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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Companies across many industries face pressures from disruptive companies using technology in entirely new ways to saturate the market. Progressive companies tasked with this challenge realize the benefits inherent to enterprise architecture (EA) or capability-based planning. EA is reemerging as a practice that allows business and technology to respond to major transformation in an orchestrated way, paving the way for the CIO to approach technology enablement with a new mindset.
As you probably know, Kanban boards, whether physical or online, are used as a tool for supporting Kanban. The success of Kanban has led to the creation of several excellent implementations of online Kanban boards. With such easy availability of these well-crafted tools, can we put them to other uses? As we explore in this Executive Update, if we step back and look at Kanban boards merely as information management tools, we find some very useful patterns of use. Let's dive in.
This Executive Update reveals that selected organizational and project factors encourage the use of Agile methods, while others discourage their use. While an understanding of adopting and using Agile approaches is emerging, more research -- preferably based on empirical data from real projects -- is needed to give better directions.
I've been spending a lot of time with social media analytics and exploring how organizations are adopting and applying the technology. There are a number of obstacles confronting organizations seeking to implement social media analytics. These include technical and organizational considerations, as well as dealing with societal or consumer concerns when it comes to privacy. The latter appear to be particularly troublesome for end-user organizations.
Different parts of an enterprise architecture evolve at different rates: some change frequently, while others take longer. So it is not surprising that the pace of change is seen as an important consideration when making EA decisions.
The Internet of Things (IoT) is already having a big impact on the transportation industry. Probably nowhere is this being felt more than with the railroads. I know of a number of projects under way utilizing sensors, analytics, and mobile technologies to optimize rail operations by collecting and analyzing data to determine real-time vehicle location and operating factors (e.g., average acceleration, speed, idle times, number of stops), and to assess KPIs on equipment wear and roadbed conditions.
This Executive Update invites you to reconsider a process-driven business process management methodology despite vendor training and previously conceived notions of how you plan and design for a BPMS.
There are many challenges that can potentially derail even the most promising BI opportunities. In this one-hour webinar, Cutter Senior Consultant Nancy Williams, coauthor of The Profit Impact of Business Intelligence, will help you overcome some of the common challenges that prevent organizations from deriving full value from their BI program and identify new BI-driven profit opportunities.