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What is Oracle Healthcare Analytics?

Utilize advanced cloud analytics and data science innovations to analyze healthcare information and develop groundbreaking AI solutions. Design evidence-based care models that not only improve patient experiences but also increase clinician satisfaction levels. In addition, strive to reduce healthcare expenses while enhancing the overall health outcomes of the population. The Oracle Autonomous Data Warehouse alleviates the challenges of managing data warehouses and crafting data-centric applications by addressing essential elements such as database management and security measures. With its fully integrated suite of tools for data ingestion, preparation, and machine learning (ML), you can easily store, manage, and leverage your data. Transform your findings into actionable evidence-based care strategies and precision medicine frameworks that can significantly impact patient care. Provide executives, analysts, and IT staff with the capability to access business intelligence from any location, whether they are in an office or at healthcare facilities. Accelerate your analytical workflows through automated data preparation and built-in ML features, ensuring a cohesive strategy for data-informed decision-making. Effectively leveraging these resources enables organizations to nurture a culture of ongoing enhancement in healthcare service delivery while fostering a collaborative environment among various stakeholders.

What is Oracle Autonomous Data Warehouse?

The Oracle Autonomous Data Warehouse is a cloud-native solution crafted to alleviate the complex issues related to managing a data warehouse, such as cloud operations, ensuring data security, and developing data-driven applications. This innovative service automates key tasks including provisioning, configuration, security protocols, performance tuning, scaling, and data backup, thereby optimizing the overall user experience. It also provides self-service capabilities for data loading, transformation, and business modeling, along with automated insights and integrated converged database features that simplify querying across various data formats and support machine learning tasks. Accessible via the Oracle public cloud or Oracle Cloud@Customer deployed within client facilities, it grants organizations the flexibility they need. According to industry experts at DSC, Oracle Autonomous Data Warehouse presents significant advantages, positioning it as a top choice among many global corporations. Additionally, a variety of applications and tools seamlessly integrate with the Autonomous Data Warehouse, further boosting its functionality and user effectiveness, making it an invaluable asset for businesses looking to harness their data effectively.

Media

Media

Integrations Supported

Oracle Cloud Infrastructure
Progress DataDirect
Protegrity
Sesame Software
ThinkData Works

Integrations Supported

Oracle Cloud Infrastructure
Progress DataDirect
Protegrity
Sesame Software
ThinkData Works

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/industries/healthcare/analytics/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/autonomous-database/autonomous-data-warehouse/

Categories and Features

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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