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.

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Insight

Data integration is a key issue for any enterprise. If data from multiple sources can't be mixed and matched, it gets hard to gather the right information at the right time. As a result, it becomes a major hurdle to make informed decisions within or across an enterprise and for employees to reach set goals. How can one overcome this obstruction of the lifeblood of a company (i.e., enterprise data)? One promising set of technologies is based on the Semantic Web.

ERP STRENGTHS AND WEAKNESSES

As a mature technology, enterprise resource planning (ERP) has a strong history of increasing productivity through organizational integration and the application of the packaged software concept. ERP provides the majority of computer applications associated with day-to-day business operations for medium-sized and large firms, including accounting, human resources management, and the coordination of manufacturing operations.

Everyone agrees that software agility is a good thing, and vendors have been the leading advocates.

In this Advisor, we'll consider some tactics for employing service-oriented architecture (SOA) techniques to improve your agile projects -- in other words, at service-orienting agile.

Service-oriented viewpoints are a way of gaining early measurable business value through reuse of existing services, including external cloud services as well as internal legacy services. Think of each viewpoint as a different pair of spectacles through which the analyst views the process.

Complex event processing (CEP) generated a lot of hype in 2007 and 2008. By 2009, however, the hype has died down. With the recent "Community Technology Preview" release of Microsoft SQL Server StreamInsight, I expect the hype meter to begin revving up once again.

The recent announcement by BI vendor MicroStrategy, Inc., that its BI toolset (MicroStrategy 9) has been certified to run on the VMware virtualization platform has me thinking more about the possible benefits and issues of operating BI systems in virtualization environments.

Recently, looking at scaling issues for a couple of multinational organizations, the issue of feature teams (customer-oriented) versus component teams (technically oriented) arose again. In an earlier Advisor (see "Feature vs.