Oracle Analytics Cloud

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Software Status:Active

About Oracle Analytics Cloud

Oracle Analytics Cloud is an analytics software from Oracle that uses machine learning and AI to analyze data from across the organization so users can make smarter and quicker decisions. It provides accessibility policy, quick links, and integration with Oracle Cloud Infrastructure so users can easily access and manage their data. With built-in connections to Oracle Fusion Cloud Applications and Oracle Database, it supports comprehensive data analysis and reporting capabilities. This platform is designed to help organizations use their data efficiently for informed decision-making. Key capabilities: machine learning integration data visualization self-service analytics cloud deployment accessibility standards Best for: businesses and analysts that need reliable data analytics tools for informed strategic decisions.

Oracle Analytics Cloud Details

Vendor

Oracle

Year Launched

1977

Location

2300 Oracle Way, Austin, Texas 78741, USA

Deployment

cloud, on premise, windows, linux, ios, android

Training Options

documentation, videos, live online, in person

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Chinese, Korean.

Users

Large Enterprises, Medium-sized Businesses, Data Analysts, Business Intelligence Professionals

Industries Served

Financial Services, Healthcare, Retail, Manufacturing, Telecommunications, Public Sector

Oracle Analytics Cloud's In-App Market Place

Does Oracle Analytics Cloud have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (CHF), Cny (CN¥), Sek (kr), Nzd (NZ$), Rub (₽), Inr (₹), Brl (R$), Krw (₩), Try (₺), Zar (R), Mxn ($)

Pros & Cons

Ease of Use: Users find the platform to be user-friendly and easy to navigate, even for non-technical users.
Powerful Features: Offers a comprehensive set of features for data ingestion, preparation, visualization, and analysis.
Scalability: The cloud-based platform allows for easy scaling up or down as needed.
Security: Oracle is known for its secure cloud services.
Collaboration: Enables collaborative analytics for workgroups and enterprises.
Flexibility: Can be deployed on-premises, in the cloud, or as a hybrid model.
Automation: Automates tasks like data preparation and modeling, streamlining workflows.
Advanced Analytics: Includes embedded machine learning and natural language processing capabilities.
Reporting: Delivers a wide range of reporting options, including dynamic insights and self-service reporting.

Mobile App: Lacks a dedicated mobile application.
Visualization: While offering visualizations, some users find them less appealing compared to competitors like Tableau and Looker.
Scalability Limitations: May not be ideal for very large enterprises that require rapid scaling.
Limited Machine Learning: Built-in machine learning capabilities are not as advanced as specialized AI software.
Integration: Integrating with other tools can be challenging.
Performance: May experience slowdowns when many users access the platform simultaneously.
Backup and Recovery: The backup and recovery process is not considered intuitive.