Week 3 Discussion: Formulating Brief
Kirk (2019) emphasizes the importance of formulating brief when visualizing data. According to the author, formulating a brief allow the technician to identify the context of the visualization project. It is important to ask vital questions when formulating the brief, identifying the best tools and approaches to executing the visualization project (Viola & Isenberg, 2017). In other words, formulating a brief is about identifying the purpose and the nature of the data necessary for the project. Also, formulating a brief is about defining the project’s environment, opportunities, and challenges critical to address. It is important to identify the need of the visualization project and align the issues within the system.
The importance of formulating the brief is that it allows the project to address the audience’s specific needs. It is important to note that visualization projects such as needs, preferences, and data needs (Kirk, 2019). Above all, it is important to identify specific needs and the right visualization tools that can allow the project to achieve the best results. On the same note, formulating a brief is ideal since it analyzes data types and breaks them down for the projects. Most significantly, formulating a brief is ideal since the architect can identify and align the project within the environment so the audience can get the gist of the presentation.
Kirk, A. (2019). Data visualization a handbook for data driven design. Los Angeles, CA Sage. ISBN 978-1473912144
Viola, I., & Isenberg, T. (2017). Pondering the concept of abstraction in (illustrative) visualization. IEEE transactions on visualization and computer graphics, 24(9), 2573-2588.
Formulating your brief is about creating a compelling visual statement to draw attention to your business strategy. That statement should be clear, unambiguous, and relevant to your customers and future customers. We need to design the document rather than the brief. A good brief should be simple, concise, and relevant, be visually appealing and clear and engaging, and highlight the business’s key feature or capability. We should also be familiar with some of the key metrics that we will need to measure a service’s performance. These metrics measure the overall number of responses that the service gets for example, from users, end-users, or administrators, the time it takes for users to interact with the service for example, how long a response takes to display, the bandwidth usage the service generates (Arbogast et al., 2020).
The formulating of your brief is about developing a vocabulary for the information, and it will present to the client. Develop the vocabulary to understand the information in a way that enables them to understand, process, and interact with the information and the presentation. Data visualization helps to express information in a way that is meaningful to the client (Li, 2020).
Formulating your brief is about understanding the data and then using the data to inform the decision-making. However, the analysis is even more critical than data, or maybe even more critical when it comes to the data. Data is more valuable than data-related content. When using this in-depth insight, we will understand the strengths and weaknesses of the data set, what needs to be done, and the scope and impact. Data is the starting point in understanding the data and its value. Data-driven ideas and processes often drive data analytics. Data-driven analytics have the advantage over the other analytics approaches, namely, a structured analysis approach, because of a data-driven approach. Analytics models are used to derive information about the entities in an analysis. These entities typically include, among others, the organization’s internal objectives, the business processes used to achieve those objectives, the assets that are being analyzed, and the processes used to achieve those objectives (Li, 2020).
Arbogast, L. W., Delaglio, F., Brinson, R. G., & Marino, J. P. (2020). Assessment of the Higher‐Order Structure of Formulated Monoclonal Antibody Therapeutics by 2D Methyl Correlated NMR and Principal Component Analysis. Current protocols in protein science, 100(1), e105.
Li, Q. (2020). Overview of data visualization. In Embodying Data (pp. 17-47). Springer, Singapore.