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:
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.Read More
Successful architectural practices are founded on:
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.Read More