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Average Ratings 0 Ratings

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ease
features
design
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

eccenca Corporate Memory offers an all-encompassing platform that integrates various disciplines for the management of rules, constraints, capabilities, configurations, and data within a single application. By transcending the shortcomings of conventional application-focused data management approaches, its semantic knowledge graph is designed to be highly extensible and integrates seamlessly, allowing both machines and business users to interpret it effectively. This enterprise knowledge graph platform enhances global data transparency and promotes ownership across different business lines within a complex and ever-evolving data landscape. It empowers organizations to achieve greater agility, autonomy, and automation while maintaining the integrity of existing IT infrastructures. Corporate Memory efficiently consolidates and connects data from diverse sources into a unified knowledge graph, and users can navigate their comprehensive data environment using intuitive SPARQL queries and JSON-LD frames. The platform's data management is executed through the use of HTTP identifiers and accompanying metadata, ensuring a structured and efficient organization of information. Overall, eccenca Corporate Memory positions itself as a transformative solution for modern enterprises grappling with data complexities.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Active Directory No 
Microsoft Excel No 
OAuth No 

Integrations

Active Directory Yes 
Microsoft Excel Yes 
OAuth Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Mac No 
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 Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars No 
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

eccenca

Founded

2013

Country

Germany

Website

eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory

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

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis No 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics Yes 

Data Discovery

Contextual Search Yes 
Data Classification No 
Data Matching Yes 
False Positives Reduction No 
Self Service Data Preparation Yes 
Sensitive Data Identification Yes 
Visual Analytics Yes 

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management No 
Email Management No 
Policy Management Yes 
Process Management No 
Roles Management No 
Storage Management No 

Data Management

Customer Data Yes 
Data Analysis No 
Data Capture Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security No 
Information Governance Yes 
Master Data Management No 
Match & Merge Yes 

Data Mining

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

Knowledge Management

Artificial Intelligence (AI) No 
Cataloging / Categorization Yes 
Collaboration No 
Content Management No 
Decision Tree No 
Discussion Boards No 
Full Text Search No 
Knowledge Base Management Yes 
Self Service Portal Yes 

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