Oracle Data Cloud Features
What are the features of Oracle Data Cloud?
Data Integration
- Offline Data Integration
- Mobile Data Integration
Data Analysis & Optimization
- Audience Segmentation
- Recommendations
- Standard Dashboards
Platform
- Data Permissions
- User, Role, and Access Management
- Performance and Reliability
- Internationalization
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Oracle Data Cloud Categories on G2
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Data Integration
1st-Party Data Integration | Integration with ad servers, DSPs, and SSPs, and other data sources for in- and out-bound data transfer. | Not enough data | |
2nd-Party Data Integration | Allows user to combine first party data collected with additional first party data of strategic partners. | Not enough data | |
3rd-Party Data Integration | Breadth of standard integrations to third-party data providers. | Not enough data | |
Offline Data Integration | As reported in 15 Oracle Data Cloud reviews. Able to easily integrate data from offline sources. | 83% (Based on 15 reviews) | |
Mobile Data Integration | Able to easily integrate mobile data within the DMP platform. This feature was mentioned in 13 Oracle Data Cloud reviews. | 85% (Based on 13 reviews) | |
Data Export Tools | Able to extract data from the DMP in bulk through a structured file. | Not enough data |
Data Analysis & Optimization
Audience Segmentation | Based on 10 Oracle Data Cloud reviews. Ease of segmenting user profiles into groups. | 95% (Based on 10 reviews) | |
Recommendations | Analyzes data to find and recommend the highest value customer segmentations. 15 reviewers of Oracle Data Cloud have provided feedback on this feature. | 84% (Based on 15 reviews) | |
Standard Dashboards | Provides pre-built dashboards to aggregate and display data. This feature was mentioned in 14 Oracle Data Cloud reviews. | 88% (Based on 14 reviews) | |
Custom Reports | Allows users to easily build customized reports and dashboards. | Not enough data |
Platform
Data Permissions | As reported in 13 Oracle Data Cloud reviews. Able to set data permissions for strategic partners. | 87% (Based on 13 reviews) | |
User, Role, and Access Management | See feature definition | Based on 13 Oracle Data Cloud reviews. Grant access to select data, features, objects, etc. based on the users, user role, groups, etc. | 86% (Based on 13 reviews) |
Performance and Reliability | Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond. 10 reviewers of Oracle Data Cloud have provided feedback on this feature. | 92% (Based on 10 reviews) | |
Enterprise Scalability | Provides features to allow scaling for large organizations. | Not enough data | |
Internationalization | Enables users to use the DMP in multiple languages. This feature was mentioned in 10 Oracle Data Cloud reviews. | 90% (Based on 10 reviews) |
Marketing Operations
ROI Tracking | Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs | Not enough data | |
Data Collection | Gathers data about the effectiveness, impact, and reach of marketing campaigns | Not enough data | |
Customer Insights | Collects and reports on data relating to customer journeys, preferences, and history | Not enough data | |
Multi-User Access | Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results | Not enough data | |
Spend Management | Includes features for budgeting, forecasting, and managing marketing investments | Not enough data | |
White Label | Offers a white labeling service for agencies or resellers to customize platform branding | Not enough data |
Campaign Activity
Campaign Insights | Analyzes historical and current marketing campaigns to inform future strategy | Not enough data | |
Reports and Dashboards | Creates reports and dashboards to analyze results of campaigns | Not enough data | |
Campaign Stickiness | Identifies which marketing campaigns resolved in open or closed opportunities | Not enough data | |
Multichannel Tracking | Collects marketing campaign performance data across multiple channels | Not enough data | |
Brand Optimization | Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback | Not enough data | |
Predictive Analytics | Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization | Not enough data |
