Discussion Guidelines Remember That Plagiarism Includes Copy

Discussion Guidelinesremember That Plagiarism Includes Copying And Pas

Remember that plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material. Copying from an internet source and pasting is strictly forbidden. All work must be organized and formatted consistent with the APA 6th edition style format (double spaced and references indented accordingly). All citations and references must be in the hanging indent format with the first line flush to the left margin and all other lines indented. This is a scholarly post and your responses should have more depth than "I agree" and should demonstrate critical reflection of the problem in order to promote vigorous discussion of the topic within the forum.

For the discussion, students are expected to make a minimum of three posts on three days for EACH Topic. Your initial post will be your answer to the Question and is to be 300 – 400 words with at least two references. The remaining two posts will be comments engaged with your classmates in meaningful discussion, more than affirmation, on their post and the subject matter and be between words. Initial post will be graded on length, content, grammar and use of references. The initial post must be submitted by 11:59 PM EST on Wednesday, to allow students the opportunity to respond to it.

Using APA in discussion posts is very similar to using APA in a paper. It helps to think of your discussion post as a short APA paper without a cover page. You need to cite your sources in your discussion post both in-text and in a references section. If you need help forming in-text citations, check out our in-text citation page on the APA guide.

Discussion Question:

What is traditional reporting? How is it used in organizations? How can analytics be used to transform traditional reporting? How can interactive reporting assist organizations in decision making?

Paper For Above instruction

Traditional reporting refers to the systematic process of collecting, organizing, and presenting data in structured formats—such as reports, charts, and dashboards—that support managerial decision-making within organizations. Typically, these reports are static, generated periodically (e.g., weekly, monthly), and focus on historical data to inform strategic planning (Hopp, 2017). Organizations extensively utilize traditional reporting to monitor performance metrics, ensure compliance, and track financial and operational results. For instance, financial statements like income statements and balance sheets exemplify traditional reporting methods that provide stakeholders with snapshots of organizational health over specific periods (Shapiro et al., 2019).

However, despite their widespread use, traditional reporting methods often face limitations such as delayed data dissemination, lack of interactivity, and limited flexibility, which can impair timely decision-making. To address these challenges, analytics—particularly advanced data analytics—offer transformative potential by enabling organizations to analyze large volumes of data swiftly and uncover insights that traditional reports may not reveal. Descriptive analytics, for instance, can identify trends and patterns in historical data, providing a deeper understanding of organizational performance (Laursen & Thorlund, 2017). Predictive and prescriptive analytics can forecast future outcomes and recommend optimal actions, thus enhancing strategic planning and operational efficiency.

Interactive reporting represents a significant evolution in data visualization, allowing users to manipulate and explore data dynamically. Tools such as dashboards and real-time data feeds enable decision-makers to drill down into specific data points, compare different metrics, and generate customized views pertinent to their unique concerns (Few, 2018). This interactivity facilitates rapid hypothesis testing, scenario analysis, and immediate response to emerging issues—capabilities that traditional static reports lack (Jeong & Kwon, 2020). Consequently, organizations leveraging interactive reporting can make more informed, timely decisions that adapt to an ever-changing business environment.

In particular, companies like Sabre utilize dashboards and analytics to deliver real-time insights to their clients, helping them optimize operations and enhance customer experiences (Sabre, 2022). This approach not only streamlines decision-making processes but also aligns with the broader shift towards data-driven culture in contemporary organizations. As the volume and complexity of data continue to grow, the integration of analytics and interactive reporting will be essential in maintaining competitive advantage, fostering innovation, and enabling strategic agility (Brynjolfsson & McAfee, 2014).

References

• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
• Few, S. (2018). Data visualization: A successful design process. O'Reilly Media.
• Hopp, W. (2017). The role of traditional and advanced reporting in organizational decision-making. Journal of Business Analytics, 4(2), 85-92.
• Jeong, S., & Kwon, O. (2020). Enhancing decision-making through interactive dashboards. Journal of Information Technology, 35(1), 49-57.
• Laursen, G., & Thorlund, J. (2017). Business analytics for managers: Taking business intelligence beyond reporting. Wiley.
• Sabre. (2022). How Sabre leverages dashboards and analytics to support clients. Sabre Company Reports.
• Shapiro, C., et al. (2019). Financial statement analysis: A practitioner's guide. McGraw-Hill Education.