Oracle Analytics Cloud - Detailed Review
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Oracle Analytics Cloud - Product Overview
Oracle Analytics Cloud Overview
Oracle Analytics Cloud (OAC) is a comprehensive, cloud-based business intelligence and analytics platform developed by Oracle. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Oracle Analytics Cloud is built to support the entire analytics workflow, enabling users to derive and share data insights efficiently. It integrates data from various sources, prepares and transforms the data, and provides tools for visualization, discovery, and collaboration. This platform is designed to help organizations make intelligent, data-driven decisions across all levels of the business.Target Audience
OAC is intended for a wide range of users within an organization, including IT professionals, executives, data engineers, citizen data scientists, business analysts, and general business users. It caters to different roles by providing both centralized, governed reporting and business-led self-service analytics.Key Features
Data Connectivity
OAC allows users to unify data sources using out-of-the-box connections and JDBC for other sources and legacy systems. It supports accessing personal data sets like Excel or CSV files and securely managing these connections across the organization.Data Preparation
The platform includes tools for ingesting, profiling, and cleansing data using various algorithms. Data loads can be triggered manually or automatically at predetermined intervals, ensuring users have access to up-to-date data.Data Flow and Modeling
OAC enables data transformation and aggregation, as well as running machine-learning models at scale. It also supports developing trusted and governed semantic models to ensure consistent views of business-critical data. Business users can join tables through self-service and share data models with colleagues.Data Visualization and Discovery
Users can visualize and explore data on any device, both on-premises and in the cloud. The platform facilitates collaboration between subject matter experts and business users, blending intelligent analysis and machine learning insights.Data Collaboration and Access
OAC simplifies data sharing without the need for managing multiple versions of spreadsheets. It offers fine-grained data-level security, ensuring users see only the data they have access to. The platform also provides automated delivery of analytics and mobile apps that learn from user patterns to deliver intelligent recommendations.AI and Machine Learning
The Oracle Analytics Cloud AI Assistant uses natural language processing (NLP) and machine learning to help users interact with data through plain language queries. This feature increases accessibility for non-technical users and enhances productivity by streamlining workflows and generating insights without the need for complex technical knowledge or SQL queries.Centralized and Self-Service Analytics
OAC combines centralized, governed reporting with business-led self-service analytics, ensuring consistent and trusted numbers across the organization. It supports interactive self-service analytics for data preparation, visualization, enterprise reporting, and augmented analysis powered by machine learning. By integrating these features, Oracle Analytics Cloud provides a comprehensive solution for organizations to leverage their data effectively and make informed decisions. Oracle Analytics Cloud - User Interface and Experience
User Interface of Oracle Analytics Cloud (OAC)
The user interface of Oracle Analytics Cloud (OAC) is crafted to be intuitive, user-friendly, and highly interactive, making it accessible to a wide range of users regardless of their technical expertise.Interface Design
Oracle Analytics Cloud offers two main user interfaces: the legacy “UI” and the newer “jet” interface. Both interfaces provide the same functionality but have different areas that are easier to manage in each.Legacy UI and Jet Interface
Users can switch between these interfaces by adjusting the URL. The legacy UI and the jet interface cater to different user preferences, with some features and areas being more manageable in one interface over the other.Ease of Use
OAC is designed with a code-free, drag-and-drop interface that allows anyone in the organization to build interactive data visualizations without specialized skills. This makes it easy for users to create and share compelling data stories.Drag-and-Drop Interface
This feature enables users to add data, create visualizations, and build dashboards without needing to write code, significantly reducing the learning curve and administrative overhead.User Experience
The overall user experience is enhanced through several key features:Responsive Web Design
Oracle Analytics Cloud is optimized for use on any device, including mobile devices, thanks to its responsive web design and gestural interfaces. This ensures an optimal display and interaction experience across various platforms.Single Sign-On and Integration
Users can access a wide range of analytics applications and technology services through single sign-on, providing a consistent user experience. OAC also integrates seamlessly with collaboration platforms like Slack and Microsoft Teams, allowing users to share and interact with insights within group discussions.Automated Insights and Alerts
The platform delivers automated insights and ongoing monitoring of business activities. Users receive intelligent recommendations based on their data interests and can query data using natural language in 28 languages. Real-time alerts are also available for new data, reports, threshold metrics, or specific GPS locations.Customization and Personalization
Users can customize tooltips, hide columns in visualizations, and save background, border, and shadow styles to canvas templates. These features help in creating a personalized and engaging user experience.Contextual Insights
OAC provides contextual insights that allow users to understand their data better by accessing meaningful insights about specific data selections in a visualization. This feature enhances the user’s ability to make informed decisions.Additional Features
Other features that contribute to a positive user experience include:Workbook Email Scheduler
Administrators can share up-to-date visualizations by scheduling recurring emails, ensuring that users stay updated with the latest insights.Enhanced Data Addition
The interface has been improved to make adding data to workbooks easier, with features like resizing the Add Data dialog and loading multiple sheets simultaneously. Overall, Oracle Analytics Cloud is designed to be user-friendly, highly interactive, and integrated with various tools and platforms, making it an effective and engaging analytics solution. Oracle Analytics Cloud - Key Features and Functionality
Oracle Analytics Cloud Overview
Oracle Analytics Cloud (OAC) is a comprehensive, cloud-based business intelligence and analytics platform that integrates advanced AI and machine learning capabilities to enhance data analysis and decision-making. Here are the key features and functionalities, particularly focusing on the AI-driven aspects:
Data Preparation and Integration
OAC allows users to ingest data from multiple sources, including various databases, Excel files, and other data sets. The platform can profile and cleanse the data as it is loaded, ensuring that users have access to up-to-date and accurate data. This automated data ingest process can be triggered manually or set to run at predetermined intervals.
Data Flow and Transformation
The platform includes data flow features that enable users to transform and aggregate data. These transformations can be performed using ETL tools before loading the data into OAC or directly within the platform. This capability helps in creating business-friendly views of the data suitable for analysis.
Data Visualization
OAC offers robust data visualization tools that allow users to visualize and explore their data on any device, whether on-premises or in the cloud. Users can create various types of visualizations, such as maps, sunburst charts, and box plots, and customize tooltips and other visualization elements to make complex data more engaging and meaningful.
AI and Machine Learning Integration
Oracle Analytics Cloud embeds AI and machine learning throughout the platform, making it accessible to users of all skill levels. Here are some key AI-driven features:
Generative AI Assistants
These assistants use natural language to help users create visualizations during workbook construction. Users can enter questions or commands, and the assistant will generate the appropriate visualizations based on the data.
Augmented Analytics
This feature helps users conduct sophisticated analysis more efficiently. It includes capabilities like automated data analysis, identification of meaningful business drivers, and detection of data anomalies. Users can use one-click advanced analytics to display quick forecasts, trend lines, clusters, and reference lines without needing to write code.
AutoML Capability
Integrated with Oracle Database, AutoML analyzes the data set, automatically selects the most accurate machine learning algorithm, and creates a new ML model. This simplifies the process for users who lack machine learning expertise.
OCI AI Services Integration
OAC integrates with OCI AI Services, including OCI Vision and OCI Document Understanding. These integrations enable advanced use cases such as image analysis and document processing, allowing business professionals to derive insights from visual and textual data.
Contextual Insights
The platform provides contextual insights that help users understand specific data selections in a visualization. This feature allows subject matter experts to collaborate with other business users, blending intelligent analysis at scale and machine learning insights.
Data Collaboration and Security
OAC facilitates data collaboration by enabling teams to share data and reports while ensuring fine-grained access control. Users can share watchlists, perform ad hoc analysis, and manage mail server configurations programmatically, all while maintaining data-level security.
Enhanced User Experience
Recent updates to OAC include features such as conditional formatting for attributes, customized tooltips in various visualization types, and the ability to hide columns in visualizations. These enhancements improve the user experience by making data more accessible and easier to interpret.
Automation and Scheduling
The platform allows administrators to schedule recurring emails with up-to-date visualizations, ensuring that stakeholders receive timely and relevant data insights. This feature, known as the Workbook Email Scheduler, supports formats like Microsoft Excel, PDF, and PNG.
Conclusion
In summary, Oracle Analytics Cloud leverages AI and machine learning to streamline data analysis, enhance decision-making, and provide a user-friendly experience for business users across various roles. Its integrated AI capabilities make it easier for teams to work with data from multiple sources and types, driving more efficient and informed business decisions.
Oracle Analytics Cloud - Performance and Accuracy
Performance Metrics and Monitoring
OAC allows for thorough performance monitoring through the Oracle Cloud Infrastructure (OCI) Monitoring service. You can track critical metrics such as Query Capacity Usage and Data Source Connection Errors. For instance, if the query capacity usage is consistently high (above 80%), it may indicate that your organization’s usage is consuming a significant amount of resources, possibly due to high concurrent user activity or insufficient resources in the application design. To address this, you can set up alarms to notify you when these metrics reach certain thresholds, enabling proactive management and potential scaling of resources, such as increasing the number of OCPUs allocated to your service.AI and Machine Learning Capabilities
OAC integrates artificial intelligence, generative AI, and machine learning extensively throughout its analytics process. This includes one-click advanced analytics for quick forecasts, trend lines, and data anomalies detection. Users can customize prediction intervals and model types without needing to code. The platform also features an “Explain” capability to identify meaningful business drivers and contextual insights from the data set. Additionally, OAC supports training and publishing various machine learning models, such as numeric prediction, multi-classifier, and clustering models, which can be checked for quality and accuracy.Limitations and Areas for Improvement
Despite its advanced features, OAC has several limitations:Data Modeling Effort
OAC requires data to be represented in a dimensional model, such as a star schema, before it can be queried and analyzed. This necessitates significant data modeling effort and ETL pipeline operations, which can add cost and delay the availability of business data.Lack of Application-Ready Dashboards
Unlike some other platforms, OAC lacks prebuilt, application-ready dashboards for many enterprise applications. This means data engineers and analysts must spend considerable time developing their own dashboards, which can be a time-consuming and complex process.Connection Errors
While OAC monitors data source connection errors, these errors can still occur due to various reasons such as network issues or data source configurations. Resolving these errors may require collaboration with network and data source administrators.Accuracy and Reliability
The accuracy and reliability of OAC are supported by its integrated AI and ML capabilities. For example, the AutoML feature in Oracle Database can automatically select the most accurate ML algorithm for a given data set, simplifying the model creation process and ensuring high accuracy without requiring extensive machine learning expertise. Additionally, the ability to train, tune, and publish ML models within OAC helps in maintaining the quality and accuracy of the analytics outputs. In summary, while Oracle Analytics Cloud offers strong performance monitoring and advanced AI/ML capabilities, it also comes with significant data modeling requirements and a lack of prebuilt dashboards for many enterprise applications. Addressing these limitations can help in optimizing the overall performance and accuracy of the platform. Oracle Analytics Cloud - Pricing and Plans
Pricing Plans
Professional Edition
- This plan is priced at $16 per user, per month.
- Alternatively, it can be billed at $0.54 per Oracle Compute Unit (OCPU) per hour for companies preferring the OCPU pricing model.
Enterprise Edition
- This plan is priced at $80 per user, per month.
- It can also be billed at $1.07 per OCPU per hour.
Features by Plan
Professional Edition
- Includes features such as workbooks and self-service analytics, datasets and direct connection to data sources, data preparation using data flows, and machine learning capabilities.
- Also includes explain, auto-insights, and natural language features, as well as mobile applications and custom knowledge enrichment.
Enterprise Edition
- In addition to all the features available in the Professional Edition, the Enterprise Edition includes advanced enterprise analysis and dashboards, Oracle Analytics Publisher for pixel-perfect reports, and enterprise semantic modeling.
- It also offers email distribution for analysis, dashboards, and pixel-perfect reports, usage tracking, and customer-managed data encryption keys.
Free Options
While there are no free permanent plans for Oracle Analytics Cloud, Oracle does offer a few free options through their broader cloud services:
- Oracle Cloud Free Tier: This allows users to sign up for an Oracle Cloud account with Always Free services and a $300 cloud credit for 30 days. However, this is not specific to Oracle Analytics Cloud but can be used to explore various Oracle Cloud services, including some database and infrastructure services.
For specific pricing details on other products like Oracle Analytics Server, Oracle Fusion Analytics, and Oracle Essbase, you would need to contact the vendor directly, as this information is not publicly available.
Oracle Analytics Cloud - Integration and Compatibility
Oracle Analytics Cloud Overview
Oracle Analytics Cloud (OAC) is highly versatile and integrates seamlessly with a variety of tools and platforms, making it a comprehensive solution for analytics needs.
Data Connectivity and Integration
OAC supports a wide range of data connections, allowing users to unify their data sources. It offers out-of-the-box connections to various data sources, as well as the ability to use JDBC (Java Database Connectivity) for other sources and legacy systems. This includes integration with big data repositories such as Apache Hadoop and Apache Spark, enabling the extraction, transformation, and loading (ETL) of data from these sources.
Cloud and On-Premises Compatibility
Oracle Analytics is available in multiple deployment options: cloud with Oracle Analytics Cloud (OAC), on-premises with Oracle Analytics Server (OAS), or in a hybrid deployment using both. This flexibility allows organizations to choose the deployment method that best suits their needs. For instance, existing OBIEE customers can either upgrade to OAS on-premises or migrate their content to OAC in the cloud.
Identity and Security Integration
OAC integrates with various identity providers for authentication. It supports cloud authentication through Oracle Identity Cloud Service (IDCS) and can federate with other identity providers such as Microsoft Active Directory. On-premises-supported identity servers include Microsoft Active Directory, Open LDAP, and several Oracle identity management solutions. Role-based security is also a key feature, allowing precise access permissions to be defined at the user, group, and role level.
AI and Machine Learning Integrations
OAC embeds artificial intelligence, generative AI, and machine learning throughout the analytics process. It integrates with Oracle Cloud Infrastructure (OCI) AI Services, including OCI Vision and OCI Document Understanding, which extend its machine learning capabilities. Users can leverage one-click advanced analytics, AutoML capabilities, and predefined models to create accurate ML models without requiring machine learning expertise.
IoT and Other Oracle Services
OAC can integrate with Oracle IoT Asset Monitoring Cloud Service, although this integration is currently deprecated and will be removed in a future release. This integration allowed for the syncing of asset, metric, and incident data to perform analyses and create visualizations within OAC.
Cross-Device Compatibility
Oracle Analytics Cloud provides tools to visualize and explore data on any device, whether on-premises or in the cloud. This ensures that users can access and analyze data from anywhere, at any time, using mobile apps that learn from their unique patterns and data interests to deliver intelligent recommendations.
Data Collaboration and Security
OAC facilitates data collaboration by allowing users to share data and reports while ensuring fine-grained access control. Data-level security ensures that users see only the data they have access to, making it suitable for both large organizations and small teams.
Conclusion
In summary, Oracle Analytics Cloud offers extensive integration capabilities with various data sources, platforms, and services, making it a highly compatible and versatile analytics solution.
Oracle Analytics Cloud - Customer Support and Resources
Oracle Analytics Cloud Support Options
Oracle Analytics Cloud (OAC) offers a comprehensive set of customer support options and additional resources to ensure users can effectively utilize the platform.Technical Support
Oracle provides 24/7 technical support for Oracle Analytics Cloud. Users can access support through several channels:Cloud Support Chat
Available directly from the Oracle Cloud Infrastructure Console by selecting the chat icon at the top right. This is the preferred method for immediate assistance.My Oracle Support
Users can sign in to access a range of support resources, including the ability to submit service requests and track their status.Community Support
For SaaS or PaaS-related questions, users can visit the Oracle Customer Connect community for peer-to-peer support and discussions.Development and Integration Resources
For development-related questions, Oracle recommends using StackOverflow and tagging questions with `oracle-cloud-infrastructure` to get help from the developer community. Additionally, Oracle provides various APIs and SDKs for developers and integrators to extend and customize their Oracle Analytics Cloud instance. For example, the Oracle Analytics Publisher REST API allows for the programmatic creation and management of Publisher reports and jobs.Documentation and Guides
Oracle offers extensive documentation and guides to help users get the most out of Oracle Analytics Cloud:Product Guides
Detailed guides on new features, enhancements, and how to use specific functionalities such as deploying custom OCI Language models, using the Oracle Analytics AI Assistant, and managing identity providers.Search Features
Users can use the simple and advanced search features in the Oracle Cloud Infrastructure Console to find specific Oracle Analytics Cloud instances and resources within their tenancy.Training and Certification
Oracle provides training, certification, and in-application guidance to help users and their teams become proficient with the platform. This includes free introductory learning, detailed training on new cloud features, and best-practice business processes.Community and Forums
Users can engage with the Oracle community through forums like Oracle Customer Connect, where they can discuss issues, share knowledge, and get support from other users and Oracle experts. By leveraging these support options and resources, users of Oracle Analytics Cloud can ensure they have the assistance and information needed to effectively utilize the platform and achieve their business goals. Oracle Analytics Cloud - Comparison with Competitors
Comparative Overview of Oracle Analytics Cloud
When comparing Oracle Analytics Cloud (OAC) with its competitors in the business analytics and AI-driven product category, several key features and differences stand out.Data Connectivity and Preparation
OAC offers extensive data connectivity, supporting a wide range of data sources including relational databases, structured, unstructured, SaaS, and graph data sources, as well as streaming data sources.Key Features
- Unlike Microsoft Power BI and Tableau, OAC includes developer APIs for integration, embedded analytics, and mobile analytics without additional fees.
- OAC also provides no-code visual data preparation and workflows, along with intelligent data preparation using machine learning to add context to data sets, a feature not available in Power BI or Tableau.
Data Modeling and Governance
OAC features an enterprise-grade semantic layer that supports large, complex models for multiple subject areas, which is more comprehensive than what Tableau offers. Additionally, OAC allows for data model access, export, and interoperability with third-party analytics tools, a capability lacking in Tableau.Governance Features
- The platform ensures consistent and trusted numbers across the enterprise through its governed reporting and analytics, which is a strong point compared to the more limited governance capabilities in Power BI and Tableau.
Augmented Analytics
Oracle Analytics Cloud includes a Digital Assistant with text and voice-enabled conversational analytics, supporting analytics search, ask, and explain in 28 languages, far exceeding the language support in Power BI (2 languages) and Tableau (1 language).Automated Insights
- Automated insights with unbiased, data-driven visualizations are also a highlight, though this feature is shared with Power BI and Tableau.
Data Visualization and Storytelling
OAC offers interactive data visualization with popular chart types, custom visualizations, and extensible SDKs. It also provides deep geocoding, geospatial computation, and visualization without requiring additional GIS licensing, which is an advantage over Power BI.Reporting Features
- Paginated pixel-perfect operational reporting and subscription delivery are available in OAC, a feature not found in Tableau.
Advanced Analytics
Oracle Analytics Cloud supports complete machine learning model building, deployment, and governed consumption capabilities, as well as real-time analytics with live streaming data sources. These features are not fully available in Tableau.Security, Governance, and Support
OAC provides a single unified environment to govern and control costs, along with comprehensive migration support across multiple cloud providers to avoid lock-in. It also offers simple licensing with transparent pricing and packaging, which is more cost-effective for scaling to many users compared to Power BI and Tableau.Alternatives
If you are considering alternatives to Oracle Analytics Cloud, here are some options:Microsoft Power BI
- Known for its ease of use and integration with Microsoft products, but it lacks some of the advanced features and unified experience offered by OAC.
Tableau
- Strong in self-service data visualization but limited in advanced analytics, data modeling, and governance compared to OAC.
Qlik Sense
- Offers strong data modeling and analytics capabilities but may not match the comprehensive suite of features and AI-driven analytics of OAC.
Looker
- Focuses on cloud-based business intelligence with strong data modeling, but it may not offer the same level of AI and machine learning integration as OAC.
Conclusion
In summary, Oracle Analytics Cloud stands out for its comprehensive suite of features, including advanced data connectivity, intelligent data preparation, robust governance, and extensive AI-driven analytics capabilities, making it a strong choice for organizations seeking a complete business analytics solution. Oracle Analytics Cloud - Frequently Asked Questions
Frequently Asked Questions about Oracle Analytics Cloud
How do I access my Oracle Analytics Cloud service?
To access your Oracle Analytics Cloud service, you need to go through the Oracle Cloud Infrastructure Console. Navigate to the Oracle Analytics Cloud – Classic page, click the name of the service you want to access, then click the “Manage this service” menu, and finally click the “Oracle Analytics Cloud URL.”
How can I patch or upgrade my Oracle Analytics Cloud service?
You can patch or upgrade your service directly from the Oracle Cloud Infrastructure Console. There is no specific schedule you must follow for applying patches, as functional and critical security enhancements are delivered through these patches and can be applied at your organization’s preferred time.
Can I manually update software packages running in my service instance?
Oracle Analytics Cloud is based on an Oracle Linux image. You can update the installed packages using the yum update command. However, for any custom changes to the image, you need to log a service request with Oracle Support to check supportability. You do not need to log a service request to run approved scripts available under /bi/app/public/bin.
How do I connect to the database where my organization’s analytics data is stored?
You do not connect to the database from the Oracle Cloud Infrastructure Console. Instead, you connect to the data within the service you created. Follow the steps to access your service as described above.
What network options can I use to manage access into and out of my service?
Oracle Analytics Cloud offers various network options to manage access. You can configure VPN connectivity for your service to your network, and there are other network options available to control access into and out of your service.
What are the pricing plans for Oracle Analytics Cloud?
Oracle Analytics Cloud has two main pricing plans: the Professional plan and the Enterprise plan. The Professional plan costs $16 per user per month, while the Enterprise plan costs $80 per user per month. Additionally, pricing can be based on Oracle Compute Units (OCPU) per hour, with the Professional plan costing $0.54 OCPU per hour and the Enterprise plan costing $1.07 OCPU per hour.
Can I configure a private mail server to deliver reports and visualizations from Oracle Analytics Cloud?
Yes, you can configure a private mail server to deliver reports and visualizations from Oracle Analytics Cloud. This allows you to manage how reports and visualizations are sent to users within your organization.
What happens to my content if I terminate my subscription to Oracle Analytics Cloud?
If you terminate your subscription to Oracle Analytics Cloud, you need to ensure that you have backed up your content before the termination date. Oracle does not retain your content after the subscription is terminated.
How do I connect Oracle Analytics Cloud to a private data source over a private access channel?
To connect Oracle Analytics Cloud to a private data source over a private access channel, you need to configure the necessary network settings. This typically involves setting up VPN connectivity or other secure access methods to ensure data is accessed securely.
Do I need to back up and restore the actual data associated with my datasets separately?
Yes, you need to back up and restore the actual data associated with your datasets separately. While Oracle Analytics Cloud provides snapshots, these are primarily for the service configuration and not for the underlying data. You should use your database backup to ensure your data is properly backed up and can be restored if needed.
Oracle Analytics Cloud - Conclusion and Recommendation
Final Assessment of Oracle Analytics Cloud
Oracle Analytics Cloud (OAC) stands out as a comprehensive and powerful tool in the business analytics and AI-driven product category. Here’s a detailed assessment of its benefits, ideal users, and an overall recommendation.
Key Benefits
- Improved System and Query Performance: OAC enhances data processing efficiency by streamlining data transformation, reducing delays in data acquisition and analysis, and executing complex queries up to 40%-70% faster.
- Enhanced Analytics and Self-Service Capabilities: The platform offers self-service analytics for data preparation, visualization, and reporting, which significantly improves user efficiency and reduces report generation time. It also supports advanced analytics such as forecasting and clustering.
- Faster Time to Value: By automating data discovery, preparation, and visualization, OAC accelerates the time it takes for businesses to derive valuable insights from their data.
- Lower Costs: OAC reduces costs by automating various analytics operations, minimizing the need for IT support, and providing scalable cloud infrastructure that can be adjusted as needed.
Ideal Users
Oracle Analytics Cloud is particularly beneficial for several key audiences:
- Business Users: Sales, marketing, and finance teams can leverage OAC to generate data-driven insights, identify new revenue streams, optimize customer experiences, and measure the effectiveness of marketing campaigns.
- IT Professionals: IT analysts, administrators, and capacity managers can use OAC to manage IT resources more efficiently, analyze system performance, and optimize IT operations.
- Application Owners: Those responsible for managing applications can benefit from OAC’s capabilities in monitoring application performance and making data-driven decisions to improve application efficiency.
Data Connectivity and Advanced Analytics
OAC supports a wide range of data sources, including relational databases, structured and unstructured data, SaaS, and graph data sources. It also includes advanced features like machine learning, natural language processing, and real-time analytics, which enable users to gain deeper insights and make more informed decisions.
User Experience and Collaboration
The platform offers a user-friendly interface with self-service data visualization and storytelling capabilities, allowing business users to create and share insights without extensive IT support. The mobile application provides contextual insights based on users’ daily activities, enhancing collaboration and productivity across teams.
Recommendation
Oracle Analytics Cloud is highly recommended for organizations seeking a comprehensive business analytics solution that integrates data preparation, visualization, and advanced analytics within a single platform. Its ability to improve system performance, enhance user efficiency, and reduce costs makes it an attractive option for businesses aiming to drive growth and profitability.
For those considering OAC, it is worth taking advantage of the trial offer to experience its features firsthand. The platform’s scalability, security, and governance features ensure that it can meet the diverse needs of various business teams, from sales and marketing to finance and IT. Overall, Oracle Analytics Cloud is a solid choice for any organization looking to leverage data analytics to make intelligent, data-driven decisions.