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What is Quark Analytics?

In a controlled and efficient environment, individuals can quickly extract valuable insights from their datasets. Information can be gathered in a multitude of formats and categories, which facilitates the generation of new variables and allows for the selection of specific cases that pique interest. By employing proficient data analysis methodologies, both quantitative and qualitative variables can undergo extensive examination and scrutiny. The findings may be displayed in either tabular formats or through visual graphics. Furthermore, users have the opportunity to explore the connections between various variables and evaluate the importance of these associations. A range of statistical analyses, including Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney tests, ANOVA, and Kruskal-Wallis tests, can be utilized for these evaluations. In addition, selecting and calculating the most frequently used metrics for scale reliability can be done with ease. Consistency across dimensions within the dataset can also be assessed. By applying metrics such as Cronbach's Alpha—both in its raw and standardized forms, with or without the removal of items—alongside Guttman’s six and Intraclass correlation coefficients (ICC), further clarity regarding the reliability of the data is achieved. This thorough methodology not only promotes a detailed comprehension of the data’s framework and interrelations but also enhances the overall quality of the analysis conducted. Ultimately, such rigorous assessment contributes to making informed decisions based on the data insights obtained.

What is AdvancedMiner?

Algolytics focuses on delivering innovative software solutions and expert consulting services in areas like predictive analytics, risk management, data quality, social network analysis, and comprehensive analysis of large datasets. Users can leverage a powerful tool crafted for efficient data processing, analysis, and modeling! Its user-friendly workflow interface enables a deep exploration of both data and additional insights. The platform facilitates seamless data extraction and storage across diverse database systems and files while enabling crucial data transformations. It also supports numerous operations on datasets, such as sampling, joining, and partitioning. AdvancedMiner boasts nearly limitless capabilities for seasoned users, allowing for easy creation or customization directly within the application. Furthermore, it provides extensive support for SQL language, featuring a broad array of analytical functions to elevate your data management skills. With these tools at your disposal, you can unlock deeper insights and drive informed decision-making processes.

Media

Media

Integrations Supported

Hadoop
SQL Server

Integrations Supported

Hadoop
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

$29.90/month/user
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quark Analytics

Date Founded

2019

Company Location

Portugal

Company Website

www.quarkanalytics.com

Company Facts

Organization Name

Algolytics Technologies

Date Founded

2018

Company Location

Poland

Company Website

algolytics.com/products/advancedminer/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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