Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Insight
In our survey covering the use of open source software for data warehousing and BI, conducted last April, I noted that 14% of end-user organizations surveyed indicated that at that time they were using open-source databases for (target) data warehousing and data mart databases. Another 7% said they planned to do so within the next 6-12 months.
Enterprise architecture, as with many other approaches or methodologies, is sometimes perceived as yet another buzzword or promise of paradise for managers, although not for operational workers for whom it may frequently be something abstract, incomprehensible, remote, and perhaps potentially dangerous. Among the few companies that have begun their struggle with EA implementation, only a minority can be described as really successful.
In February, I discussed the convergence of the "two BPMs": business PROCESS management (BPM) and business PERFORMANCE management (see "Merging the Two BPMs: Opportunities Abound," 21 February 2006).
When people ask me when I first became interested in enterprise architecture (EA), I tell them that I've always been interested in really large systems problems, but it was probably when I first began to work on Data Warehousing that I came to understand the essence of EA. My reading of data warehousing history is that the discipline goes back to some IBMers working in Europe in the early/mid-1980s.
In October, OASIS (Organization for the Advancement of Structured Information Systems) approved the Reference Model for Service Oriented Architecture V1.0. A lot of people have been asking what it is, what to do with it, and how it will impact their SOA initiative.
The reference model document itself states:
In my role as enterprise architecture (EA) and service-oriented architecture (SOA) consultant, some o
Many IT organizations are beginning to implement service-oriented architectures (SOAs), yet some