Guidance in DELIVERing VALUE through architecture
You can create and deploy business and enterprise architectures that improve organizational understanding, increase business opportunities, support agility, and deliver value. Cutter’s Architecture team delivers continuous insights based on their hands-on experience assisting organizations worldwide.
For many enterprise architects, the concept of systems thinking is almost synonymous with EA. But knowing about systems thinking and applying that knowledge in our daily work can be very different things. Is that finally starting to change? Is systems thinking finally hitting mainstream EA?
The Internet of Things (IoT) is expected to generate incredible amounts of data from a myriad of connected consumer devices and industrial applications. Achieving business value from this massive data stream will require the use of big data storage and analysis technologies that have the ability to scale to meet the constantly increasing demands placed on organizations. Of course, this brings up the question: just how familiar are organizations with the various big data technologies? A Cutter Consortium survey that asked 80 organizations worldwide about their IoT plans helps offer some insights into this question.
An effective EA measurement program typically begins by identifying a set of precise and easy-to-use metrics recognized by both business and IT organizations across the enterprise. At a strategic level, EA metrics establish a number of quantifiable parameters that enable practitioners to assess and evaluate the EA program, the IT assets employed, and their relevance to delivering business value for the enterprise. At a tactical level, EA metrics include parameters that impact the EA and its effectiveness across the organization — both directly and indirectly.
“In-silo” transformations of specific portfolios pose considerable challenges. This Executive Update offers some key considerations for the planning phase of such transformations and highlights a few challenges and possible solutions for the design and implementation of an in-silo operating model.
The digital economy calls for inside-out exposure of core business processes across the enterprise to enable the seamless integration of data across partner ecosystems, social computing platforms, hyperconnected customers, and self-learning machines. More than ever, today’s digital world forces enterprises to quickly course-correct their business strategies and operating models to stay afloat. Course-correcting strategies and changes in operating models call for a robust foundation that is nimble and agile enough to adapt to both internal and external changes.