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 the first Executive Update of this series concerning agile code priorities (Vol. 7, No. 16), I presented a priority scheme for making code-related choices. Here in Part II, I'll go over a few different scenarios in which these priorities may be used, and I'll discuss which specific choices are best in each scenario.
INTRODUCTION
The novel A Tale of Two Cities 1 begins with the oft-quoted line, "It was the best of times, it was the worst of times...." Although these words were written to describe the situation prior to the French Revolution, the same words could apply with equal force to the situation consumers face today with respect to protection of their private information.
In my previous Advisor for Cutter Consortium's Enterprise Architecture advisory service (see "User's Needs Analysis or Requirements Analysis?" 7 June 2006), I argued that it's not always safe or wise to entrust all requirements analysis to the contractor.
In my last Advisor (see "Domain-Specific Languages," 30 August 2006), I talked about domain-specific languages (DSL), where a DSL defines the design elements, or abstractions, for building solutions in a particular domain, using the concepts, terminology, and notation of that domain.
The purpose of enterprise decision management (EDM) is to automate (and impart consistency to) the decisions associated with such activities as marketing, product recommendation (i.e., personalization), pricing, workflow management, and compliance. To date, most of EDM coverage has focused on the use of business rules management systems (BRMS) for implementing the decision processing functionality underlying EDM applications.
When implementing a SOA, one of the biggest challenges is what service gets implemented first. Merely putting an SOA wrapper in front of an existing application runs the risk of tying the functions of your SOA architecture to the stove-piped legacy systems that you currently have. To identify the first SOA application, you really need a clear understanding of your overall SOA strategy -- and that takes time.
SeeWhy Software is offering a version of its real-time BI platform free for download. With SeeWhy Community Edition, SeeWhy Software is stealing a page from the open source community's strategy in order to accelerate interest in its products and services.
Over the past few years, the value of enterprise architecture (EA) has become preeminent for many companies in their business-wide application integration initiatives. This trend is evident in both government agencies as well as commercial sectors across the global IT industry.