambiguity seem to be pervasive. The only certainty seems to be that these so-called VUCA factors are set to drive unstoppable and accelerating pace of technological advance.
Successful architectural practices are founded on:
Enterprise-level Data Architecture provides the basis for strong and effective control of data as it passes through an organization. It has both upward-facing (towards the business use of information and downward-facing (toward the storage and control of data in databases) functions, allowing it to bridge between the intended and actual nature of the data.
The most important data elements should have their life-cycles well understood and documented, and effective data governance should be put in place to ensure that data quality is consistently maintained. Data Architecture provides the underpinnings to this understanding and control, defining the authoritative nature of each data element, its path through the organisation, and the responsibilities for ensuring its quality.
At Doriq, we have many years experience in defining and implementing data architecture in large, complex organisations, and have the benefit of global thought leadership in several areas of data management. Our books have been cited by professional bodies as a major influence on the development of effective practices in this area over the last twenty years.
No business can hope to thrive unless it has a clear understanding of its own business model. In the full sense, this implies a current, accurate and well-accepted definition of a number of factors, including such fundamentals as:
In a previous post (Black Swans and Supermen), we discussed the role of so-called Horizon Scanning in dealing effectively with digital (and other) business disruption.
This post explores in more detail just what this activity might involve, the role played by the Business Architecture function, and some ideas about the frameworks and methods that can be employed to perform horizon scanning effectively.
A lot has been written about disruptors (and particularly digital disruptors) over the last couple of years. By necessity, many enterprises adopt a reactive approach to disruptors, but there are significant ways for enterprise business architecture (EBA) to underpin a stronger, more advantageous stance.
Enterprises tend to be considered as either digital predators or digital prey. Experience suggests that the major differentiator between these - those who take advantage of disruption and those who fall victim to it - is the extent that they understand and take account of the business architecture for their whole ecosystem.