Oracle

Oracle Analytics Cloud

Composite Score

8.1 /10

CX Score

8.4 /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. Get the right data, to the right people, at the right time with analytics for everyone in your organization. With built-in security and governance, you can easily share insights and collaborate with your colleagues. By leveraging the cloud, you can scale up or down to suit your needs.

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Awards & Recognition

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

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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

1
Since last award

98 Plan to Renew

91 Satisfaction of Cost Relative to Value

2
Since last award

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Emotional Footprint Overview

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.

+90 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

Spatial Analysis

Real-Time Visualization

Data Modelling Tools

Data Exploration and Visualization

Operational Reporting Capabilities

Collaboration

Advanced Analytics and Data Science

BI Security

Metadata Management

Self Service and Ad Hoc Capabilities

BI Platform Administration

Vendor Capability Ratings

Average 84

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Business Value Created

Vendor Support

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 8.8

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

Oracle Analytics Cloud Reviews

Role: Human Resources
Industry: Healthcare
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Nov 2021

Once training competed easy enough to use

Likeliness to Recommend

8 /10

Pros

Continually Improving Product
Includes Product Enhancements
Security Protects
Helps Innovate

Rafael G.

Role: Sales Marketing
Industry: Other
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2021

Fantastic product

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

What makes this product totally different from others is that the built-in machine learning and artificial intelligence features within Oracle Cloud are promising and provide regular updates to those features to augment your analytics.

What is your favorite aspect of this product?

The characteristic that I like the most about this product is that it can be customized to quickly analyze small or large amounts of financial or statistical data. In addition, it allows you to access the data in a way that does not require programming.

What do you dislike most about this product?

We have not found any fault with the product as it is flexible and can be used not only for financial analysis but also for other statistical business models.

What recommendations would you give to someone considering this product?

We can recommend it as it is very easy to use, and it also allows us to extract financial data from the company to Excel. It also allows several cubes within the company.

Pros

Continually Improving Product
Enables Productivity
Trustworthy
Caring

Role: Human Resources
Industry: Healthcare
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Nov 2021

Easy to use once used to it

Likeliness to Recommend

10 /10

Pros

Transparent
Security Protects
Helps Innovate
Continually Improving Product

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

1 Since last award

98 Plan to Renew

91 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Oracle Analytics Cloud?

Pros

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

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

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

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

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.

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

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

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

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

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.

BI Platform Administration Centralized console to manage BI portal administration. Management metrics and reports on usage, resource utilization, security, and other activities.

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.

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

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.

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.

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.

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

Once training competed easy enough to use

Likeliness to Recommend

Pros

Rafael G.

Fantastic product

Likeliness to Recommend

Pros

Easy to use once used to it

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

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Feature Ratings

Spatial Analysis

Real-Time Visualization

Data Modelling Tools

Data Exploration and Visualization

Operational Reporting Capabilities

Collaboration

Advanced Analytics and Data Science

BI Security

Metadata Management

Self Service and Ad Hoc Capabilities

BI Platform Administration

Vendor Capability Ratings

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Business Value Created

Vendor Support

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training