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features
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support

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Write a Review

Description

Oracle Data Miner empowers data scientists, "citizen data scientists," along with business and data analysts to interact seamlessly with data within the database through an intuitive graphical interface that utilizes a "drag and drop" workflow editor. As an extension of Oracle SQL Developer, Oracle Data Miner (ODMr) effectively captures and visually documents the analytical processes users follow while delving into data and crafting machine learning techniques. The workflows created with ODMr are instrumental for not only re-executing analytical methods but also for facilitating knowledge sharing among team members. Moreover, ODMr efficiently produces SQL and PL/SQL scripts while providing a workflow API that streamlines the deployment of models across the organization. By minimizing data movement, ensuring scalability for big data, maintaining security, and speeding up the transition from model development to deployment, organizations can effectively harness their data assets. This enhanced approach ultimately leads to more informed decision-making and improved business outcomes.

Description

TADA by MyDataModels offers a top-tier predictive analytics solution that enables professionals to leverage their Small Data for business improvement through a user-friendly and easily deployable tool. With TADA, users can quickly develop predictive models that deliver actionable insights in a fraction of the time, transforming what once took days into mere hours thanks to an automated data preparation process that reduces time by 40%. This platform empowers individuals to extract valuable outcomes from their data without the need for programming expertise or advanced machine learning knowledge. By utilizing intuitive and transparent models composed of straightforward formulas, users can efficiently optimize their time and turn raw data into meaningful insights effortlessly across various platforms. The complexity of predictive model construction is significantly diminished as TADA automates the generative machine learning process, making it as simple as inputting data to receive a model output. Moreover, TADA allows for the creation and execution of machine learning models on a wide range of devices and platforms, ensuring accessibility through its robust web-based pre-processing capabilities, thereby enhancing operational efficiency and decision-making.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$5347.46 per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html

Vendor Details

Company Name

MyDataModels

Founded

2018

Country

France

Website

www.mydatamodels.com

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection Yes 
Linked Data Management No 
Machine Learning No 
Predictive Modeling Yes 
Semantic Search No 
Statistical Analysis Yes 
Text Mining No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization Yes 
High Volume Processing No 
Predictive Analytics Yes 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Mining

Data Extraction No 
Data Visualization Yes 
Fraud Detection Yes 
Linked Data Management No 
Machine Learning Yes 
Predictive Modeling Yes 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting Yes 
For Education No 
For Healthcare Yes 
Modeling & Simulation Yes 
Sentiment Analysis No 

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