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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.
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User Experience & Accessibility
(11 Yes /11 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. |
Oracle Analytics Cloud has an intuitive, user-friendly web and mobile interface, widely documented in product reviews and Oracle's own materials. | |
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Customizable Dashboards Ability for users to create, save, and personalize dashboards according to their preferences. |
Customizable dashboards are a core, well-demoed feature (see Oracle product documentation). | |
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Drag-and-Drop Report Builder Feature for users to construct reports visually by dragging and dropping elements. |
OAC offers a visual drag-and-drop interface to build reports; confirmed in Oracle demos. | |
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Role-based Access Controls Tools to allocate permissions based on user roles to ensure data security and governance. |
Role-based access controls are available for managing security and permissions per user/role (refer Oracle documentation). | |
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Mobile Access Support for mobile devices via responsive design or dedicated apps. |
Full responsive design and mobile app access provided. | |
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Natural Language Query (NLQ) Users can type questions in plain language to query data or generate reports. |
Supports NLQ (natural language queries) as marketed under 'Search & Ask' in product demos. | |
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Localization & Language Support Availability of the tool in multiple languages to support global teams. |
Oracle Analytics supports localization in multiple languages—officially cited in release documentation. | |
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Onboarding Tutorials In-app tutorials or walkthroughs to assist new users. |
Comprehensive onboarding tutorials and guided walkthroughs are present. | |
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Keyboard Shortcuts Productivity-enhancing shortcut keys. |
Keyboard shortcuts documented in Oracle's end-user guides. | |
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Accessibility Compliance Supports accessibility standards (e.g., WCAG) for users with disabilities. |
States support for accessibility standards (e.g., Oracle Accessibility Conformance Reports). | |
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Custom Themes & Branding Ability to tailor the interface’s look and feel to align with corporate branding. |
Oracle Analytics enables branding and theming (see 'Branding' in configuration guides). |
Data Connectivity & Integration
(8 Yes /8 Known /10 Possible features)
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Broad Data Source Connectivity Ability to connect with various databases, data warehouses, APIs, cloud storage, and CSV/Excel files. |
OAC connects to databases, cloud storage, APIs, files, and major data warehouses. | |
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Real-time Data Updating Capability for real-time or near-real-time data refresh from source systems. |
Real-time and scheduled data refreshes are supported. | |
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Batch Data Import Support for scheduled or manual bulk data imports. |
Batch and manual data import (Oracle Data Integration, Data Flows) are supported. | |
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Data Blending Ability to combine data from multiple sources into a single view. |
Data blending (combining sources for unified views) is a marketed feature. | |
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Data Model Customization Ability for users to extend or adapt existing data models. |
Supports extension/adaptation of data models by users. | |
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No/Low-Code Integration Data connectivity achievable without writing code or via visual interfaces. |
Offers visual connection builders for data integration—no code required for many sources. | |
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Automated Data Mapping Assists in mapping imported fields to data model or report fields. |
Automated data field mapping is included in data integration workflows. | |
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API Support Availability of APIs for advanced integrations and automation. |
Comprehensive API support for administration, embedding, and integration. | |
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Maximum Simultaneous Data Connections The maximum number of concurrent data source connections supported. |
No information available | |
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Data Query Speed Average latency to retrieve and render data from sources. |
No information available |
Data Preparation & Management
(9 Yes /9 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. |
In-app data cleansing workflows support deduplication, error correction, and more. | |
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Data Transformation Functions Pre-built operations for joining, pivoting, aggregating, and formatting data. |
Provides aggregation, unions, pivots, joins, etc. as built-in data transformation functions. | |
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Calculated Columns/Fields Allows users to create new fields based on formulas or logic. |
Users can create calculated columns and fields within Oracle Analytics Cloud. | |
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Self-service Data Modeling Enables users to define relationships and hierarchies without IT involvement. |
'Self-service' capabilities are explicitly described in Oracle's marketing and documentation. | |
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Data Lineage Tracking Tracks data flows and transformations from source to report. |
Data lineage (tracing transformation from source to presentation) is available through data model management. | |
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Data Quality Indicators Displays data validity, freshness, and completeness to the end-user. |
Indicators of freshness, completeness, and validity available as data quality widgets. | |
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Ingestion Throughput Maximum volume of data that can be ingested per hour. |
No information available | |
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Undo/Redo Data Changes Support for rolling back or reapplying data preparation steps. |
Explicit undo/redo functionality available for data flows and preparation steps. | |
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Data Retention Settings Ability to set policies for how long data is stored within the tool. |
Data retention policies available via lifecycle management settings. | |
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Metadata Management Tools for managing data dictionaries, tagging, and field descriptions. |
Comprehensive metadata management functions in OAC (dictionaries, tags, etc.). |
Analytics & Reporting Capabilities
(9 Yes /9 Known /11 Possible features)
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Wide Range of Visualization Types Variety of chart types, maps, and custom visualization options. |
Numerous visualization types including custom viz extensions available. | |
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Ad Hoc Query/Analysis Users can construct and modify queries on the fly without IT help. |
Ad hoc querying and analytics supported through interactive interface. | |
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Automated Insights/Recommendations Tool proactively surfaces trends and anomalies. |
Automated AI-generated insights highlighted as a competitive feature in OAC. | |
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Drill-down/Drill-through Ability to navigate from summary-level data to granular transaction details. |
Users can drill down/drill through to underlying data interactively. | |
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Time Series Analysis Specialized support for analyzing trends over time. |
Specifically supports time series analysis with suitable visualizations. | |
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Comparative Analysis Easily compare multiple data sets, cohorts, or time periods. |
Comparative analysis (side-by-side, measure-to-measure, time period comparisons) is core to the analytics. | |
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Pivot Tables Dynamic summarization and reorganization of data in table form. |
Pivot tables supported; regular feature in OAC dashboards. | |
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Scheduled Reports Ability to automate report generation and distribution at set intervals. |
Report and dashboard scheduling/automaton fully supported. | |
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Maximum Report Size The limit on the number of rows or fields that can be included in a report. |
No information available | |
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Export Formats Supported Variety of available formats for exporting reports, such as PDF, Excel, CSV. |
No information available | |
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Geospatial/Map Analytics Support for spatial data and map-based visualization. |
OAC supports geospatial and map analytics natively. |
Collaboration & Sharing
(8 Yes /8 Known /9 Possible features)
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Report & Dashboard Sharing Users can share their work directly with others inside or outside the organization. |
Cross-organizational dashboard and report sharing available via links, email, and more. | |
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Annotations & Comments Ability to add context and notes directly onto reports and visuals. |
Annotation and commenting options available for collaborative analytics. | |
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Real-time Collaboration Multiple users can edit, comment, or build dashboards simultaneously. |
Multiple users can collaboratively build and edit dashboards in real-time. | |
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Publish to Web/Embed Reports or dashboards can be embedded in other web applications or portals. |
Publish and embed functionalities are available for integrating visualizations within other web portals. | |
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Version Control Track changes and manage multiple versions of reports or dashboards. |
Tracks changes and manages versions of dashboards and reports. | |
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Email Distribution Automated or ad hoc distribution of reports via email. |
Reports and dashboards can be distributed to users via scheduled email. | |
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User Activity Logs Tracks viewing, editing, and sharing activity for collaboration oversight. |
Tracks user activities for audit and oversight purposes. | |
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Approval Workflows Built-in processes for reviewing and approving analytics outputs. |
Approval workflows are supported inside OAC for analytics outputs. | |
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Max Simultaneous Editors Maximum number of users who can actively work on the same dashboard or report. |
No information available |
Security & Compliance
(9 Yes /9 Known /9 Possible features)
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Encryption In-Transit Protects data transfers from source to tool via strong cryptography. |
Encryption in-transit is supported using TLS as standard for Oracle cloud products. | |
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Encryption At-Rest Stored data is encrypted to prevent unauthorized access. |
Data is encrypted at rest as documented for Oracle Analytics (cloud platform security page). | |
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Audit Trails Tracks all user activities for security and compliance reviews. |
User activity and item-level audit trails are available. | |
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Single Sign-On (SSO) Integration Integration with enterprise SSO solutions for authentication. |
Supports SSO integrations (SAML, OAuth2), as per Oracle documentation. | |
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SOC 2/ISO 27001 Compliance Certification for industry security best practices. |
Oracle Cloud maintains SOC 2 and ISO 27001 compliance, and this extends to OAC. | |
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Granular Permission Settings Allow custom, fine-grained control over user and group permissions. |
Fine-grained permission management is available at user, group, and object level. | |
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Data Masking Ability to obscure sensitive data within the analytics environment. |
Data masking of sensitive fields is possible via Oracle Data Security controls. | |
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GDPR/CCPA Support Features to help comply with data privacy regulations. |
OAC assists compliance with GDPR/CCPA, including tools for subject requests and audit. | |
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Password Policy Management Admin controls over password complexity and expiration across accounts. |
Password management features available including enforcement of complexity, history, and expiration. |
Scalability & Performance
(3 Yes /3 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. |
No information available | |
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Data Volume Handling Total volume of data that the tool can store or process efficiently. |
No information available | |
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Average Query Response Time The typical time from request to response for user queries. |
No information available | |
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Elastic Cloud Resources Ability to scale compute and storage resources up or down automatically. |
Elastic scaling is a cloud platform feature—compute and storage can be scaled seamlessly. | |
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High Availability Built-in redundancy and failover to ensure minimal downtime. |
High availability achieved through Oracle Cloud architecture (documented uptime & failover). | |
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Disaster Recovery Capabilities for automated backups and restoring operations in event of failure. |
Automated, regular backups and disaster recovery plans built-in to the orchestration. | |
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Processing Throughput Maximum rate of data processed per minute. |
No information available |
Advanced Analytics & AI
(8 Yes /8 Known /9 Possible features)
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Pre-built Statistical Functions Range of built-in statistical and mathematical functions (e.g., regression, clustering, forecasting). |
Statistical functions including regression and forecasting are documented in OAC user guides. | |
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Integration with ML Frameworks Ability to import/export models or call out to platforms like Python/R/TensorFlow. |
Can integrate with ML frameworks, such as Oracle Data Science, Python, R, and via APIs. | |
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Predictive Analytics Workflows Tooling for business users to set up and run predictive models. |
Predictive analytics workflows are showcased as part of Oracle's advanced analytics feature set. | |
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Anomaly Detection Automated identification and flagging of unusual patterns or outliers. |
Supports anomaly detection, both automatic and model-driven. | |
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Natural Language Generation (NLG) Automatic narrative summaries of trends and key findings in simple language. |
OAC supports NLG—auto-generates narrative summaries of findings. | |
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Scenario Analysis Simulate and compare alternative business or risk scenarios. |
Scenario analysis available (i.e., What-If simulations), especially in financial modules. | |
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Custom Script Support Ability to add custom Python, R, or SQL code for advanced analytics. |
Supports custom scripting (SQL, R, Python) for data flows and advanced analytics. | |
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Model Versioning Track and compare multiple iterations of predictive models. |
Model versioning available through Oracle Machine Learning integration. | |
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Max Model Size Maximum size of a deployed machine learning model. |
No information available |
Deployment & Architecture
(6 Yes /6 Known /8 Possible features)
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SaaS/Cloud Deployment Available as a cloud-based application delivered over the internet. |
OAC is a SaaS solution, available in Oracle Cloud. | |
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On-premise Deployment Ability to install and operate within customer-controlled infrastructure. |
On-prem deployment is supported as per Oracle documentation for regulated industries. | |
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Hybrid Deployment Supports both on-premise and cloud deployment options in parallel. |
Can be run hybrid (cloud and on-prem) depending on customer need. | |
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Multi-Tenant Support Ability to serve multiple clients or business units from a single instance. |
Multi-tenant mode available, as OAC is used for external client and internal BUs. | |
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API-first Architecture Designed with robust, documented APIs for integration and extension. |
Extensive, robust REST APIs available—API-centric design promoted in documentation. | |
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Containerization Support Supports deployment using containers such as Docker or Kubernetes. |
Supports Docker containerization for deployment (per Oracle Cloud Infrastructure docs). | |
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Single Instance Uptime Guaranteed level of uptime for the main analytics environment. |
No information available | |
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Disaster Recovery RTO Recovery time objective in minutes for disaster recovery scenarios. |
No information available |
Support & Community
(6 Yes /6 Known /7 Possible features)
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24/7 Customer Support Around-the-clock support via phone, chat, or email. |
24/7 support available through Oracle customer support programs. | |
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Dedicated Account Manager Assigned contact-person for business partnership management. |
Enterprise and strategic accounts get a dedicated account manager. | |
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In-product Help Embedded context-sensitive help and documentation. |
In-product help and guided walkthroughs embedded in all OAC interfaces. | |
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Online Knowledge Base Public or private web resource for product documentation and best practices. |
A well-maintained online knowledge base is available for OAC. | |
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User Community Forum An online community where users can ask questions and share tips. |
Active user community at Oracle Cloud Customer Connect and related forums. | |
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Training & Certification Formal training tracks and product certification programs. |
Training, certifications, and formal learning programs are established for Oracle Analytics. | |
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Time to Initial Response Guaranteed maximum delay before first contact from support. |
No information available |
Cost & Licensing
(5 Yes /5 Known /6 Possible features)
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Transparent Pricing Clear and accessible information about all product costs. |
Pricing information, including editions and add-on costs, is published on oracle.com. | |
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Flexible Licensing Options Multiple ways to purchase or license the product (e.g., subscription, per-user, enterprise). |
Multiple licensing models available: BYOL, Universal Credits, per-user, etc. | |
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Tiered Feature Packages Product features bundled into different price points or packages. |
Feature packages (Professional/Enterprise/Essentials) are offered at different price points. | |
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Free Trial Availability Users can evaluate the product without immediate payment. |
Free trials are available for Oracle Analytics Cloud. | |
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Pay-as-you-go Metering Usage-based billing options for flexible scaling. |
Metered ('pay-as-you-go') and non-metered pricing options are publicly available. | |
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Minimum Contract Term Shortest contract commitment available. |
No information available |
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