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.
Recently Published
This Executive Report develops a simple microarchitecture framework as a foundation for additional innovative architectural views of the structure and behavior of enterprises. The framework helps revitalize EA for the era of digital transformation, services-based enterprises, and a new generation of Web-savvy leaders.
In the report, we first review the current state of the EA discipline in terms of successes and ongoing obstacles that call for further development of the profession in terms of delivering true business value. Next, we introduce a services-based architectural viewpoint and model kind: the service-role-player (SRP) viewpoint.
The accompanying Executive Report is certainly not the first attempt to articulate an inclusive set of value propositions for enterprise architecture (EA). The scope of this discipline is matched only by the purview of the CEO and board of directors, or, say, an executive director in a public sector organization. The EA function is responsible for the joined-up representation of the enterprise elements and interfaces. This inclusive definition requires EA to provide joined-up views of the elements of the enterprise, along with their static and dynamic interfaces.
When it comes to IoT applications, high-performance analytic databases typically serve to handle in-depth analytic processing needs -- especially applications that require combining machine data analysis with other forms of enterprise data analysis (e.g., billing, customer profiles, mobile usage) to support comprehensive analytic requirements.
This Executive Summary outlines some of the actions your organization can take to benefit from Agile practices applied to BI projects.
Enterprise-grade data warehouse (DW) and business intelligence (BI) projects are still perceived as "heavy" and believed to be successful only by attacking them with waterfall-style software development processes. While there are specific DW/BI endeavors that project teams can safely execute as waterfall, most can be successfully transformed into Agile projects. This Executive Report shares experiences gained while applying an Agile approach to a complex BI project.
The impact of robotics is hot in current debates, but this must be seen within a larger context and on a longer time horizon. Automation, involving all the SMAC (social, mobile, analytics, and cloud) technologies, and not just from robotics, may have the biggest impact of all, both on outsourcing and on its character. One of the reasons automation is compelling is the rapid decline in the cost of computing relative to the cost of labor.
There's managing the project, then there is managing the project with the future in mind. By that I don't mean, "What can I up sell to the client to make him come back for another project?" We should already be doing that to some degree, though trying not be too obvious about it. Our organizations are already looking to us as salespeople: looking for change orders, suggesting areas where other products or capabilities of our companies can help the project customer out. If you are a consultant like me, you are likely doing this all the time -- probably even in your sleep.