According to TED managers, the presented data has been analyzed, and constructive information has been extracted from the analysis to inform better decision-making. From the provided data, it is clear that the Statistics has been pulled from a data warehouse, which comprises a storehouse where historical data is stored with analytical intentions for the purpose of decision-making (Almeida, 2017). A warehouse stores data that is integrated from primary informational collecting systems. In a statistics mine, raw information is categorized by using both a primary and secondary key in that the respective statistics can be located by fields and records. For this reason, this paper will address the examination of Excel-based analysis.
Prescriptive Analysis for Lesson One
Based on TED managers’ desire to be enlightened on the length of time a video takes before being posted online, the statistics provided a master data that involved various records. For this reason, prescriptive analytics was the core analytical technique to be used in availing information from historical indicators. Prescriptive technology is a methodology employed by businesses, via analyzing a collection of measurements, to address issues affecting the business based on several reasons (Rainer & Prince, 2019). It is, therefore, essential in data management and knowledge management. According to knowledge management systems, the technique is adapted to provide solutions that prevent a business from addressing operational, tactical, and even strategic objectives (Rainer & Prince, 2019).
Therefore, through the provision of the average number of days, maximum and minimum number of days provided, the clarity concerning possible reasons for the delay of posting videos online after production can be addressed. This might be due to a lack of enough staffing and manual tools of labor.
Descriptive Analysis for Lesson Two
Moreover, their second request concerning their desire to be informed on whether views and comments were considered on short or long videos based on time illustrated the aspect of descriptive analytics. Rainer and Prince (2019) argue that descriptive analytics is a method in most business ventures to define possible concealed trends based on historical data provision. From the historical data provided by TED managers, the comparative analysis seeks to address whether shorter or extensive video uploads are considered through the number of viewers and the statistics of comments. Based on the comparison analysis, it was clear that the historical data provided informed that longer videos have more comments and views than the shorter ones. Thus, TED managers should consider producing lengthy videos as appendices 2A, and 2B approves that lengthy videos have more view and comments, respectively.
Predictive Analysis for Lesson Three
Finally, predictive analysis is also featured in the historical statistics provided by TED managers in their quest to use the number of views and comments to inform their most insightful years. Business managers use the predictive-analytical technique to make future decisions concerning business activity patterns from past events (Rainer & Prince, 2019). The method uses historical records to determine future business events and decisions based on past trends concerning external business environments. In this view, TED business managers should review their performance between the years 2006 to 2010 consecutively, for strategic decisions as these years have greater views and comments.
The presented historical data comprises fields, records, and files that are mostly in figures, as shown in the appendices below. Based on this reason, the statistics could be addressed by applying tools such as graphs, pie charts, and, most possibly, figurative communication (Almeida, 2017). The application of graphs and pie charts is more applicable when figures and numbers form the data. These mechanisms present a better visual to any manager in the event of immediate decision-making. It is arguably the best format to be applied in numerical-based data by Rainer and Prince (2019). The argument is that, based on knowledge management systems, decision-making in enterprise ventures should be quick, precise, and objective. It can only happen once numerical established historical data is expressed in easily interpretive means that adapt the use of tools such as harts and graphical expressions.
Finally, through the application of data mining techniques under the directives of machine learning technology, the descriptive, predictive, and prescriptive information could have been effectively presented. The technologies mentioned above reduce human error (Rainer & Prince, 2019). The expertise uses analytical data means to eliminate potential mortal inaccuracy. Generally, through this assignment, the three analytical procedures have been available as the techniques that evaluate data. Similarly, historical data is always integrated and stored in a warehouse for future retrieval and analytical interests. Generally, through these techniques, TED online-based casts have been analyzed.
In general, new speaker’s presentations should follow the general standards and be concise, logical, and audience-oriented. For the first 5-10 minutes, speakers are recommended to introduce themselves, thank viewers for their attention, and introduce the topic of their presentation. Subsequently, managers may advice new speakers to emphasize the significance of the topic and describe underlying issue within the next range of 11-15 minutes. For subsequent several minutes, the method and algorithm of research may be presented in order to show how the described problem may be addressed and reduced. Finally, for several last minutes, speakers may present the results of the research and its practical application for subsequent studies.
References
Almeida, F. L. (2017). Benefits, challenges, and tools of big data management. Journal of Systems Integration, 8(4), 12-20. Web.
Rainer, K. & Prince, B. (2019). Introduction to information systems (8th ed). Wiley Global Education.