Self Reflection Watson Analytics

Question: Discuss about the Self Reflection for Watson Analytics. Answer: Introduction: In this particular assignment, I have undertaken the task in evaluating a huge volume of data using analytics tool. For the accurate evaluation of the data, I have selected IBM's Watson Analytics tool for the evaluation of the data. The initial significant task was to determining and selecting the raw data set the can be used for analysis. I have looked into the various data sources provided in the requirements. With detailed study and understanding of the needs and requirements of the analysis, I have selected a raw data set to form the UNdata. For this present evaluation, I have selected the raw data set from the "Environment Statistics Database" about the precipitation information. The raw dataset that I have downloaded contained various information and record about the precipitation. Before analyzing the dataset in Watson analytics, I have edited and screen the data while eliminating the errors and vague data present in the dataset. I have rejected the data with unrealistic value like -9999.9 or any repeated pattern followed in the record. In addition to that, I have also rejected the data with very large or negative value in precipitation record. Moreover, I have deleted the record with null values present in them and the column name with footnote representation. The data screening and data editing have provided me with the reliability and validity of the data after analysis. While conducting the data analysis part, the vital problem I have faced, understanding the working of the Watson Analytics Solution. I have collected information relevant to the Watson Analytics for understanding the usability of the analytics software. I have taken information from various open sources like journals and official documents available on IBM's website. In addition to that, I have communicated with my team members for understanding the working of the analytics tool. After I have to gather ample information about how Watson Analytics, works, I have proceeded my work for analysis of the raw data collected from the world's precipitation record. Moreover, I have utilized the Watson Analytics tool for calculation and evaluation of the precipitation all over the globe for a time period of 1953 to 1991. I have uploaded the raw data to the Watson Analytics tools for evaluating the relationship between the different rainfalls in a particular area with the selected period of time. In addition to that, I have evaluated the precipitation pattern in a particular place in the world. The application of the Watson Analytics tool is user-friendly and allowed in developing the visualization and statistical representation of the data inputted in the application. I have selected the data uploaded in the application and created the discovery set for the analysis of the precipitation calculation. In the next step, I have created the dashboard present in the application. After creating the dashboard, the application showed various options for the creation of the visualization of the analyzed dataset of the precipitation. I have created the geospatial globalization representation of the analyzed data that has provided me with the annual precipitation by territory or country in the provided database. The statistical representation of the data have made the analyzing and evaluation of the global precipitation calculation easier. Moreover, the predictive model obtained from the Watson Analysis provided the accuracy of the precipitation model overall rate throughout the globe. After the application of the analytics tool, I have evaluated and examined the data. Furthermore, I have prepared the report of data analysis required for this assignment. The applications of the Watson Analytics application have allowed me in the easy and prominent analysis of a huge set of data containing 16246 records. The Watson Analytics tool has reduced the complexity, and manual effort requires for analyzing the huge set of data. I have identified the drivers and determined the influences in the developed prediction model of the precipitation records. In addition to that, the visualization report ad dashboard that I have generated using the Watson Analytics allowed me assembling the data and provides the user to easily understand the problem and solution. With the application of the Watson Analytics, I have provided the various predictive precipitations all over the globe. The simple analysis of the Watson assisted in refining the analysis of the data. Furthermore, I have created the complete documentation and developed the result of the analysis process. The results created in the Watson Analytics tool have allowed me in delivering the accurate result to the data set used for this particular solution. Moreover, my experience in working with the Watson Analytics Tool has provided me with the vision of using data analytics in business and practical application.