Veteran engineers: What business term(s) did it take you a while to wrap your head around?
2. Supply Chain Management (SCM): SCM refers to the management of the flow of goods and services from the point of origin to the point of consumption. While engineers may have a good understanding of the technical aspects of manufacturing, SCM involves a much broader perspective that includes logistics, procurement, and vendor management.
3. Key Performance Indicators (KPIs): KPIs are metrics used to measure the performance of a business or a specific process. They are used to evaluate the success of a project, department, or organization. Understanding how to identify and measure KPIs can be important for engineers who are involved in project management or product development.
4. Gross Margin: Gross margin is the difference between revenue and the cost of goods sold. It is an important financial metric used to evaluate the profitability of a product or service. Engineers may be more focused on the technical aspects of product development and may need some time to understand the impact of gross margin on the business.
5. Cash Flow: Cash flow refers to the amount of cash that is coming in and going out of a business. It is an important financial metric that can indicate the financial health of a company. Engineers may be more focused on technical aspects like product design and development and may need some time to understand the importance of cash flow for the business.
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Limited environment/Infrastructure resources31%
Inability to quickly identify the root cause of CI/CD pipeline failures45%
Lack of standardized CI/CD pipeline templates across the organization53%
Integrating security tools - inefficient security implementation leading to false positives38%
Poor communication across business and product teams/coordination challenges26%
Cost/resource management26%
Implementation of CI/CD into on-going projects and workflows22%
Internal resistance: training issues, culture, etc.14%
Inefficient implementation of CI/CD due to lack of expertise, poor training, etc.19%
Poorly written unit and acceptance testing9%
We are not doing regression testing10%
25% manual, 75% automated50%
50% manual, 50% automated28%
100% manual, 0% automated8%
Don't know2%