Oracle Analytics Cloud Reviews

Name: Oracle Analytics Cloud
Brand: Oracle
Rating: 4 (23 reviews)

4.0 out of 5

23 reviews
76% willing to recommend

404 followers

What is Oracle Analytics Cloud?UNIXBusinessApplication
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Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Get the Oracle Analytics Cloud Buyer's Guide and find out what your peers are saying about Oracle Analytics Cloud, Splunk Enterprise Security, Microsoft Power BI and more!

Oracle Analytics Cloud is the #6 ranked solution in top Data Visualization solutions and #8 ranked solution in top Business Intelligence Tools. PeerSpot users give Oracle Analytics Cloud an average rating of 8.0 out of 10. Oracle Analytics Cloud is most commonly compared to Splunk Enterprise Security: Oracle Analytics Cloud vs Splunk Enterprise Security. Oracle Analytics Cloud is popular among the large enterprise segment, accounting for 53% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 28% of all views.

Buyer's Guide

Oracle Analytics Cloud

April 2024

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Featured reviews

Istiaque-Bhuiyan

General Manager at Ruby Ezate Ltd.

Oct 19, 2023

It plays a crucial role in facilitating decision-making for various organizational stakeholders. It empowers stakeholders to make informed decisions about production, predictive analysis, and overall business strategy through intuitive dashboards. This includes financial decision-makers such as the…

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Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

Nov 29, 2023

The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.

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Muhammad Saad

DevOps Engineer at Visionet Systems Inc.

Jul 14, 2023

Currently, I am getting training for Oracle Analytics Cloud and collecting feedback on its use cases like FAW data augmentation and semantic modeling from various clients The platform's FAW feature has limitations in terms of usage. We can only use it if implementation access to the fusion…

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Oracle Analytics Cloud market share

Product category:

As of March 2024, the market share of Oracle Analytics Cloud in the BI (Business Intelligence) Tools category stands at 2.6%, marking a decrease of 29.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Key learnings from peers

Last updated Feb 10, 2024

Valuable Features

"Oracle Analytics Cloud's most valuable feature is its visualization."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding.The solution is stable.The initial setup was straightforward."

Room for Improvement

"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes.It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial.AI integration would be an interesting feature to add in the next release."

Pricing

"The tool's pricing is not unreasonable or non-competitive."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Oracle Analytics Cloud Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

28%

Financial Services Firm

10%

Computer Software Company

Government

Manufacturing Company

Healthcare Company

University

Insurance Company

Energy/Utilities Company

Retailer

Comms Service Provider

Construction Company

Non Profit

Real Estate/Law Firm

Media Company

Wholesaler/Distributor

Logistics Company

Legal Firm

Hospitality Company

Transportation Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Outsourcing Company

Recruiting/Hr Firm

Performing Arts

Compare Oracle Analytics Cloud with alternative products

Learn more about Oracle Analytics Cloud

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

Oracle Analytics Cloud was previously known as Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV.