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Oracle Data Mining

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About Oracle Data Mining

Oracle Data Mining is a data mining software from Oracle that provides analytics capabilities. It combines accessibility policy, Oracle Cloud Infrastructure, and Oracle AI Database so users can analyze large datasets efficiently. This software is designed to facilitate data analysis and model building for improved decision-making processes. It also includes Oracle Fusion Cloud Applications and quick links for easier navigation and integration with other Oracle services. Key capabilities: accessibility policy Oracle Cloud Infrastructure Oracle Fusion Cloud Applications Oracle AI Database quick links Best for: data analysts and data scientists that need to perform advanced analytics and machine learning tasks on large data sets.

Oracle Data Mining Details

Vendor
Oracle
Year Launched
1977
Location
Austin, Texas
Deployment
cloud
Training Options
videos, demo
Countries Served
All Countries
Languages
English, German, French, Italian, Spanish, Portuguese, Japanese, Korean, Chinese
Users
Data Scientists, Citizen Data Scientists, Business Analysts, Database Administrators (DBAs), Application Developers, Data Engineers
Industries Served
Finance, Retail, Telecommunications, Healthcare, Government, Manufacturing, Utilities, Transportation, Insurance, Education
Tags
Data Mining, Oracle

Oracle Data Mining's In-App Market Place

Does Oracle Data Mining have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), INR (₹), RUB (₽), BRL (R$), MXN (MXN$).

Pros & Cons

  • Extensive Data Integration: Easily connects disparate data sources and supports complex workflows and transformations2.
  • Robust Governance & Compliance: Offers strong tools for data quality, security, and regulatory compliance4.
  • Advanced Analytics: Includes embedded machine learning, real-time insights, and powerful visualization tools for data exploration6.
  • Scalable & Flexible Deployment: Supports cloud, on-premises, and hybrid environments with high availability architecture8.
  • Marketing Automation Compatibility: Integrates well with existing marketing platforms for audience targeting and segmentation.
  • Global Accessibility: Cloud-based access enables data availability from anywhere.
  • Support Resources: Extensive documentation and training materials help users get up to speed quickly10.
  • Complex Setup: Initial configuration and integration with business processes can be time-consuming.
  • Steep Learning Curve: Requires technical expertise to fully leverage advanced features.
  • Pricing Structure: May be cost-prohibitive for smaller organizations due to complex licensing.
  • Customization Overload: High flexibility can lead to usability challenges for non-technical users.
  • Mobile Limitations: Lack of seamless mobile access and reliance on roaming for authentication may hinder remote use.
  • Data Accuracy Concerns: Some users noted that consumer data accuracy could be improved for marketing use cases.

Oracle Data Mining's Support Options

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