Explore and critically think about some of the learning outcomes (See below). Please effectively communicate how you would lead an organization (or a group of people within the organization) by applying the knowledge you have learned ethically and responsibly.
Your discussion should also include innovative thinking, and information-technology aspects (such as the Internet, social-media, computers, and so forth) that may assist you in decision-making.
Learning outcome
You may frame your discussion around any functional component of business, and in any context; problem-solving, management, leadership, organizational behavior, and so forth
Concepts of Business Intelligence (BI), Analytics, and Data Science
Descriptive Analytics; nature of data, statistical modeling, and visualization, BI and data warehousing
Differentiate the various types of Predictive Analytics; Data mining process, methods, algorithms, text, web, and social media analytics, optimization and simulation.
Examine Big Data concepts and tools
Evaluate and appraise the new Trends and privacy, ethical issues involved in data science and analytics.
Be able to formulate a construct in terms of Managerial considerations in analytics.
7. Support and explain the Quantitative reasoning aspect of data science and analytics when making managerial decisions
from SCRUM perspective means an iterative and incremental approach to optimize predictability and control risk” (Tomanek and Juricek, 2012:385) By using Agile, risk is minimized as there are short iterations and clearly defined deliverables (Azanha et al., 2017) This is seen as the solution to going over budgets, missing deadlines, and low-quality outputs in projects. An example of this comes from a study administered by Augustine et al. (2005) showcased a project failing and behind schedule using traditional PM methodology such as Prince2. Called in to recover the project, Augustine and Payne used Agile to rescue and sustain the project. As a result, the project was completed within 5 months, within the timeframe and budget and with increased customer satisfaction and business value. Communication with Stakeholders Unlike traditional methodologies which use extensive documentation, to develop the project Agile offers direct communication with stakeholders (Azanha et al., 2017) Agile decreases waste deeply rooted in redundant project meetings as well as repetitive planning and excessive documentation (Rigby, Sutherland and Takeuchi, 2016) The underpinned principles of Agile project management gives more authority to project team members as Agile encourages self-managing teams (Mahalakshmi and Sundararajan, 2013; Agile practice guide, 2017) The involvement and commitment from the project team leads to an increase in motivated (Azanha et al., 2017) However, this could also viewed as a weakness. As in Agile approaches such as SCRUM, the dedication from team members is important and team work is deeply essential. Agile Alliance (2001) state that for a flat and autonomous management structure agile project management teams should contain more individuals. Due to this, if there’s a lack of cooperation, the project will face failure (Mahalakshmi and Sundararajan, 2013) Despite these strengths, Agile mustn’t be used for all projects as it is most suitable for projects that are dynamic with complex problems and unclear solutions (Rigby, Sutherland and Takeuchi, 2016) Understanding the depth of the project before deciding on the project management methodology used is important (Priyanka, 2016) The projects have uncertainty and constant change as traditional methods such as Prince2 don’t have the flexibility to adapt to change within the project (Azanha et al., 2017; Rigby, Sutherland and Noble, 2018)