What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a comprehensive cloud service designed for data analysis. It offers scalability, security, and a suite of collaborative analytics capabilities within the Oracle Cloud environment.

Capabilities

The service supports the entire analytics workflow, enabling users to unify data sources, profile and cleanse data, and run machine-learning models at scale. It offers extensive data management and service management features.

Integration and Accessibility

With flexible data connections, including JDBC, Oracle Analytics Cloud integrates with a variety of data sources and legacy systems. It allows for the creation, management, and sharing of data connections, ensuring accessibility on any device.

Collaboration and Customization

Business users can collaborate effectively, sharing data models and insights. The service provides tools for data visualization and the ability to customize and embed analytic experiences.

Support and Governance

Oracle Analytics Cloud serves all organizational roles, from IT to business users, with centralized reporting and self-service analytics. It offers a semantic model for data abstraction and built-in AI, fostering a governed but flexible analytical environment.

What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a comprehensive cloud service designed for business analytics. It offers scalability, security, and a complete suite of features for collaborative analytics across organizations. With Oracle Analytics Cloud, users experience a quick setup, easy management, and the ability to scale services and apply patches with minimal effort.

Service Management and Analytics Workflow

This cloud service supports the full analytics workflow, facilitating data unification from various sources, including out-of-the-box data connections and JDBC for legacy systems. It streamlines the creation, management, and sharing of connections, ensuring access to all necessary data for analysis.

Data Management and Machine Learning

Oracle Analytics Cloud enables data profiling and cleansing using advanced algorithms. It allows for data transformation, aggregation, and the running of machine-learning models at scale. Users can join tables through self-service and leverage the platform's built-in AI and customizable machine learning algorithms to gain insights.

Collaboration and Visualization

Collaboration is a key feature, allowing business users to share data models and insights with colleagues. Oracle Analytics Cloud enhances data visualization on any device, making complex concepts more engaging and understandable. It also enables applications to be tailored to include analytic experiences.

Role Support and Governance

Oracle Analytics Cloud caters to all organizational roles, from IT to executives to citizen data scientists. It provides centralized and governed reporting, business-led self-service analytics, and a semantic model that abstracts physical data sources and query languages for streamlined data analysis.

Oracle Analytics Cloud vs Salesforce CRM Analytics

Service Capabilities

Oracle Analytics Cloud offers a comprehensive suite of analytics capabilities, supporting the entire workflow from data unification to machine learning. It caters to all roles within an organization, from IT to business users. In contrast, Salesforce CRM Analytics, formerly known as Tableau CRM, focuses on CRM-related analytics within the Salesforce ecosystem, providing insights primarily for sales, service, and marketing functions.

Scalability and Management

Both services offer scalability, but Oracle Analytics Cloud emphasizes easy scaling, patching, and fast setup. Salesforce CRM Analytics integrates with Salesforce products, potentially offering seamless scalability within its platform. Oracle's service management capabilities are flexible, catering to a broad range of enterprise needs.

Data Connectivity and Integration

Oracle Analytics Cloud allows for unifying various data sources and provides a wide range of out-of-the-box data connections, including JDBC for legacy systems. Salesforce CRM Analytics is designed to work seamlessly with Salesforce data, though it can connect to external data sources.

Data Preparation and Machine Learning

Oracle Analytics Cloud provides tools for profiling, cleansing, and transforming data, along with customizable machine learning algorithms. Salesforce CRM Analytics also offers AI and machine learning capabilities, but these are typically tailored to CRM data and use cases.

Collaboration and Visualization

Both platforms support collaborative analytics and data sharing among business users. Oracle Analytics Cloud facilitates data model sharing and visualization on any device, ensuring complex data is easy to understand. Salesforce CRM Analytics provides visualization tools tightly integrated with the Salesforce platform, aiming to create engaging experiences for CRM users.

Customization and Self-Service

Oracle Analytics Cloud allows applications to extend, customize, and embed analytic experiences, promoting a business-led self-service approach. Salesforce CRM Analytics is also customizable and offers self-service analytics, but within the context of the Salesforce environment and its applications.

Governance and Reporting

Oracle Analytics Cloud offers centralized and governed reporting, with a semantic model that abstracts physical data sources and query languages. Salesforce CRM Analytics provides governed data and analytics, with a focus on delivering CRM-related insights and reports.

Explore Sourcetable as an Analytics Alternative

As organizations seek efficient analytics tools, Sourcetable emerges as a versatile spreadsheet solution. Unlike Oracle Analytics Cloud and Salesforce CRM Analytics, Sourcetable simplifies data manipulation by leveraging a familiar spreadsheet interface, perfect for those accustomed to traditional spreadsheet programs.

Users can effortlessly integrate various data sources into Sourcetable, enabling real-time querying and analysis. This feature is particularly useful for teams requiring immediate insights without the complexity of advanced analytics platforms.

With capabilities to add and rename data tables, as well as reorder tabs, Sourcetable offers a user-friendly experience for data organization. These features ensure that users can customize their workbooks to match their workflow needs.

Further enhancing its analytical capabilities, Sourcetable allows users to upload CSV files and create charts directly within the interface. This streamlined approach to data visualization is efficient for quick reporting and decision-making processes.

Sourcetable stands out for its simplicity and real-time data manipulation, making it an accessible alternative for users who need straightforward, spreadsheet-like analytics tools.