This signifies firms can utilize the tool to mine and

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such as analysis of associations, data pre-processing, data classification, as well as visualization of data. This signifies firms can utilize the tool to mine and visualize important aspects and information from data as part of data mining and analytics while also being a tool which is highlighted as being reasonably easy to utilize. As a data mining tool, Weka Data Mining possesses numerous benefits as well as potential drawbacks. It is highlighting as possessing the benefits of being a tool which is easy to utilize, is open source, and possesses tools with multiple utilizations (Predictive Analytics Today, 2018). Weka Data Mining also possesses benefits including ease of data manipulation, differing manners for user interaction, as well as being a tool specifically oriented to data mining needs (Chauhan & Gautam, 2015). As a data mining tool, it also possesses other benefits as well. Relative to data mining tasks, it may support numerous machine learning algorithms and holds the benefit of being able to conduct numerous data mining oriented tasks including the visualization of data, classification of data, as well as data pre-processing among other tasks (Chauhan & Gautam, 2015). Thus, is apparent that Weka Data Mining as a data mining tool holds numerous benefits for data mining and business analytics purposes. However, there are highlighted to be drawbacks of this tool as well. It is detailed that this tool is not capable of multi-relational data (Predictive Analytics Today, 2018). For Weka Data Mining, it has also been highlighted that aspects such as data visualization are more limited, and for large datasets data may be handled more roughly. This tool may also have drawbacks in that it may have lesser performance and more limited memory, and may not be as effective relative to interfacing with other software (Chauhan & Gautam, 2015). Weka Data Mining thus presents a data mining tool with diverse abilities and numerous benefits, though possessing potential drawbacks as well. A further open source data mining tool which may be analyzed may be highlighted as Alteryx. Alteryx Analytics is highlighted as one of the top data mining software tools, existing as open source through its Alteryx Project Edition (Predictive Analytics Today, 2018). As a data mining tool, Alteryx permits the
ability of data preparation, blending, and analysis through a repeatable workflow that significantly reduces the time needed to conduct analysis of data. Alteryx permits connectivity to and cleansing of data from diverse sources and permits analytics to be conducted on the same user interface (Predictive Analytics Today, 2018). It is also highlighted that this data tool may be utilized for spatial, statistical, and predictive analysis needs. This data mining tool can be used to support data mining and analysis techniques used in business in various manners as well. It permits combination of data from many sources for data mining purposes, and enables a variety of analytics related insights to be achieved relative to business with analytics that can better forecasting, permit improved understanding of target

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