Web Analytics, Web Mining, and Social Analytics
The solution approach is a data solutions and systems software. The solutions approach from bobsguide serves multiple functions, including helping organizations to collect, analyze, and store their valuable information. The data solutions software constitutes of computer programs, staffing options, and expert courses. The solution integrates different types of analytics. One is descriptive analytics, which involves describing the existing data. Descriptive analytics uses business intelligence tools to increase the understanding of what is going on or what had happened earlier. Another analytics approach used is predictive analytics. The approach focuses on predicting possible outcomes using machines learning techniques. Prescriptive analysis was also useful in the solution system as it was used to recommend courses of action for data analysis.
Vignette shows close relationships between text mining, sentiment analysis, and web analytics. Most learners find the three relatively interesting and easy to understand, unlike data mining. This is because it is easy to relate to their applications. For instance, the significance of sentiment analysis is significant through its contribution in social sites like Twitter and Facebook. The opening of vignette, on the other hand, incorporated text analytics with other related artificial intelligence technologies. Sentiment analysis is used answer questions by assessing opinions using various automated tools (Puschmann & Powell, 2018). Sentiment analysis shares multiple characteristics and techniques with text mining; however, the former deals with only two classifications while the latter categorizes text using conceptual taxonomies of texts (Kobayashi, Moi, & Berkers, 2018). Web analytics, on the other hand, refers to the collection, reporting, and analysis of data in websites. Web analytics weighs between different aspects of data to give specific outcomes that is used to improve user experience. For instance, web analytics can be used to determine the success or failure of organizational goals, thus helping in creating effective strategies based on the outcomes. Web analytics, sentiment analysis, and text mining depend on data.
References
Kobayashi, B.V., Moi, T.S., & Berkers, A.H. (2018). Text mining in organizational research.
SAGE Journals, 21(3).
Puschmann, C. & Powell, A. (2018). Turning words into consumer preferences: How sentiment
analysis is framed in research and the news media. SAGE Journals.
https://doi.org/10.1177/2056305118797724