Appen Features
What are the features of Appen?
Data Governance
- User Access Management
- Dynamic Data Masking
- Data Lineage
Data Preparation
- Search
- Data Quality and Cleansing
- Data Transformation
- Data Modeling
Collaboration
- Commenting
- Profiling and Classification
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Data Governance
User Access Management | Based on 11 Appen reviews. Allows administrators to assign role-based user access for specific data sets | 83% (Based on 11 reviews) | |
Dynamic Data Masking | Hides and masks sensitive data automatically based on user permissions 10 reviewers of Appen have provided feedback on this feature. | 83% (Based on 10 reviews) | |
Data Lineage | Based on 10 Appen reviews. Provides historical insights into original data sources and transformations made to data sets | 78% (Based on 10 reviews) |
Data Preparation
Search | As reported in 11 Appen reviews. Offers simple search capabilities to discover specific data sets | 82% (Based on 11 reviews) | |
Data Quality and Cleansing | Allows users and administrators to easily clean data to maintain quality and integrity 11 reviewers of Appen have provided feedback on this feature. | 82% (Based on 11 reviews) | |
Data Transformation | Based on 10 Appen reviews. Converts data formats of source data into the format required for the reporting system without mistakes | 77% (Based on 10 reviews) | |
Data Modeling | As reported in 10 Appen reviews. Tools to (re)structure data in a manner that allows extracting insights quickly and accurately | 82% (Based on 10 reviews) |
Collaboration
Commenting | Allows users to comment on data sets to help future users better interact and interpret the data 10 reviewers of Appen have provided feedback on this feature. | 82% (Based on 10 reviews) | |
Profiling and Classification | Permits profiling of data sets for increased organization, both by users and machine learning 11 reviewers of Appen have provided feedback on this feature. | 82% (Based on 11 reviews) | |
Business and Data Glossary | Creates a business glossary for faster understanding by the average business user | Not enough data | |
Metadata Management | Indexes metadata descriptions for easier searching and enhanced insights | Not enough data |
Artificial Intelligence
Machine Learning Recommendations | Automates recommendations for users based on machine learning functionality | Not enough data | |
Natural Language Query | Offers natural language querying functionality for non-technical users | Not enough data | |
Automatic Data Cleansing | Cleans data to improve quality via automation | Not enough data |
Quality
Labeler Quality | Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more. | Not enough data | |
Task Quality | Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more. | Not enough data | |
Data Quality | Ensures the data is of a high quality as compared to benchmark. | Not enough data | |
Human-in-the-Loop | Gives user the ability to review and edit labels. | Not enough data |
Automation
Machine Learning Pre-Labeling | Uses models to predict the correct label for a given input (image, video, audio, text, etc.). | Not enough data | |
Automatic Routing of Labeling | Automatically route input to the optimal labeler or labeling service based on predicted speed and cost. | Not enough data |
Image Annotation
Image Segmentation | Has the ability to place imaginary boxes or polygons around objects or pixels in an image. | Not enough data | |
Object Detection | has the ability to detect objects within images. | Not enough data | |
Object Tracking | Track unique object IDs across multiple video frames | Not enough data | |
Data Types | Supports a range of different types of images (satelite, thermal cameras, etc.) | Not enough data |
Natural Language Annotation
Named Entity Recognition | Gives user the ability to extract entities from text (such as locations and names). | Not enough data | |
Sentiment Detection | Gives user the ability to tag text based on its sentiment. | Not enough data | |
OCR | Gives user the ability to label and verify text data in an image. | Not enough data |
Speech Annotation
Transcription | Allows the user to transcribe audio. | Not enough data | |
Emotion Recognition | Gives user the ability to label emotions in recorded audio. | Not enough data |
