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

Companies are now using business intelligence in concert with active wireless RFID tags deployed on company equipment and personnel in order to better track, monitor, and manage such assets in real time.

In The Art of Agile Practice, I discuss why organizations should embed the values and practices of Agile within their existing planned and formal approaches and how they can go about doing so.

As the role of enterprise architecture widens in scope, the number and variety of stakeholders increases. And as the complexity of the EA landscape increases, requirements become more fluid and difficult to define.

With over 2,000 collaboration vendors offering solutions, is it hard to determine which is the best one for your organization? Or is that the wrong question?

Big Data is having important effects upon infrastructure requirements, particularly as we move into a need for real-time analysis and prediction.

Based on my professional experience in both the large enterprise and startup worlds, I believe that business intelligence (BI) and the general category of analytics for business can benefit greatly from the application of Agile development methodologies.

I hope this issue of Cutter Benchmark Review gave you food for thought and some useful guidance as you consider your current and future Agile data analytics efforts. I'll wrap up the issue by pointing out a few things that really stood out for me -- both in the data and our two articles -- and which point the way to specific actions:

SURVEY DEMOGRAPHICS

This survey examined organizations' understanding of Agile data analytics; the drivers behind, the goals and benefits of, and the barriers to Agile data analytics; the maturity and use of various data capabilities; and whether a data governance program has been implemented. Fifty-five percent of the 51 responding organizations are headquartered in North America, another 22% in Asia/Australia/Pacific, 14% in Europe, and 6% in Africa, with the remainder headquartered in South America and the Middle East.