Report Response

Report Response

The report dubbed 2020 Year Review –Estee Launder Companies uses data to develop visuals that help the reader get a clear picture of where the company is coming from 2015 to 2020. Thus, the company using data has developed the bar and line graphs that highlight the company’s performance highlight (Beattie, McInnes, & Fearnley, 2004). For instance, there is a graph that gives company’s sales performance per region and company’s performance by-products within the five years. More so, there is a line graph that is showing diluted earnings per share after adjustment for various deductions. The company’s use of different contexts in the visuals makes the reader access easily the information of interest to them. For example, for an investor, the earning per share chart will prove vital while for a person seeking partnership deal as distributor sales per product as well as per region visual will prove vital.

The use of visuals appeals to varied readers. For example, the company’s report starts with giving the impression of the success and challenges of their operational environment. Further, it gives the message of the key leaders in the industry as it goes to give accounts of the role of customer satisfaction, adoption of technology, and innovation in product and service delivery. This makes the reader understand the process involved in delivering quality services. Integration of charts addresses the concern of marketers, investors, and financial analysts (Beattie, McInnes, & Fearnley, 2004). The report meets the objective of all stakeholders since it furnishes varied readers with the information they need by giving them a tab to click to access more information. Moreover, the visual such as products images makes the reader get to know the company’s products with ease. The charts are also backed with some footnotes to give more hints.


Beattie, V., McInnes, B., & Fearnley, S. (2004, September). A methodology for analyzing and evaluating narratives in annual reports: a comprehensive descriptive profile and metrics for disclosure quality attributes. In Accounting Forum (Vol. 28, No. 3, pp. 205-236). No longer published by Elsevier.

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