Oracle Analytics

Score7.9 out of 10

508 Reviews and Ratings

What is Oracle Analytics?

Oracle Analytics is a solution used to visually explore data to create and share compelling stories. Oracle Analytics Cloud is a cloud native service, and Oracle Analytics Server is the on-premise option.

Categories & Use Cases

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Single Sign-On (SSO)
Allows users to use one set of login credentials to access multiple applications
Category average: 8.7
Pattern Recognition and Data Mining
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Category average: 7.2
Multiple Access Permission Levels (Create, Read, Delete)
Multiple access permission levels means that different levels of users have different rights.
Category average: 8.2

Location Analytics / Geographic Visualization
Location analytics is the visualization of geographical or spatial data.
Category average: 7.8
Themeable User Interface (UI)
A themeable user interface means that a specific visual them can be applied to it
Category average: 7.4
Integration with R or other statistical packages
Integration with the open-source R predictive modeling environment.
Category average: 7.3

Most Frequent Users

Top 3 industries using Oracle Analytics.

Based on HG Insights installation data

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#1 most frequent

Professional, Scientific, and Technical Services

31.1%

171 installations of 549

#2 most frequent

Finance and Insurance

10.9%

60 installations of 549

#3 most frequent

Manufacturing

8.6%

47 installations of 549

Verified User

Manager in Customer Service (201-500 employees)

Use Cases and Deployment Scope

It's just a good tool or application overall to enable us to build reporting. Moreover, it amplifies analytics through its very good use of visualization. It helps with the end-to-end process of the analytical journey, from start or customization to the high level of visualization to the analytics via visualization.

Pros

Analytics
Creation
Visualization

Cons

Customization
Integration to other platform.
Cost

Return on Investment

Cost
Implementation
Customization

Usability

Alternatives Considered

Microsoft Power BI, Tableau Desktop and AFS-Kasse SQL

Other Software Used

NICE CXone Mpower, Oracle Access Management, Microsoft 365

Khushank Sehgal View profile

Software Engineer in Information Technology at McKinsey & Company (5001-10,000 employees)

Use Cases and Deployment Scope

We use Oracle Analytics Cloud to extract data of colleagues who are present in the company and those who have left the company. It helps us mainiting the database records from name, official email IDs, employee IDs (if they wish to join us back in the future), personal mobile number, personal email ID, their last position in company when they left, and if we can re-hire or not.

Pros

Sorting out the data on basis of IDs of employee
Pull report of ex-colleagues by just a quick 2-3 prompts
Stores data in a form which is easily readable
Easy extraction of data anytime and anywhere by approved systeme users

Cons

Sometimes data is too cluttered and is hard to read, and the only solution is to download.
Would love to see if data can be downloaded in PowerPoint form.
Sometimes data sheet are empty when too much of data is to be extracted for selection

Return on Investment

Easy, fast and quick sorting of data and accuracy is flawless
Data from years of storing can be accessed so fast
Downloading of report is superfast with correct data

Usability

Alternatives Considered

Oracle Big Data Cloud Service, 360 Business Tool and MySQL

Other Software Used

Microsoft 365 Business Premium, Slack

Kseniya Ivanchyk

People & Culture Director in Human Resources at RJ (51-200 employees)

Use Cases and Deployment Scope

We used Oracle Analytics in the past organization, and its primary main function was assisting us in generating various reports, statistics, and graphical displays of various data as needed to be resent. To my knowledge and understanding, there could be various packages that organizations may opt for and hence, a diversity of tools for reporting and graphical visualization.

Pros

extracting data from database and generating varios reports as required that capture analytical acumen
visualised reports
compiling and transforming data from multiple resources

Cons

pricing
probably certain AI tools that were not popular at that time

Return on Investment

no negative impact; the pricing is the only possible concern where certain discounts may be offered

Usability

Alternatives Considered

Oracle Cloud Infrastructure

Other Software Used

6Connex, Workday Human Capital Management, ELMO Software

Verified User

Director in Finance and Accounting (1001-5000 employees)

Use Cases and Deployment Scope

Oracle Analytics Cloud is a pretty good tool for data analytics, visualization, and reporting. It helps to build predictive models. Data models ensure everyone uses a standard set of curated data and definitions, reducing inconsistencies. Application and role-based security specify who is authorized to access what.

Pros

It enables us to connect and integrate data from various sources, including databases, data warehouses, cloud applications, and big data platforms.
Data collaboration – OAC enables users to create reports and visualizations based on source data and share those views with other OAC users.

Cons

Connectivity issues between Oracle Analytics Cloud (public or private) and any private data source that you connect to through a private access channel.

Return on Investment

Consolidated data. Cloud analytics makes it easier to gain a unified view, bringing together all your disparate data sources from different business systems in one place.
Data preparation – OAC can ingest data from multiple sources, profiling and cleansing data as loaded into the cloud service.

Usability

Emily Barkley View profile

Human Resources Director in Human Resources at Los Angeles County Department of Human Resources (1001-5000 employees)

Use Cases and Deployment Scope

Oracle Data Visualization Cloud enables me to reduce time collecting, preparing, modeling, and visualizing data scattered in all ETL services.

Pros

Collect data across all external data sources regardless of the size.
Allows users to reuse data models.
Reduce overall cost since rebuilding models isn’t needed.

Cons

Unavailability of mobile application, mainly on-premise solutions.
Lacks enough documentation for collecting data from on-premise services.

Return on Investment

Reduction in overall operational costs.
Reduction in resources usage by reusing BW models.
Data centric rapid decisions.

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What is Oracle Analytics?

Categories & Use Cases

Videos