Summary of the Article
In the study of Prikshat et al. (2019), “Work-Readiness Integrated Competence Model” (WRICM), the author emphasizes four types of expertise: technical expertise, personal effectiveness, expertise connected to one’s job, and strategic expertise. Work-related competence is a broad concept that includes skills like problem-solving, planning, and organization. Methods of Planning for Technical Managers are a part of this category. The authors contend that technical leaders need a range of talents, including the ability to plan strategically, to be fully employable and effective in their roles. In particular, it has been discovered that developing and implementing effective planning methods is a crucial competency for technical leaders to manage resources effectively, meet deadlines, and complete projects. Planning techniques, as described in the article, include the following actions: creating and implementing plans to handle complicated problems; allocating resources; identifying and responding to risks; and evaluating success concerning goals. However, this article suggests that technical leadership training and development programs should focus on enhancing strategic planning skills to provide the best possible outcomes by making strategic planning a central component of leadership preparation. Prikshat et al. (2019 provide a battery of measures for gauging technical leaders’ proficiency in the areas covered by the WRICM to facilitate their employability assessments.
However, the article suggests that technical leaders might benefit from developing and refining their planning techniques as part of their pre-work routine to advance in their respective organizations. Methods of planning involve formulating and carrying out strategies for resolving complex problems, allocating resources, assessing risks, and keeping tabs on development in the direction of set goals. Leaders in technical fields with these skills may better manage their teams’ time and money to get more done. Further, the article stresses the need to develop technical competence, personal effectiveness, work-related competence, and strategic competence while planning for employment. Developing and enhancing these abilities might make individuals more employable and successful in their chosen fields. Also, the measures proposed for judging these skills may be used to gauge an applicant’s level of professionalism and help pinpoint problem areas in a candidate’s performance.
Why It Is Important To Understand Evidence-Based Management and Data Analytics in Decision-Making
In today’s fast-paced technological landscape, technical leaders must be well-versed in evidence-based management and the importance of data analytics in making informed decisions. In business, data analytics refers to examining data to conclude how a company runs. Data analytics is the process of analyzing and utilizing data to guide decision-making, whereas evidence-based management is the process of using the best available evidence to guide decision-making (Rousseau, 2020). Evidence-based management and data analytics may help you make better decisions. For starters, technology leaders can make decisions based on accessible data and facts rather than their personal preferences or biases. As a result, this approach may improve overall performance and efficiency while decreasing decision-making risks.
Secondly, relying on evidence-based management and data analytics might be useful for seeing patterns and trends that would otherwise be difficult to notice with intuition or observation alone. As a result of using data analytics tools and procedures, technical leaders may find previously unnoticed insights. Consequently, you may get insight into your organization’s inner workings and identify possibilities for growth.
Furthermore, to be successful in the context of work-ready competencies in technical professions, an understanding of evidence-based management and data analytics is essential. Technical leaders must be adept in planning, organizing, and problem-solving; these skills are crucial to making informed decisions and using data analytics. These are essential skills for any technical leader to have. For instance, technical leaders need to prioritize objectives, allocate resources, and create strategies to achieve these objectives to succeed in planning and organization. The dangers and opportunities uncovered by using these data analytics tools and techniques may influence subsequent choices. The use of data analytics methods may help direct this action.
Similarly, technical leaders who want to resolve problems must dissect complex problems and develop workable, time-saving solutions. Using the tools and techniques of data analytics helps with collecting and analyzing relevant data, spotting trends, and producing insights that lead to problem-solving (Rousseau, 2020). When technical leaders use an evidence-based approach to addressing problems, they may find more precise and successful answers. When this happens, it improves the company’s bottom line.
Data analytics and evidence-based decision-making are the most crucial parts of my leadership style as a technical leader. The following steps would be required: Creating a culture where data is used to determine decisions. As a technical leader, one of my goals would be to instill in my team the habit of using data analytics to inform decision-making and issue-solving. If I were in charge, I would ensure everyone on the team got the resources they needed to succeed, including opportunities for training and advancement.
My approach to identifying KPIs would be to consult with my team to establish which metrics are most important for achieving our business goals. To achieve this goal, we need to define metrics for tracking performance and outcomes and then use data analytics to identify recurring patterns and emerging trends (Kinicki et al., 2011). With my team, I would establish specific objectives for the business, aligning them with the company’s long-term objectives. The first step is to identify the most pressing issues and opportunities, and the second is to create a detailed strategy for achieving your objectives. In addition, constantly keeping tabs on and evaluating performance: The data analytics tools at my disposal and the KPIs we agreed upon enable me to carry out these duties successfully. Hence, this would allow us to adjust our strategy as needed and verify that we are headed in the correct direction.
References
Kinicki, A., Williams, B. K., Scott-Ladd, B. D., & Perry, M. (2011). Management: A practical introduction. McGraw-Hill Irwin.
Prikshat, V., Kumar, S., & Nankervis, A. (2019). Work-readiness integrated competence model: Conceptualization and scale development. Education+ Training, 61(5), 568-589.
Rousseau, D. M. (2020). The realist rationality of evidence-based management. Academy of Management Learning & Education, 19(3), 415-424.
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