Data is the key to taking a measured approach to change, rather than a simple, imprudent reaction to an internal or external stimulus. But it’s not that simple to uncover the right insights in real time, and how your technology is built can have a very real impact on data discovery. Data architecture and enterprise architecture are linked in responding to change, while limiting unintended consequences. DBTA recently held a webcast featuring Donald Soulsby, vice president of Architecture Strategies at Sandhill Consultants, and Jeffrey Giles, principal architect at Sandhill Consultants, who discussed a data-centric approach to enterprise architecture. Sandhill Consultants is a group of people, products and processes that help clients build comprehensive data architectures resulting from a persistent data management process founded on a robust Data governance practice, producing trusted, reliable, data, according to Soulsby and Giles. A good architecture for data solutions includes: RISK MANAGEMENT Strategic Regulatory Media Consumer COMPLIANCE Statutory Supervising Body Watchdog Commercial Value Chain Professional Enterprise architecture frameworks start with risk management as its building blocks, Soulsby and Giles said. A typical model asks what, how, where, when, and who. A unified architectural approach asks what, how, where, when, who and why. This type of solution is offered by Erwin and is called Enterprise Architecture Prime 6. According to Soulsby and Giles, the platform can achieve compliance, either regulatory or value chain; can limit unintended consequences; and has risk management for classification, valuation, detection and mitigation. erwin and Sandhill Consultants offerings will provide a holistic view to governing architectures from an enterprise perspective. This set of solutions provides a strong Data Foundation across the Enterprise to understand the Impact of Change and to reduce Risk and achieve Compliance, Solusby and Giles said. An archived on-demand replay of this webinar is available here.
via The Building Blocks of Great Enterprise Architecture for Uncovering Data — Architectural CAD Drawings
To be able to be a really Data Driven, an organisation performs a Data Management discussion throughout the whole organisation.
Source: Data Architecture in a digital world; empowering the Data Driven Enterprise
Who is a data subject in GDPR? – An identifiable natural person, who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person. #AbhiSrivastava, #GDPRArticle4, #GDPR, #DataSubject