Organizations are grappling with the challenges of an ever-evolving business architecture landscape and are in the quest of business strategies, tools, and applications to ride over these challenges. From modernizing legacy systems to creating new applications to identifying the right business strategies, the idea is to align enterprise architecture (EA) with IT. This enterprise architecture approach is significant and relevant in today’s world. It’s intricate and challenging enough for many businesses. The most common way to define architecture elements is via standard architecture frameworks such as TOGAF, Zachman, DODAF, BIZBOK, FEAF, etc., which defines a robust meta-model. The need of the hour is to understand the nuances of enterprise architecture and manage it to realize long-term business goals.
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Measuring Business Architecture Health for Continuous Improvement

Faster Release Cycles for Hybrid Enterprise Application Platforms
Enterprises today, regardless of size, are made up of SaaS (Software as a Service), COTS (Commercial Off the Shelf), and set of bespoke apps. These are tools that assist decision making, business insights and customer journeys. Placing all three in a hybrid model made it easier to run things, but can we move forward from here? Highlighted in this blog is a quick look at automation as a solution, the challenges, possibilities, bottlenecks and benefits entailed. Also, included is a demonstration of applying unusual methods to enhance DORA (DevOps Research Association) driven maturity.

Cloud Migration – A Data & Analytics Perspective
Cloud computing and moving data to a cloud system is key to effective data management and security. Data migration need to be handled with care so that it is effective and efficient. There are some approaches around migration optimization, cloud adoption in the most seamless way, building cloud platforms and the best operating practices. Data strategies have to be customized and can only result out of exhaustive planning, choice of the best data analytics platforms. Know some of the reasons why data strategy is crucial for any organization, how to apply these migration strategies, factors that influence them, how to move data and the benefits gained.