In today’s world, data is the cornerstone of smart decisions and companies need to use appropriate data mining tools to immediately get insights from their data. Data mining has become an integral part of analytics as it helps businesses for predictive modeling and maximize on the analytics programs. Businesses can use analytics models that are provided by data mining tools to get insights from large volumes of customer data and predict the behaviors of customers. Also, companies can use data mining tools and their analytics know-how to solve complex problems, price products and services more effectively, discover competitive strategies, predict performance, develop intervention strategies, identify market risk, predict potential problems, create more targeted marketing campaigns and improve customer relationships.
Data mining softwares are the software that allows you to extract usable data from a huge raw data to find patterns, anomalies and correlations. It’s results help companies to predict the result. Some key techniques like statistical analysis, algorithms, machine learning, database statistics and artificial intelligence are used by data mining software. Simply, data mining applications helps you get insights from huge volumes of data and transform it to actionable insights.
Sisense is one of the best data mining software which provides specific features to divide into massive datasets and discover crucial insights like customer’s shopping habits, search rankings and also other business analytics. It offers a compelling dashboard that makes it easy to explore and visualize large amounts of unprocessed data. Also it can be the best choice for beginners.
Features-
Statistical Analysis System (SAS) is a product of SAS Institute developed for analytics & data management. It can mine data, modify it and manage data from different sources and do statistical analysis. For non-technical users, it provides a graphical UI.
It is a free to use Data mining tool used for machine learning, model deployment and data preparation also. It’s wide range of products can be used to build new data mining processes and predictive setup analysis. Rapid miner is developed on the top of Java programming language and does precisely data mining.
It is a complete environment for statistical analysis of data and graphics. R is a highly flexible data mining platform which offers powerful analytical techniques like statistical tests, modeling, time series analysis, classification, clustering etc. It will be the best choice for those who have superior programming skills.
It is developed by Apache Foundation which serves the main purpose of creating machine learning algorithms. Mainly it focuses on collaborative filtering, data clustering and classification. Apache Mahout is written in JAVA and also includes JAVA libraries for mathematical operations like linear algebra and statistics. It is continuously growing because the algorithms implemented inside Apache Mahout are also growing. Many experts use apache mahout for real-time data mining including AOL, Apache, Drupal and Twitter.
Rattle is a GUI based data mining tool which uses R stats programming language. Though it has an extensive and well-developed UI, it has an inbuilt log code tab which generates duplicate code for any activity occurring at GUI. Data sets that are generated by Rattle can be viewed and edited also. Rattle allows users to import datasets from either CSV or via ODBC and explore them for modeling their data mining solutions.
KNIME is the best integration platform for data analytics and reporting. It works on the concept of modular data pipeline. It constitutes different machine learning and data mining components embedded together. Generally ,it is used for pharmaceutical research. Also it performs great for customer data analysis, financial data analysis, and business intelligence. KNIME offers some great features like scaling efficiency and quick deployment. It makes use of nodes to pre-process the data for analytics and visualization.
It is a perfect software data mining and machine learning. It is written in the Python computing language. As this software is component based software, it’s components are called ‘widgets’. It ranges from data visualization & pre-processing to an evaluation of algorithms and predictive modeling. Orange offers various functionalities like data reading, training predictors and comparing learning algorithms, visualizing data elements etc. Also it is attractive and interesting to operate.
Generally it is called Teradata database. This is an enterprise data warehouse which contains data management tools with data mining software. It can also be used for business analytics. Teradata is used to get insights of company data like sales, product placement, customer preferences and so on. It works on the “share nothing” architecture because it has its server nodes that have their own memory and processing ability.
It is a management intelligence toolkit having combined features of business intelligence and corporate performance management. Mainly it is designed to deliver business analytics and business intelligence in a single package.
Features:
It allows you to make informed decisions with data scientist and market decisions in mind. Also you can effectively collaborate with your team and find solutions faster with the help of Civis.