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AdvancedMiner

AdvancedMiner

Overview

What is AdvancedMiner?

Designed to deploy predictive modelsOne tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files,…

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Recent Reviews
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Pricing

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AdvancedMiner Elite

1 399

Cloud
5 users and above

AdvancedMiner Pro

2 399

Cloud
3-5 Users

AdvancedMiner Server

14 999

On Premise
Unlimited Users

Entry-level set up fee?

  • $2,999 1-2 users
    Optional

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is AdvancedMiner?

Designed to deploy predictive models
One tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files, and data transformations Performing a wide range of operations on data, such as sampling, joining data-sets, and dividing Building popular statistical models, clustering analysis, variable importance analysis, model quality evaluation and comparison.

Supports all analytical tasks:

  • Extracting and saving data from/to different database systems, files, and data transformations
  • Performing a wide range of operations on data, such as sampling, joining datasets, and dividing
  • Building popular statistical models, clustering analysis, variable importance analysis, model quality evaluation and comparison of Data Mining models (LIFT, ROC, K-S, Confusion Matrix)
  • Models’ integration with external IT applications (using scoring code)
Complex analytical processes can be defined in a simple way using drag & drop technique. Advanced users can create their own scripts and new node types.
AdvancedMiner offers limitless functionalities for advanced users that can be easily created and/or extended within the application.

AdvancedMiner Features

  • Supported: Support for SQL language (including analytical functions)
  • Supported: Integration with the R package
  • Supported: Integration with Java and Hadoop Hive

AdvancedMiner Screenshots

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AdvancedMiner Video

AdvancedMiner Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows
Mobile ApplicationNo

AdvancedMiner Customer Size Distribution

Consumers14%
Small Businesses (1-50 employees)10%
Mid-Size Companies (51-500 employees)38%
Enterprises (more than 500 employees)38%
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Comparisons

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Reviews and Ratings

(3)

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
wilson bruno | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
AdvancedMiner's purpose is to offer adequate predictive models, through credible analysis, successful extractions, and other tasks that support different database operations. Further, AdvancedMiner handles other extensive processes, for instance, joining datasets, data sampling, and other data transformation processes. AdvancedMiner has made the firm develop various statistical models, with the clusters required and proper reporting procedures. Finally, AdvancedMiner has the model integration, which works with other external IT solutions.
  • Different model integration, more so the external database analytical procedures.
  • Further, AdvancedMiner helps in developing various statistical options and models, for advanced analysis.
  • AdvancedMiner makes the extraction and the mining of data, a proper solution for wide range performance.
  • The price factors from AdvancedMiner are expensive, lowering the demands of the possible subscriber.
  • Besides, the users from AdvancedMiner are limited, where only a few individuals who have the privileged of running the application.
  • Only suitable on Windows, leaving other operations systems out.
AdvancedMiner makes proper extraction of a database, allowing performance diversity in matters data analytics. More so, AdvancedMiner attempts to include different statistical models, which offer inferences that are authentic, actionable, and insightful. Again, AdvancedMiner deals with complex analytical proceedings, which allows every customer's demands and the marketing dynamics to be captured. Finally, AdvancedMiner has limitless functionality, from data storage, authentic evaluations, and visualization presentation.
  • Works with the SQL language, which is an analytical function.
  • Power to integrate with other external models and even those of statistical purposes.
  • Proper extraction mechanisms, which fosters wide range of performance.
  • Determined analytical options allow extensive performance and a wide range of operations.
  • Further, AdvancedMiner has extensive inclusion of other statistical models, that allows accurate insights.
  • Lastly, AdvancedMiner allows determined decisions, with a real-time analytics and cloud space management.
AdvancedMiner creates proper data extraction mechanisms, where storage procedures are also outlined and kept safe. Further, the statistical models are in proper work relationship with AdvancedMiner, which results in results that are accurate and authentic. Further, the complex database analysis from AdvancedMiner allows proper market evaluations and outstanding actionable insights.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
In my organization, we use AdvancedMiner as [a] WPS Analytics alternative to [performing] varied processes. On my end, it has helped me to visualize data automatically from multiple data sources to one cloud program.
  • Data modeling.
  • Visualization of data from multiple data centers in order to gain deep insights.
  • Spending less time processing and a lot of time making on the moment decisions.
  • Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.
It can be time-consuming and expensive to visualize data in multi-cloud and on-premise applications. I would recommend my colleagues try this solution in order to collect, model, and visualize data automatically.
  • SQL language for workflow automation.
  • Integration with Hadoop, Java and R language.
  • Customer intelligence capabilities.
  • Cloud analytics capabilities.
  • Self-service capabilities has enabled us to get rid of external data scientists.
  • Workloads has reduced while saving time analyzing data automatically.
  • We have increased time to value.
We evaluated Coadria, but the sales and support team delayed in responding to our tickets. For that reason, we implemented and deployed AdvancedMiner since they were highly responsive.
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