What’s New in Oracle Analytics Cloud 2024?
- October 16, 2024
- Mohammed Nadeem Uddin
- 0
Self-Service Analytics: Users can explore data independently, create visualizations, and build interactive dashboards without needing advanced technical skills.
AI and Machine Learning Integration: OAC integrates with Oracle Cloud Infrastructure (OCI) AI services, allowing users to incorporate machine learning models and AI-powered insights into their analytics.
Advanced Visualizations: The cloud-based analytics platform supports customizable charts, graphs, and geographic visualizations to represent data meaningfully.
Data Preparation Tools: It provides tools for data wrangling, cleansing, and transforming, streamlining the process of making data analysis-ready.
Collaboration and Sharing: Oracle Analytics Cloud allows teams to share reports and dashboards securely, facilitating collaboration across the organization.
Oracle Analytics Cloud is also designed to be scalable and adaptable, and its cloud infrastructure offers the flexibility to handle large data volumes for organizations of various sizes.
What's New in 2024
AI and Machine Learning: The new Oracle Analytics AI Assistant is a key feature, allowing users to interact with their data more intuitively by asking natural language questions. Additionally, integration with OCI AI Services simplifies embedding machine learning models into analytics workflows, enabling deeper insights and predictions.
Enhanced Visualizations: OAC now offers more map customization, including the ability to modify region colors, adjust line thickness, and use static reference layers for more detailed geographic insights. You can also add conditional formatting with icons and emojis, making data visualization more engaging.
Improved Parameters and Calculations: The enhanced parameter management tools allow users to enforce validations and create parameters more efficiently. There’s also support for nested calculations, streamlining complex data processing.
User Experience: The new filter chip style offers a more compact and flexible way to manage dashboard filters, optimizing space for visualizations while improving interactivity. Plus, negative values on the y-axis of charts are now easier to visualize, providing better clarity for financial and trend analysis.
How Can Organizations Leverage the New Features
AI and Machine Learning Integration
AI Assistant: The AI assistant allows teams to access data through natural language queries, simplifying analytics for non-technical users. This allows anyone within the organization to generate insights quickly without needing deep technical skills.
OCI AI Services: The ability to integrate AI services directly into analytics workflows helps organizations automate predictions, anomaly detection, and trend forecasting. For example, an FMCG company could use these AI features to predict supply chain disruptions or shifts in consumer demand, leading to better inventory management.
Enhanced Visualizations
Map Customizations and Static Layers: Organizations that rely on geospatial data, such as retail chains or logistics firms, can customize maps with new region colorings, line adjustments, and static reference layers. For instance, a retail company could visualize store locations alongside custom layers showing population density or weather patterns, aiding in site selection and distribution planning.
Conditional Formatting with Icons and Emojis: This feature enhances the visual appeal of dashboards and can be particularly useful for quickly identifying key trends. A financial services company could use icons to highlight positive or negative trends in financial data, making it easier for executives to focus on critical insights.
Advanced Parameters and Calculations
Enhanced Parameters: With more robust parameter management, organizations can create more dynamic reports that adapt based on user input. For example, a healthcare organization could use this feature to create dynamic dashboards that adjust based on parameters like date range, department, or patient category, providing more tailored insights to decision-makers.
Nested Calculations: Organizations dealing with complex datasets (like manufacturing or telecommunications) can use nested calculations to build multi-layered reports, making data processing more efficient and reducing manual intervention.
Improved User Experience
Filter Chip Style: The new filter chip style can make dashboards more interactive and space-efficient, providing a cleaner layout for users. This is particularly useful in organizations where dashboards are frequently used to monitor real-time operations, such as in customer service or IT support environments.
Visualization of Negative Values: The ability to better visualize negative values on the y-axis will help organizations improve their financial reporting, especially for profit and loss statements. This feature aids industries like retail, where losses or returns are essential metrics.
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