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Top Data Mining Companies

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60 companies for Data Mining

Go Direct Solutions's Logo

Go Direct Solutions

Mississauga, Canada

A

51-100 Employees

2015

Key takeaway

The company offers Data Mining Services that provide essential information for informed business decisions. Their focus on integrated technology enhances operational efficiency and helps drive customer engagement and loyalty.

Reference

Product

Data Mining Services - Go Direct

Starter Consulting's Logo

Starter Consulting

Bologna, Italy

B

11-50 Employees

2011

Key takeaway

Matteo Boemi, a senior professional at Starter Consulting, has expertise in data mining, market analysis, and business intelligence. This highlights the company's strong focus on data mining as a key area of their services.

Reference

Product

Data Mining – Starter Consulting

Lipperhey's Logo

Lipperhey

Amsterdam, Netherlands

A

1-10 Employees

2009

Key takeaway

Dataprovider.com specializes in transforming the internet into a structured database, providing actionable insights and unique data intelligence. Their platform enables users to access and utilize web data effectively, making it particularly relevant for data mining purposes.

Reference

Product

Technology Recipes | Dataprovider.com

At Dataprovider.com we transform the internet into a structured database of web data. Use our software to gain unique insights into companies.

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DATANOMIQ's Logo

DATANOMIQ

Berlin, Germany

A

1-10 Employees

2015

Key takeaway

The company emphasizes its comprehensive understanding and offering of Data Analytics, highlighting its expertise in Data Mining through its service, DATANOMIQ.

Reference

Service

Data Mining - DATANOMIQ

Data Mining by DATANOMIQ -

Cloud Nine Media's Logo

Cloud Nine Media

San Francisco, United States

B

251-500 Employees

2010

Key takeaway

CloudNine specializes in eDiscovery automation software that simplifies the data discovery process for legal and business professionals, making it highly relevant to data mining. Their tools, such as Data Wrangler™ Explore™, enable users to gain insights and intelligence from electronic data efficiently.

Reference

Product

Data Mining - CloudNine

DeepMiner's Logo

DeepMiner

Aberdeen City, United Kingdom

A

1-10 Employees

2017

Key takeaway

DeepMiner's technology enhances data mining by revealing relationships and insights across multiple datasets, effectively addressing data inefficiencies and silos. By analyzing data holistically, DeepMiner helps organizations identify valuable patterns that inform better decision-making and strategic initiatives.

Reference

Core business

DeepMiner

Data Wealth's Logo

Data Wealth

Lund, Sweden

A

1-10 Employees

2019

Key takeaway

The company emphasizes its expertise in data collection from reliable sources and the application of advanced methods like Machine Learning and AI to transform this data into valuable insights, which is highly relevant to data mining.

Reference

Core business

Data Wealth - Machine Learning Consulting

DataMine Lab's Logo

DataMine Lab

London, United Kingdom

A

1-10 Employees

2008

Key takeaway

DataMine Lab is dedicated to extracting value from data, offering big data analytics software consulting that helps clients leverage their raw data effectively. With extensive experience in data mining and business intelligence, the company provides tailored solutions to enhance data-driven decision-making.

Reference

Core business

DataMine Lab | data is the answer

MDO Data Online Inc.'s Logo

MDO Data Online Inc.

Surrey, Canada

A

1-10 Employees

2016

Key takeaway

MDO offers extensive mining intelligence, providing comprehensive data on operating mines and projects at various stages, which is crucial for informed decision-making in the mining sector. Their global coverage ensures access to real-time information, supporting strategic business advancement.

Reference

Core business

Mining Intelligence and News

Tiny and Judy Consulting Ltd's Logo

Tiny and Judy Consulting Ltd

London, United Kingdom

A

1-10 Employees

2012

Key takeaway

The company emphasizes the importance of data mining and management as a crucial factor for growth in today's business landscape. They provide innovative solutions and best practice guidance to help clients maximize their return on investment, particularly in utilizing data effectively.

Reference

Service

Data Mining - Your Business Strategy & IT Experts


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Things to know about Data Mining

What is Data Mining?

Data mining refers to the process of discovering patterns and extracting valuable information from large sets of data. This technique utilizes various methods from statistics, machine learning, and database systems to analyze and interpret complex data structures. By identifying trends, correlations, and anomalies, data mining helps organizations make informed decisions and predictions across various fields, including finance, marketing, and healthcare. The applications of data mining are vast, enabling businesses to enhance customer relationships, improve operational efficiency, and gain competitive advantages through data-driven insights. Through the use of sophisticated algorithms, practitioners can uncover hidden relationships within the data, leading to actionable intelligence that drives strategic initiatives.


How does Data Mining work?

Data mining utilizes advanced algorithms and statistical techniques to analyze large sets of data, uncovering hidden patterns and insights. The process begins with data collection from various sources, which is then cleaned and preprocessed to ensure quality. Once the data is prepared, it is subjected to various methods such as clustering, classification, and regression analysis. These techniques help in identifying relationships and trends within the data. The findings can then be leveraged to inform decision-making, improve services, and predict future outcomes, making data mining a valuable tool across multiple industries.


What are the benefits of Data Mining?

1. Enhanced Decision-Making
Data mining allows organizations to analyze large sets of data to uncover patterns and trends. This information can lead to informed decision-making, improving strategies and outcomes in various sectors such as marketing, finance, and healthcare.

2. Improved Customer Insights
By leveraging data mining techniques, businesses gain a deeper understanding of customer behavior and preferences. This insight helps in personalizing marketing efforts and enhancing customer satisfaction, ultimately driving sales growth.

3. Fraud Detection
Data mining plays a crucial role in identifying unusual patterns that may indicate fraudulent activity. Financial institutions often utilize these techniques to monitor transactions in real-time, allowing for quicker responses and risk management.

4. Operational Efficiency
Organizations can streamline operations by identifying inefficiencies through data mining. This analysis can reveal areas that require improvement, leading to optimized processes and reduced costs.

5. Predictive Analytics
Data mining supports predictive analytics, where historical data is used to make forecasts about future trends. This capability is particularly valuable in sectors like retail and finance, where anticipating market movements can provide a competitive edge.


Which industries use Data Mining?

1. Retail
Data mining plays a crucial role in the retail industry by analyzing consumer behavior, optimizing inventory management, and personalizing marketing strategies. Retailers leverage data mining to uncover purchasing patterns and enhance customer experience.

2. Finance
In the finance sector, data mining is used for credit scoring, fraud detection, and risk management. Financial institutions analyze vast amounts of transaction data to identify suspicious activities and improve decision-making processes.

3. Healthcare
Healthcare providers utilize data mining to improve patient care and operational efficiency. By analyzing patient records and treatment outcomes, organizations can identify trends and develop better treatment protocols, leading to improved health outcomes.

4. Telecommunications
Telecommunications companies apply data mining techniques to understand customer behavior, predict churn, and optimize network performance. This analysis helps in tailoring services and promotions to meet customer needs effectively.

5. Manufacturing
In manufacturing, data mining assists in quality control, supply chain optimization, and predictive maintenance. By analyzing production data, companies can minimize downtime and enhance operational efficiency.


What tools are commonly used in Data Mining?

1. RapidMiner
This tool offers an integrated environment for data preparation, machine learning, and predictive analytics. It supports various data sources and provides a user-friendly interface for both beginners and advanced users.

2. KNIME
KNIME is an open-source platform that allows users to create data science applications through visual programming. It is versatile and integrates various components for machine learning and data mining.

3. Weka
Weka is a collection of machine learning algorithms for data mining tasks. It is particularly known for its ease of use and provides tools for data preprocessing, classification, regression, clustering, and visualization.

4. Orange
Orange is an open-source data visualization and analysis tool that uses a visual programming interface. It is ideal for beginners and offers a range of widgets for data mining tasks, including machine learning and deep learning.

5. SAS Enterprise Miner
This software provides comprehensive capabilities for data mining and predictive modeling. SAS Enterprise Miner is widely used in industries for its robust analytics and data processing capabilities.

6. Apache Spark
Spark is an open-source distributed computing system that enhances data mining processes through its fast in-memory data processing capabilities. It is particularly effective with large datasets and real-time analytics.


Insights about the Data Mining results above

Some interesting numbers and facts about your company results for Data Mining

Country with most fitting companiesUnited States
Amount of fitting manufacturers6181
Amount of suitable service providers6383
Average amount of employees1-10
Oldest suiting company2008
Youngest suiting company2019

Geographic distribution of results





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Frequently asked questions (FAQ) about Data Mining Companies

Some interesting questions that has been asked about the results you have just received for Data Mining

Based on our calculations related technologies to Data Mining are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Data Mining are IT, Software and Services, Other, Consulting, Marketing Services, Research

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Data Mining results by various countries

Related categories of Data Mining