Global perspective to help you take advantange of the opportunities of the digital age
The objective, experience-based opinion and insight found in Cutter Business Technology Journal gives your organization the skills and vision it needs to address the spectrum of challenges ongoing business model changes and new technologies bring.
This issue of Cutter IT Journal offers a variety of perspectives on what is required to ensure success in big data analytics, covering topics from methodologies to architectures, as well as a dive into one of the key technologies of the field. Our authors provide five distinctly different views on where you should direct your attention over the coming years of evolving BDA practice.
- Cultivating Success in Big Data Analytics — Opening Statement
- Big Data and Lean Thinking: Balancing Purpose, Process, and People
- A Strategic Approach to Big Data: Key to Analytical Success
- Maximizing Analytic Value: Attributes a NoSQL Analytics System Must Have
- Challenges to Maximizing the Value of Future Innovation in Big Data Analytics
- Enabling Agronomy Data and Analytical Modeling: A Journey
In this issue of Cutter IT Journal, we have assembled four articles that address different choices created by information systems, along with the many ethical questions raised by the algorithms that underpin them.
In this edition of Cutter IT Journal, we focus your attention on an important issue facing us in leveraging the potential of the IoT: data management and analytics. To do so, we bring to you five excellent discussions around the IoT. We plucked these articles from an overwhelming response to our call for papers, identifying those with a fine balance of the rigors of theory and research together with examples and case studies that discuss direct practical applications of IoT.
- IoT Data Management and Analytics: Realizing Value from Connected Devices -- Opening Statement
- Solving the Jigsaw Puzzle: An Analytics Framework for Context Awareness in the Internet of Things
- IoT Data Management Challenges: A View from the Trenches
- Exploratory, Embedded, Enabled: The Three E’s of IoT Data Management Maturity
- Leveraging EA and IoT Synergy for Digital Transformation
- A Common Thread: Applying Hex Elementalization in IoT Data Analytics
A cursory description of the technical debt problem oversimplifies and overlooks many important details. For instance, the differences between technical debt and other kinds of debt, the different forms of intentional and unintentional technical debt, the specific coding sins that lead to technical debt, or the steps needed to both eliminate current debt and prevent future debt. On that last front, opinions vary widely, from "Run a static code analysis tool once in a while" to "Just don't write poor code." Fortunately, in this issue of Cutter IT Journal, we have many good articles that help flesh out these critical details.
- Technical Debt: The Continued Burden on Software Innovation -- Opening Statement
- Technical Debt: It's Not the Real Problem
- Using Technical Debt to Make Good Decisions
- Managing Technical Debt with the SQALE Method
- The Psychology and Politics of Technical Debt: How We Incur Technical Debt and Why Retiring It Is So Difficult
- Addressing the Hidden Obstacles to Innovation and Digital Disruption
- Vendor-Driven Technical Debt: Why It Matters and What to Do About It
Emerging technologies and digital disruption will transform the enterprise, but they will also transform the ways in which we architect. What will this mean for enterprise architecture in general and for the role of the enterprise architect?
- Disruption and Emergence: What Do They Mean for Enterprise Architecture? — Opening Statement
- Disrupting EA
- Leveraging EA to Incorporate Emerging Technology Trends for Digital Transformation
- Big Data vs. Enterprise Architecture
- Managing Disruption in Enterprise Architecture: The Personal Cloud in Healthcare
- EA for the 21st Century