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Question One In this discussion, consider how research questions differ from one another. How do you know when to use bottom-up versus top-down modeling to answer a research question? As you learn about these two different models, does it impact your own research question? Why or why not?

Two common approaches are used when modeling the research questions, namely, the bottom-up modeling and the top-down modeling. The top-down modeling approach goes from the general to specific question. This strategy is best suitable for research questions that test the participant’s understanding before dwelling on the details (Itti & Borji, 2014). This approach is also used for sensitive research that involves individual perception and connection to the topic, such as personal experience with a certain treatment intervention, among other sensitive topics. Therefore, starting with a general question will help the researcher gauge the awareness, level of confidence, and accuracy of the answers provided to the general question before answering the specific questions.

The bottom-up approach is designed, so the researcher starts by asking the specific questions as they move to the general questions (Itti & Borji, 2014). This approach is best suited to a researcher who identifies and resolves the smallest problems and then integrates them to solve a bigger problem. Since the researcher starts with a specific question and moves to the general questions, this approach is best suited to use the details known to the responder to address the bigger question. These two approaches will impact the research questions since I will have to structure the questionnaire starting with the general question and moving to specific ones in the top-down approach. I will design the questionnaire in the bottom-up approach, starting with the more specific questions and then moving to general questions.

Question Two Identify an organization that has undertaken an initiative to attain a higher maturity state around enterprise data management. Read Toyota’s Business Intelligence: Oh! What a Feeling.

The initial maturity level based on the data management shows that Toyota Motor’s sales in the U.S were staggering low. The company was struggling since it used a backward IT infrastructure. The efficiency of this model data was inefficient, and technology innovation in use was in flush, also known as directionless data (CIO Insight, 2021). The initiative brought about a significant benefit to the company since generating sales and market data at a higher rate enhanced the company to use this information strategically (CIO Insight, 2021). It helped internal departments to share information.

The company has attained impressive improvements. Toyota American has managed to increase the volume of cars it can handle by 40 percent in the last eight years, and it has also increased the headcount by 3% (CIO Insight, 2021). The module discussed in this course was focused on realizing organization maturity includes; change management. Toyota hired Barbra Cooper as the CIO who brought about change in management. Secondly, the use of business innovation to leverage IT and inter-department communication. Finally, the use of information technology to leverage data through information strategic decision making.