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Oracle

Oracle Analytics Cloud

8.1 /10

44 Reviews Write a Review

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.

Company Details

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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.

86 Likeliness to Recommend

1
Since last award

98 Plan to Renew

90 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+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?

4% Negative

2% Neutral

94% Positive

Pros

Respectful
Reliable
Enables Productivity
Caring

Feature Ratings

Average 82

Spatial Analysis

Data Exploration and Visualization

Real-Time Visualization

Data Modelling Tools

Collaboration

Operational Reporting Capabilities

Advanced Analytics and Data Science

BI Security

Intelligent Alerts and Notifications

Metadata Management

Self Service and Ad Hoc Capabilities

Vendor Capability Ratings

Average 84

Quality of Features

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of Data Integration

Ease of Customization

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

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Oracle Analytics Cloud Reviews

Nitin T.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Awesome Features... cost disappoint

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

Awesome product, great features, easy implementation

What is your favorite aspect of this product?

Features and easy implementation

What do you dislike most about this product?

Cost can be reduced

What recommendations would you give to someone considering this product?

Easy implementation and great features

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Cavin S.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2024

Great Features.

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle Analytics Cloud offers robust security features and granular access controls to ensure data confidentiality, integrity, and compliance with regulatory requirements.

What is your favorite aspect of this product?

It Incorporates AI and machine learning capabilities for augmented analytics, enabling users to uncover valuable insights and make data-driven decisions more effectively.

What do you dislike most about this product?

While Oracle Analytics Cloud offers extensive customization options, organizations with highly specialized requirements may encounter limitations in tailoring the platform to their specific needs.

What recommendations would you give to someone considering this product?

Consider the technical proficiency of end-users and provide appropriate training and support to maximize adoption and utilization.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Unique Features

Eddy C.

Role: Finance
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2023

Fantastic software.

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle has been investing heavily in cloud computing, offering a range of cloud services, including Infrastructure as a Service .

What is your favorite aspect of this product?

Oracle applications are designed to help businesses streamline their processes and improve efficiency.

What do you dislike most about this product?

NOTHING SPECIAL

What recommendations would you give to someone considering this product?

Oracle has a strong global presence, serving customers in various industries and regions. This global reach can be beneficial for multinational corporations looking for standardized technology solutions across their operations.

Pros

Efficient Service
Client Friendly Policies
Fair
Reliable

How We Deliver

Oracle Analytics Cloud

What is Oracle Analytics Cloud?

Company Details

Need Assistance?

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

90 Satisfaction of Cost Relative to Value

1 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.

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

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.

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

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

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.

Intelligent Alerts and Notifications Ability to create, manage, send and receive notifications, enhancing efficiency and productivity.

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.

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

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.

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 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.

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

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.

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

Nitin T.

Awesome Features... cost disappoint

Likeliness to Recommend

Pros

Cavin S.

Great Features.

Likeliness to Recommend

Pros

Eddy C.

Fantastic software.

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

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Title

1
Since last award

1
Since last award

Feature Ratings

Spatial Analysis

Data Exploration and Visualization

Real-Time Visualization

Data Modelling Tools

Collaboration

Operational Reporting Capabilities

Advanced Analytics and Data Science

BI Security

Intelligent Alerts and Notifications

Metadata Management

Self Service and Ad Hoc Capabilities

Vendor Capability Ratings

Quality of Features

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of Data Integration

Ease of Customization

Vendor Support

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training