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Data Mining

Top 15 Data Mining Techniques for Business Success

Nastel Technologies®
February 28, 2019
Top 15 Data Mining Techniques for Business Success

Data mining is the process of examining vast quantities of data in order to make a statistically likely prediction. Data mining could be used, for instance, to identify when high spending customers interact with your business, to determine which promotions succeed, or explore the impact of the weather on your business.

Data mining principles have been around for many years in conjunction with data warehouses, and have now taken on greater prevalence with the advent of Big Data.

Data analytics and the growth in both structured and unstructured data has also prompted data mining techniques to change, since companies are now dealing with larger data sets with more varied content. Additionally, artificial intelligence and machine learning are automating the process of data mining.

Regardless of the technique, data mining typically evolves over three steps:

  1. Exploration: First you must prepare the data, paring down what you need and don’t need, eliminating duplicates or useless data, and narrowing your data collection to just what you can use.
  2. Modeling: Build your statistical models with the goal of evaluating which will give the best and most accurate predictions. This can be time-consuming as you apply different models to the same data set over and over again (which can be processor-intensive) and then compare the results.
  3. Deployment: In this final stage you test your model, against both old data and new data, to generate predictions or estimates of the expected outcome.

This article originally appeared on Datamation.com.  To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.

 

The Nastel i2M Platform provides:

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