Today’s savvy companies know that process optimization means maximizing profit by using existing human and capital assets. Optimization is achieved by improving yields, quality, and throughput while minimizing capital expenses.

Oftentimes, companies spend a lot of time and money collecting data, but they don’t make full use of the data collected. With a data mining tool, valuable information can be extracted from large databases saving time and improving processes.

Top 10 Data Mining Tools To Supercharge Your Data

1.RapidMiner Studio

This is a visual design environment that can help you quickly develop a predictive analytic workflow. RapidMiner Studio comes with a library loaded with machine learning algorithms, model evaluation tools, data preparation and exploration functions.

Data analysts can use the existing R and python code to add new functionalities via a marketplace which has many pre-built extensions that will help your data mining processes to be more effective.

RapidMiner use cases:

  • Machine learning
  • Text mining
  • Data mining
  • Predictive analysis
  • Business analysis

2.Knime Analytics Platform

Knime is a reporting and integration platform that combines various components for use in data mining and machine learning. It works by using a data pipeline concept that has a graphical interface that allows the use of nodes for data processing. Very few open source solutions have a wide range of features like Knime.

It comes as a suite of software applications that include collaborative extensions like Knime Server Lite, Knime TeamSpace, Knime Server and Knime WebPortal.

With this data mining tool, you’ll get access to more than 1000 data analytic routines either through R and Weka or natively.

Knime use cases:

  • Image processing
  • Text analytics
  • Social media analysis
  • Network analysis
  • Data mining

3.Dataiku DSS

This is a collaborative data mining platform that gives teams the ability to explore, build, prototype and deliver data solutions more effectively. Dataiku DSS offers an interactive visual interface which uses point, click and build languages like SOL for a visual workflow.

It allows data scientists to leverage ML libraries like H20, MLib, R, and more If you need the ability to work in a customizable interface that allows you to automate your workflow, Dataiku DSS maybe the answer.

Dataiku DSS use cases:

  • Machine learning
  • Data mining
  • Data wrangling
  • Data visualization
  • Workflow deployment

4.SAS Enterprise Miner

If you want accurate and predictive data models, than SAS enterprise is the solution. It can help you work with large volumes of data from different sources in your organization. As you already know SAS is a leading business analytics solution that delivers top-notch business intelligence that drives decision making.

This data mining software is another innovative solution from SAS that can help you improve performance, deliver value and business decisions making more informed.

SAS use cases:

  • Create predictive models
  • Minimise risk
  • Reduce asset downtime
  • Detect fraud
  • Reduce customer attrition

5.Neural Designer

Neural Designer is a desktop software used for data mining. It uses neural networks which are mathematical models of the brain’s functioning. The software is inspired by the central nervous system and its main focus is machine learning as well as pattern recognition.

Neural Designer use cases:

  • Machine learning
  • Pattern recognition
  • Discovering complex relationships
  • Predicting trends
  • Improve work quadrants

6.IBM SPSS Modeler

Developed by IBM, this data mining software offers predictive intelligence in resolving most business problems. It provides a range of advanced analytics like social network analysis, text analysis, entity analytics and so on.

No matter where the data is stored- whether in a database or warehouse or even as a flat file – IBM SPSS can be used to mine the data Sometimes data can be in an unstructured form, but with the SPSS, you can efficiently mine the data

IBM SPSS Modeler use cases:

  • Data preparation
  • Automated modeling
  • Geospatial analysis
  • Predictive intelligence
  • Advanced analytics
  • Data mining

7.Oracle Data Mining(ODM)

ODM is a data mining solution from Oracle that offers many powerful features which enable businesses to discover new insights into data. It uses several algorithms for data analysis and data mining. These algorithms are part of the Oracle Relational Database Management System Enterprise Edition and make it easy to create, manipulate and deploy models in the database.

These models created can be inserted into the Oracle database kernel and are stored as database objects. You can also create a graphical interface for business analytics.

Oracle Data Mining use cases:

  • Predictive analysis
  • Anomaly detection
  • Data extraction
  • Data analytics
  • Data modeling

8.Angoss Predictive Analytics 

Angoss is another global leader in delivering data analytics solutions to businesses. This software can help
you mine data so that your business will be more efficient in decision making, risk management, and sales.

The software comes in a suit of 3 including KnowledgeSTUDIO, KnowledgeREADER, and KnowledgeSeeker. There’s also a fully hosted KnowledgeCLOUD solution which provides business analytics for businesses that want it in-house.

Angoss Predictive Analytics use cases:

  • Predictive analytics
  • Marketing analytics
  • Big data analytics
  • Model analyzer
  • Data preparation and profiling
  • Model deployment


This is an all-around data mining software that uses a variety of data mining methods like neural networks, multivariate modeling, classification/regression trees, clustering techniques and much more STATISTICA is a smart business tool that can transform your ability to make analytically powered decisions.

It helps organizations to become innovative and solve problems using business intelligence data gathered through different methods. STATISTICA uses many predictive techniques including optimization of models and advanced/true simulation. The software can process, read and write data from any file format.

STATISTICA use cases:

  • Data analysis
  • Data visualisation
  • Data management
  • Predictive modelling
  • Data mining

10.TIBCO Spotfire

The Spotfire data mining software is the last on this list and offers an interactive dashboard with visual elements that make decision making faster. It can create data insights on many devices and is an enterprise-class software for all types of users.

It comes with an interactive reporting interface, data discovery, and advanced analytics for data scientists and decision makers. Spotfire also offers real-time analysis and is a powerful business intelligence software for any business type.

Spotfire use cases:

  • Predictive analysis
  • Data mining
  • Data wrangling
  • Geo-analytics
  • Data discovery