IBM RPA- automating EDA.

IBM RPA has been of utmost help in automation tasks in the organization I work for; being the data analyst for the team, I have personally used it for automating the exploratory data analysis on weekly updated data. Using the IBM RPA tool helped me to automate the process of running the Jupyter notebook commands and fetching the resultant file with the overview of the cleaned and updated data. RPA helped us to reduce time on repetitive tasks, which otherwise would be consuming almost 3-4 hours every week. I would recommend it to the smaller teams, so the data analyst or scientist within the team could utilize their time for better or less repetitive tasks.

Our team has used the integration to collect the data from the users and add it to the database systems; this has been helpful in generating leads with the help of collected data. However, the integration has been on the existing systems, and while there has been no functionality issue observed as such, the integration went smoothly when it was initially done, and the entire process of combined data collection and using the same for analysis was automated through RPA, which did indeed save a lot of time for us.

As a result of RPA automation, we as a team have been able to save about 20 hours a week, which includes my data preparation automation, saving up to 5 hours, along with data collection process, saving us about 8 hours approzimately, and then other smaller tasks, of reporting and analysis which in total could be estimated to be about 20 hours.