Agile quantitative analytics in Financial Services

[tl;dr technology is empowering quantitative analysts to much more on their own. IT organisations will need to think about how to make these capabilities available to their users, and how to incorporate it into IT strategies around big-data, cloud computing, security and data governance.] The quest for positive (financial) returns in investments is helping drive considerableContinue reading “Agile quantitative analytics in Financial Services”

Know What You Got: Just what, exactly, should be inventoried?

[tl;dr Application inventories linked to team structure, coupled with increased use of meta-data in the software-development process that is linked to architectural standards such as functional, data and business ontologies, is key to achieving long term agility and complexity management.] Some of the biggest challenges with managing a complex technology platform is knowing when to safelyContinue reading “Know What You Got: Just what, exactly, should be inventoried?”

Achieving modularity: functional vs volatility decomposition

Enterprise architecture is all about managing complexity. Many EA initiatives tend to focus on managing IT complexity, but there is only so much that can be done there before it becomes obvious that IT complexity is, for the most part, a direct consequence of enterprise complexity. To recap, complexity needs to be managed in order to maintain agility – theContinue reading “Achieving modularity: functional vs volatility decomposition”

Achieving Agile at Scale

[tl;dr Scaling agile at the enterprise level will need rethinking how portfolio management and enterprise architecture are done to ensure success.] Agility,as a concept, is gaining increasing attention within large organisations. The idea that business functions – and in particular IT – can respond quickly and iteratively to business needs is an appealing one. The reasonsContinue reading “Achieving Agile at Scale”

Microservices in the Enterprise: Friend or Foe?

Originally posted on The Tai-Dev Blog:
A micro approach to a macro problem? The microservice hype is everywhere, and although the industry can’t seem to agree on an exact definition, we are repeatedly told that moving away from a monolithic application to a Service-Oriented Architecture (SOA) consisting of small services is the correct way to…

The Meaning of Data

[tl;dr The Semantic Web may be a CDOs best friend in their efforts to help the business realise the full value of enterprise data.] Large organisations with complex legacy infrastructure are faced with a dilemma: the technology that allowed them to grow and capture market share has reached a turning point in terms of theContinue reading “The Meaning of Data”

Strategic Theme # 5/5: Machine Learning

[tl;dr Business intelligence techniques coupled with advanced data semantics can dynamically improve automated or automatable processes through machine learning. But 2015 is still mainly about exploring the technologies and use cases behind machine learning.] Given the other strategic themes outlined in this blog (lean enterprise, enterprise modularity, continuous delivery & system thinking), machine learning seems toContinue reading “Strategic Theme # 5/5: Machine Learning”