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

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Oracle Analytics Cloud Reviews

Haley E.

Role: Information Technology
Industry: Manufacturing
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2022

Powerful enough for the complex analytical needs

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle Analytics Cloud offers powerful reporting, and machine learning capabilities, as well as key features such as data preparation and visualization of predictive analytics and gives us the freedom to create reports of our own for daily activities

What is your favorite aspect of this product?

Prompts, Navigation, dynamic filters, and different options for selecting different formats of the reports make Oracle Analytics Cloud user-friendly

What do you dislike most about this product?

Too many concurrent users and long-running queries causes the servers to be slow. For that, we had to do proper hardware requirements for the in-premise applications and allocated enough hard disk and temp spaces

What recommendations would you give to someone considering this product?

Oracle Analytics Cloud has many unique functions, all of which help put the user's work front-and-center. It will let you explore your data using different charts and graphs

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Blake B.

Role: Sales Marketing
Industry: Retail
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2022

"Excellent platform for data analysis"

Likeliness to Recommend

7 /10

What differentiates Oracle Analytics Cloud from other similar products?

Differs from other programs because it is easy to use and has many features.

What is your favorite aspect of this product?

Over the course of six months, I used Oracle Analytics and gained some useful perspective. Due of the prohibitive cost, I was forced to discontinue use. Oracle's analytics service is fantastic because of its many helpful features and intuitive interface, which greatly aid in making sense of the vast amounts of data and information it provides. An appropriate dashboard is provided to aid in forecasting.

What do you dislike most about this product?

Compared to competing products, Oracle Analytics' price tag is prohibitive. There are cheaper options available that nonetheless provide powerful analytical capabilities.

What recommendations would you give to someone considering this product?

Using this platform, even a non-technical person can create a stunning report in no time. Deploying it couldn't be simpler; all it takes is a little bit of drag-and-drop to create the graphical representation you need. I highly recommend this program.

Pros

Reliable
Trustworthy
Unique Features
Efficient Service

Jessica I.

Role: Sales Marketing
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2022

Complete set of features for analytics

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

To explain visualizations and trends, Oracle Analytics Cloud provides automatically generated natural language explanations of results. It's easy to scale to fit changing company demands without the need to manage external hardware resources

What is your favorite aspect of this product?

The best feature of Oracle Analytics Cloud is that it combines the convenience of the cloud with accurate predictions and forecasts for data processing and intuitive visualization

What do you dislike most about this product?

In Oracle Analytics Cloud, the data model used for analysis must be a star schema. When indentify the fact and dimension tables, I must assciate them in the star schema model

What recommendations would you give to someone considering this product?

Oracle Analytics Cloud is the best bet right now for increasing data-driven productivity across any organization by providing a quick path for organizations to visualize data intuitively

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Haley E.

Powerful enough for the complex analytical needs

Likeliness to Recommend

Pros

Blake B.

"Excellent platform for data analysis"

Likeliness to Recommend

Pros

Jessica I.

Complete set of features for analytics

Likeliness to Recommend

Pros

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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