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Oracle Analytics Cloud from Oracle Financial Services
A comprehensive analytics platform that automates data preparation, delivers insightful analytics, offers collaborative analytics, and features powerful visualization capabilities, allowing organizations to make informed financial decisions.
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Product analysis by function
Self-Service Analytics Tools for Business Intelligence and Analytics
User-friendly applications that allow business users to create their own reports, conduct analyses, and explore data without relying on IT specialists.
More Self-Service Analytics Tools
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User Experience & Accessibility
(0 Yes /0 Known /11 Possible features)
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Intuitive User Interface A visually clear and well-organized interface that allows users to find and use functionalities easily. |
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Customizable Dashboards Ability for users to create, save, and personalize dashboards according to their preferences. |
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Drag-and-Drop Report Builder Feature for users to construct reports visually by dragging and dropping elements. |
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Role-based Access Controls Tools to allocate permissions based on user roles to ensure data security and governance. |
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Mobile Access Support for mobile devices via responsive design or dedicated apps. |
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Natural Language Query (NLQ) Users can type questions in plain language to query data or generate reports. |
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Localization & Language Support Availability of the tool in multiple languages to support global teams. |
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Onboarding Tutorials In-app tutorials or walkthroughs to assist new users. |
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Keyboard Shortcuts Productivity-enhancing shortcut keys. |
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Accessibility Compliance Supports accessibility standards (e.g., WCAG) for users with disabilities. |
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Custom Themes & Branding Ability to tailor the interface’s look and feel to align with corporate branding. |
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Data Connectivity & Integration
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Broad Data Source Connectivity Ability to connect with various databases, data warehouses, APIs, cloud storage, and CSV/Excel files. |
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Real-time Data Updating Capability for real-time or near-real-time data refresh from source systems. |
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Batch Data Import Support for scheduled or manual bulk data imports. |
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Data Blending Ability to combine data from multiple sources into a single view. |
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Data Model Customization Ability for users to extend or adapt existing data models. |
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No/Low-Code Integration Data connectivity achievable without writing code or via visual interfaces. |
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Automated Data Mapping Assists in mapping imported fields to data model or report fields. |
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API Support Availability of APIs for advanced integrations and automation. |
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Maximum Simultaneous Data Connections The maximum number of concurrent data source connections supported. |
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Data Query Speed Average latency to retrieve and render data from sources. |
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Data Preparation & Management
(0 Yes /0 Known /10 Possible features)
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In-app Data Cleansing Ability to detect and handle duplicates, missing values, and errors within the tool. |
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Data Transformation Functions Pre-built operations for joining, pivoting, aggregating, and formatting data. |
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Calculated Columns/Fields Allows users to create new fields based on formulas or logic. |
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Self-service Data Modeling Enables users to define relationships and hierarchies without IT involvement. |
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Data Lineage Tracking Tracks data flows and transformations from source to report. |
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Data Quality Indicators Displays data validity, freshness, and completeness to the end-user. |
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Ingestion Throughput Maximum volume of data that can be ingested per hour. |
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Undo/Redo Data Changes Support for rolling back or reapplying data preparation steps. |
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Data Retention Settings Ability to set policies for how long data is stored within the tool. |
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Metadata Management Tools for managing data dictionaries, tagging, and field descriptions. |
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Analytics & Reporting Capabilities
(0 Yes /0 Known /11 Possible features)
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Wide Range of Visualization Types Variety of chart types, maps, and custom visualization options. |
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Ad Hoc Query/Analysis Users can construct and modify queries on the fly without IT help. |
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Automated Insights/Recommendations Tool proactively surfaces trends and anomalies. |
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Drill-down/Drill-through Ability to navigate from summary-level data to granular transaction details. |
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Time Series Analysis Specialized support for analyzing trends over time. |
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Comparative Analysis Easily compare multiple data sets, cohorts, or time periods. |
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Pivot Tables Dynamic summarization and reorganization of data in table form. |
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Scheduled Reports Ability to automate report generation and distribution at set intervals. |
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Maximum Report Size The limit on the number of rows or fields that can be included in a report. |
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Export Formats Supported Variety of available formats for exporting reports, such as PDF, Excel, CSV. |
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Geospatial/Map Analytics Support for spatial data and map-based visualization. |
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Collaboration & Sharing
(0 Yes /0 Known /9 Possible features)
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Report & Dashboard Sharing Users can share their work directly with others inside or outside the organization. |
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Annotations & Comments Ability to add context and notes directly onto reports and visuals. |
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Real-time Collaboration Multiple users can edit, comment, or build dashboards simultaneously. |
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Publish to Web/Embed Reports or dashboards can be embedded in other web applications or portals. |
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Version Control Track changes and manage multiple versions of reports or dashboards. |
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Email Distribution Automated or ad hoc distribution of reports via email. |
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User Activity Logs Tracks viewing, editing, and sharing activity for collaboration oversight. |
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Approval Workflows Built-in processes for reviewing and approving analytics outputs. |
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Max Simultaneous Editors Maximum number of users who can actively work on the same dashboard or report. |
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Security & Compliance
(0 Yes /0 Known /9 Possible features)
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Encryption In-Transit Protects data transfers from source to tool via strong cryptography. |
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Encryption At-Rest Stored data is encrypted to prevent unauthorized access. |
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Audit Trails Tracks all user activities for security and compliance reviews. |
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Single Sign-On (SSO) Integration Integration with enterprise SSO solutions for authentication. |
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SOC 2/ISO 27001 Compliance Certification for industry security best practices. |
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Granular Permission Settings Allow custom, fine-grained control over user and group permissions. |
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Data Masking Ability to obscure sensitive data within the analytics environment. |
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GDPR/CCPA Support Features to help comply with data privacy regulations. |
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Password Policy Management Admin controls over password complexity and expiration across accounts. |
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Scalability & Performance
(0 Yes /0 Known /7 Possible features)
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Concurrent User Support Maximum number of users who can use the product at once without performance degradation. |
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Data Volume Handling Total volume of data that the tool can store or process efficiently. |
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Average Query Response Time The typical time from request to response for user queries. |
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Elastic Cloud Resources Ability to scale compute and storage resources up or down automatically. |
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High Availability Built-in redundancy and failover to ensure minimal downtime. |
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Disaster Recovery Capabilities for automated backups and restoring operations in event of failure. |
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Processing Throughput Maximum rate of data processed per minute. |
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Advanced Analytics & AI
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Pre-built Statistical Functions Range of built-in statistical and mathematical functions (e.g., regression, clustering, forecasting). |
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Integration with ML Frameworks Ability to import/export models or call out to platforms like Python/R/TensorFlow. |
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Predictive Analytics Workflows Tooling for business users to set up and run predictive models. |
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Anomaly Detection Automated identification and flagging of unusual patterns or outliers. |
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Natural Language Generation (NLG) Automatic narrative summaries of trends and key findings in simple language. |
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Scenario Analysis Simulate and compare alternative business or risk scenarios. |
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Custom Script Support Ability to add custom Python, R, or SQL code for advanced analytics. |
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Model Versioning Track and compare multiple iterations of predictive models. |
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Max Model Size Maximum size of a deployed machine learning model. |
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Deployment & Architecture
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SaaS/Cloud Deployment Available as a cloud-based application delivered over the internet. |
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On-premise Deployment Ability to install and operate within customer-controlled infrastructure. |
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Hybrid Deployment Supports both on-premise and cloud deployment options in parallel. |
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Multi-Tenant Support Ability to serve multiple clients or business units from a single instance. |
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API-first Architecture Designed with robust, documented APIs for integration and extension. |
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Containerization Support Supports deployment using containers such as Docker or Kubernetes. |
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Single Instance Uptime Guaranteed level of uptime for the main analytics environment. |
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Disaster Recovery RTO Recovery time objective in minutes for disaster recovery scenarios. |
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Support & Community
(0 Yes /0 Known /7 Possible features)
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24/7 Customer Support Around-the-clock support via phone, chat, or email. |
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Dedicated Account Manager Assigned contact-person for business partnership management. |
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In-product Help Embedded context-sensitive help and documentation. |
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Online Knowledge Base Public or private web resource for product documentation and best practices. |
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User Community Forum An online community where users can ask questions and share tips. |
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Training & Certification Formal training tracks and product certification programs. |
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Time to Initial Response Guaranteed maximum delay before first contact from support. |
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Cost & Licensing
(0 Yes /0 Known /6 Possible features)
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Transparent Pricing Clear and accessible information about all product costs. |
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Flexible Licensing Options Multiple ways to purchase or license the product (e.g., subscription, per-user, enterprise). |
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Tiered Feature Packages Product features bundled into different price points or packages. |
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Free Trial Availability Users can evaluate the product without immediate payment. |
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Pay-as-you-go Metering Usage-based billing options for flexible scaling. |
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Minimum Contract Term Shortest contract commitment available. |
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