The Future of Business Conduction in the United States

These phases include creating a sense of urgency, forming a strong coalition, developing a vision and strategy, effectively communicating the vision, empowering employees to act on the vision, planning for short-term wins, consolidating improvements, and continuing to make further changes of big data analytics in their organization. Six Sigma is a framework that was initially developed in the 1980s as a model for continuously improving business processes (Samman & Ouenniche, 2016). Bill Smith is credited with creating the Six Sigma framework. Six Sigma is an effective method for identifying and eliminatingEmbedding new approaches into the corporate culture is crucial. If utilized properly, Kotter's theory can assist leaders in overcoming resistance to change within the company, leading to organizational transformation and adoption (Kotter, 2007). 

Kotter's model offers a valuable perspective for comprehending the change management process employed by the leaders involved in implementing big data analytics. 

When change management is implemented effectively, it has the power to bring about behavioral change in the team and enhance the organization's ability to achieve positive results during implementation (Baek, Chang, & Kim, 2019). Thus, the main goal of the management and project team was to bring about positive change through the implementatioThere are various factors that contribute to defects or errors, which can have a negative impact on cycle times and operational costs. However, by focusing on improving productivity, maximizing asset utilization, and exceeding customer expectations, businesses can effectively address these issues (Samman & Ouenniche, 2016). Two Six Sigma methodologies commonly utilized are DMAIC and DMADV, which are employed to facilitate the change process within an organization. The DMAIC and DMADV techniques are highly effective and productive in improving the business process. Although both techniques share important characteristics, they are not interchangeable and serve different purposes in various business processes or change initiatives. The study utilized the DMADV approach. DMADV outlines the consumer's requirements in relation to a service or product. There are five Six Sigma principles for DMADV: define, measure, analyze, design, and verify (Samman & Ouenniche, 2016). Motorola implemented Six Sigma, a quality improvement program, to enhance its quality, reduce costs, increase profitability, and optimize business processes (Chen et al., 2017).

Definitions in Action

Here are the essential definitions used in the research study. The definitions provided describe the association of the study to the terms commonly used in academic and business practices. Big Data Analytics: Big data refers to the constant generation of data from various sources and in different formats, including structured and unstructured data (Grover et al., 2018). Change management refers to the process and methods used to bring about changes in business strategies, project plans, or organizational goals and objectives (Stouten et al., 2018). Cloud computing refers to the sharing of software, resources, and IT services among multiple hardware computers. This allows for easy implementation and minimal involvement from the vendor (Botta, et al., 2016). Data Analytics: The concept of data analytics involves the gathering and analysis of data from a central source to provide insights into the current and future state of an organization (King, 2016). Organizational change: It involves transitioning from one stage to another, influenced by leadership, to improve the company's position (Espedal, 2016).  The utilization of big data technology in an organization also enhances business operations, financial performance, and an organization's competitive edge. Therefore, company leaders might want to consider implementing big data analytics as an opportunity to eliminate waste from their current process, improve business processes, and enhance organizational performance. Therefore, it was anticipated that combining Kotter's change model and the Six Sigma model would serve as a suitable framework for examining and comprehending the tactics employed by IT leaders to effectively implement big data analytics.

Considerations, Boundaries, and Scope

Strategy: The concept of strategy involves determining the scope and direction that organizational leaders will take in order to achieve their desired outcomes (Reimer et al., 2016) .The software development life cycle (SDLC) is a framework that outlines the tasks performed at each step of the software development process. Structured data refers to data that is organized and stored in relational database management systems (Zhan & Tan, 2018). Unstructured data refers to data that cannot be easily organized using traditional database tables. Examples of unstructured data include picture images, log files, photos, e-mails, crowd-sourcing systems, newsgroups, and sensor data (Zhan & Tan, 2018). Assumptions, limitations, and delimitations play a crucial role in the development of peer-reviewed academic and professional research. Here are some important guidelines for researchers to follow when conducting their studies. I came across four assumptions that align with the purpose and research question of the study, three of which are quite apparent. Predictive analytics involves the application of statistical techniques and forecast models to anticipate future insights or events based on historical and current data (Nagarajan & Babu, 2019). Six Sigma is a data-driven methodology and business management strategy that focuses on reducing variation within a process to minimize failures or defects (Trakulsunti, & Antony, 2018).