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

The number of data warehousing appliances -- prepackaged hardware/software offerings designed for specific applications such as data warehousing and BI -- on the market continues to grow.

Your organization may have recently decided to adopt Agile software development for its value proposition: project ROI, employee retention power, reduced software development pains, and so forth. Thus, your organization's leadership is now putting together its Agile enablement plan, covering such aspects as transition strategy, candidate projects and teams, community development, and transition leadership and support.

 

Much has been written about enterprise architecture (EA) and service-oriented architecture (SOA). And success with each is dependent on the other.

At Smart World 2004, Sunil Gupta of SAP paraphrased Samuel Taylor Coleridge by saying "Data, data everywhere but not a byte to use."

One of my clients is building a new stock market Web site. The site is primarily centered on the display of information. Like many projects, the company is in a rush and doesn't want to spend a lot of money. We evaluated several different approaches and finally settled on Ruby on Rails.

According to findings from a recent Cutter Consortium survey (conducted in March 2007) of 119 end-user organizations based worldwide that I've been analyzing, many organizations are now facing the need to consolidate disparate data marts and data warehouses.

Last fall, I discussed some of the main ideas underlying the Web 2.0 and Enterprise 2.0 concepts (see "Enterprise 2.0: Hip or Hype?" 25 October 2006, and "Beyond the Hype: Enterprise 2.0 Considerations," 22 November 2006).

My initial analysis of the results of a Cutter Consortium BI and data warehousing survey conducted this month (March 2007) of 119 end-user organizations (based worldwide) indicates that the use of real-time (or near-real time) data warehouse updating practices is increasing.