The Capstone project is dedicated to the analysis of UiPath, an international company that develops software for robotic process automation (RPA), and is aimed at analyzing how UiPath could improve the installation plan of its products. RPA technology grants businesses an opportunity to save costs, boost productivity and resilience, maximize profit, and even increase employees satisfaction with their job (UiPath, n.d.). Nonetheless, the implementation of the necessary technical and operating requirements is a hindrance to the installation of this technology. More precisely, as it has been outlined in the preceding essay, the technical staff of a company should consider multiple questions, including the protection of infrastructure assets, the architecture of the target environment, characteristics of the application access, to name but a few. Therefore, these factors prevent RPA technology from unleashing its full potential and being implemented in more companies. For this reason, the project focuses on how to improve the installation and implementation plan for RPA.
To accurately assess the problem, several sorts of data is needed. First of all, the author should access detailed sales reports because they would help to detect the primary purchasers of UiPaths RPA technologies and estimate the demand for RPA technologies. Information on sales could be derived from the annual reports that are commonly published on official websites. The main reason why this data is needed for the current Capstone project is that it enables the author to trace sales dynamics. The recent report published on June 8 informs that the losses of UiPath increased from $ 52,178 in 2020 to $ 238,276 in 2021 (UiPath, 2021). The author suggests that the development of an improved plan for the implementation of RPA technologies will help reduce financial losses.
Secondly, the present Capstone project requires the analysis of general statistics of the RPA. More precisely, the author needs to know in which industries the demand for such technologies is the highest one. This information could be retrieved from such business data platforms as Statista and such consulting firms as Deloitte. This type of data is needed for the previously identified problem because it shows the current trends in the RPA market. Besides, it makes the author to think of the reasons why in some industries RPA technologies are more demanded than in others and how this situation could be fixed.
Even though the current study is based on quantitative research methods, the author supposes that it will be helpful to include qualitative methods as well. Since the project targets the issue of complexity of RPAs implementation plans, it is rational to discuss this topic with staff members. Therefore, the author suggests conducting semi-structured interviews with the managerial personnel of UiPath to know whether they agree that the implementation plan is too complex. Besides, it seems reasonable to conduct focus groups or interviews with employees responsible for control over the RPA technologies in UiPaths client companies because it is a way to retrieve insights on what and how could be improved.
Finally, an outlined problem of the Capstone project on the weak sides of RPA technology provided by UiPath could be solved through the comparative analysis of implementation plans and characteristics of technologies produced by UiPaths competitors. This information could be found on official websites of such companies as Kofax Robotic Process Automation, Newgen RPA, and Pega Customer Engagement, to name but a few.
References
UiPath (2021). Form 8-K Uipath, Inc. Current report, items 2.02 and 9.01. Web.
UiPath (n.d.). What is robotic process automation? Web.