Oracle

Oracle Analytics Cloud

Composite Score

7.9 /10

CX Score

8.2 /10

45 Reviews Write a Review

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What is Oracle Analytics Cloud?

Oracle Analytics is a comprehensive solution to meet the breadth of all analytics needs. Drive business insights with data intelligence and embedded AI from the leading cloud data and analytics ecosystem. Leverage ready-to-use analytics services for a wide variety of workloads and data.

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Awards & Recognition

Oracle Analytics Cloud won the following awards in the Business Intelligence & Analytics – Enterprise category

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9 Top Rated Capabilities

13 Top Rated Features

Latest Award, 2025

2024 Data Quadrant Gold Medalist

2024

9 Top Rated Capabilities

9 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience

2023

2023 Data Quadrant Gold Medalist

2023

8 Top Rated Capabilities

8 Top Rated Features

2023

1 Top Rated Capabilities

3 Top Rated Features

2022

Oracle Analytics Cloud Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Oracle Analytics Cloud.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

86 Likeliness to Recommend

98 Plan to Renew

91 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 93%
Negotiation and Contract:: 88%
Conflict Resolution:: 93%
Strategy & Innovation:: 88%
Service Experience:: 93%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Oracle Analytics Cloud?

3% Negative

3% Neutral

94% Positive

Pros

Respectful
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 84

Dashboard

Advanced Analytics and Data Science

Data Exploration and Visualization

Operational Reporting Capabilities

Real-Time Visualization

Spatial Analysis

Data Modelling Tools

Self Service and Ad Hoc Capabilities

Collaboration

BI Security

Data Connectors and Data Mashup

Vendor Capability Ratings

Average 84

Usability and Intuitiveness

Ease of Data Integration

Quality of Features

Ease of Implementation

Ease of Customization

Vendor Support

Business Value Created

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.7

View Oracle Analytics Cloud in this category (opens in a new tab)

Oracle Analytics Cloud Reviews

Role: C-Level
Industry: Healthcare
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Jan 2021

easy to use

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Consultant
Industry: Consulting
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Jan 2021

Great product!

Likeliness to Recommend

6 /10

Pros

Includes Product Enhancements
Security Protects
Helps Innovate
Continually Improving Product

Cons

Vendor's Interest First
Wastes Time

Role: C-Level
Industry: Finance
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Feb 2020

Delights at every turn at a lower price point

Likeliness to Recommend

10 /10

Pros

Unique Features
Saves Time
Client Friendly Policies
Client's Interest First

Oracle Analytics Cloud

What is Oracle Analytics Cloud?

Company Details

Book a Free Demo Today!

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Oracle Analytics Cloud Ratings

86 Likeliness to Recommend

98 Plan to Renew

91 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Oracle Analytics Cloud?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Operational Reporting Capabilities Real-time detailed reporting to support operational business processes.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Oracle Analytics Cloud Reviews

easy to use

Likeliness to Recommend

Pros

Great product!

Likeliness to Recommend

Pros

Cons

Delights at every turn at a lower price point

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

Microsoft Power BI

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SAP BusinessObjects

IBM Cognos Analytics

Feature Ratings

Dashboard

Advanced Analytics and Data Science

Data Exploration and Visualization

Operational Reporting Capabilities

Real-Time Visualization

Spatial Analysis

Data Modelling Tools

Self Service and Ad Hoc Capabilities

Collaboration

BI Security

Data Connectors and Data Mashup

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Data Integration

Quality of Features

Ease of Implementation

Ease of Customization

Vendor Support

Business Value Created

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training