Data Mining is an incredible tool that can be used by businesses to turn large amounts of data into actionable information. Through different data mining techniques, data miners put a structure that enables companies to make better decisions every time.
Through the years, many data mining tools have come and gone. With many companies adapting to the data-driven world, there has been a steady rise of tools built to help them. While some need a subscription or a one-time payment, there are still some available tools that are free online.
In fact, among free alternatives to data mining tools, they have unique offerings that also include data warehouses and knowledge discovery mechanisms. So if you’re looking for free alternatives to expensive mining plans, here are few to consider:
Developed by the University of Waikato, this machine learning software is best for data analysis and predictive modeling. From data mining to regression, it works best when data is clean and readily available. Through various visualization tools, it can also be helpful with machine learning.
R is a commonly used data mining tool by academic researches, engineers, and industrial companies. It is an interactive platform that can perform intricate statistical calculations despite being very user-friendly. It’s known to have great visualization tools and is very comprehensive.
An easy to use data mining tool, Qlik allows users to analyze data from multiple sources all at once. With its unique drag-and-drop features, it can easily visualize data and make instant changes. Data security is a highlight feature of this tool. Qlik has sharing options that can let users access reports easily.
Using JAVA, this tool creates insightful predictive analysis and flow-based programming. It’s often used for training and business applications because it doesn’t require extensive coding experience to use.
A component-based machine learning software, Orange works with both scripts and ETL workflows. It has an exhaustive list of algorithms and various widgets that can use do data analysis and visualization. While reporting can be limited, it is one of the most simple tools to operate using Python.
Best used by organizations that have most of their data already migrated to the cloud, TeraData has a range of data mining optimizing tools for every stage of the business. Supported by SQL, TeraData lets users distribute data without too much intervention.
Through the years, data mining has evolved. In fact, it will continuously grow and improve in the years to come. It will only get more granular, efficient, and effective with its analysis. To get ahead of the curve, one must be able to select the best tool and customize it to your company’s particular needs.
With the right tools, data miners can help businesses make better decisions in every aspect of the business. From lessening costs, improving products to increasing profit, there is a room of data science to make the kind of changes that will help companies flourish.