During my last assignments I had the rewarding task to drive the introduction of an enterprise architecture repository (EAR).
Among some skillful and motivated architects we exercised the usual stakeholder assessment, identifying their concerns and influence, setting goals and aligning them with the strategic and tactical goals of the organization.
What skills make a better architect? Obviously that depends on WHAT architecture we are talking about. (See my last post:
https://www.syntouch.nl/architecture-roles, https://www.linkedin.com/pulse/structuring-forest-architecture-roles-harald-van-der-weel ).
“What architects do I require in my organization?”, “What architect could I be?”. Two different questions. One from a customer, the other from a colleague or job applicant. Both questions are related: They both assume (in a way) a clear distinct separation of the architecture domain into roles. Based on job titles, advertisements and function-descriptions there are dozens of architecture-roles used in the field: information architects, enterprise architects, solution architects, software architects… and so on, and so on. You most likely have a feeling about their supposed meaning and responsibilities, just like I do.
Big Data, fast data, predictive and prescriptive analytics-… they are here, and they are here to stay. The opportunities are evident, and the technology already available.
Making the right investment choices is a complex issue. Especially when there is already a BI solution in place. In that case: What is the best approach to embrace the promises of Big Data?
Hadoop has evolved into a complex ecosystem, consisting of several open source products , frameworks and initiatives by the Apache organization.
This article aims to provide an overview of the eco-system in a structured way.
(Dutch Data Science Summit 2014 – Eindhoven, 4 Dec. 2014)
It is already clear that Data Science, Big Data and Analytics are true game changers that will generate business worth of trillions of euros over the next decade. This paradigm is closely connected with other relative new concepts like Internet Of Things (IoT), Cloud, Social Media and Mobility.
The applications of Data Science are beyond imagination. Some of the examples are Decision Management, Customer Intelligence, Preventive Maintenance, Risk Modelling, Operations Optimization, Security and Fraud Detection and even Psychological and Social research.
BPM Operational Model
Recently Professor Mark von Rosing (BRP and EA Guru) provided me with feedback and asked me if he could use it in a book to be published this year. I have agreed and based on his input and my own experiences over the last year I’ve updated the model.
