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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Abstract

Organizational improvements typically address localized ailing areas or enterprise-wide transformations. Low ROI and high risk are commonplace. Lean and agile adoption often adds value, but some organizations still struggle to improve. This Executive Report by Masa K.

Organizations deal with pressure on a daily basis. Executive and managerial pressure frequently comes in the form of on-time delivery, cost cuts, and scope coverage; customer pressure usually comes in the form of feature requests and better quality; employee pressure continually asks for more time to finish tasks, fewer work hours, and better guidance.

When I get calls from new clients, they often start their story with the words, "We introduced agile 12 or 18 months ago on our own and had some success.

Middleware software adapters used between dissimilar technologies play an important role in data integration. Dissimilar technologies in this context could be ETL, database, an enterprise package solution, such as SAP, or any technology that can consume or source data. These middleware adapters could be developed by participating technology vendors, through a strategic partnership, or by a third-party independent software vendor.

Back in December, when making predictions for the upcoming year regarding important BI trends, I wrote that we could expect to see use of text mining and analysis increase in 2011, just as it has almost every year since we've measured its adoption (see "What Lies Ahead: BI and D

Agile software development involves people working together, across disciplines, to deliver business value efficiently. While the Agile Manifesto states that agile development values "responding to change over following a plan" and "working software over documentation," that does not mean plans are not important. A plan allows you to measure your progress, focus your efforts, or, more important, present a target that stakeholders can invest in.

Software development has been full of fast-paced advancements, with a focus on increasing efficiency and reducing cost/efforts for stakeholders. Applying these changes forms a crucial part of the reusability concern that has been at the forefront of new business initiatives or development. Reuse has been central to many of the development models as have such tenets as "don't reinvent the wheel" and "don't repeat yourself."

A Cutter Consortium survey conducted in February/March 2011 of 60 end-user organizations based worldwide1 helps provide some insight into corporate BI and data warehousing spending trends.