Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Aware converts digital conversation data from platforms such as Slack, Teams, and Zoom into immediate insights that reveal potential risks and enhance organizational intelligence on a large scale. These digital interactions permeate every aspect of your organization; modern teamwork relies heavily on real-time collaboration, making the social connections among employees one of the fastest-growing data sources in your business. This unstructured data features its own unique language and emotional undertones, with genuine and spontaneous messages often consisting of five words or fewer. Users frequently communicate using emojis, abbreviations, and multimedia elements across various private, direct, and public channels on multiple collaboration platforms. Conventional technology struggles to grasp the context and subtleties inherent in this dataset and its distinctive behaviors. By interpreting this complex information, Aware identifies hidden, costly risks and uncovers insights that can drive innovation and enhance business value. Ultimately, Aware delivers contextual intelligence tailored to your organization’s needs, facilitating growth at scale while ensuring that no valuable insight goes unnoticed.
Description
Sliq is an innovative platform powered by artificial intelligence that swiftly cleans up disorganized raw datasets, making them ready for analysis within minutes by automatically identifying and resolving prevalent quality concerns such as format discrepancies, absent values, schema variations, and formatting mistakes. This efficiency allows analysts and engineers to minimize time spent on tedious maintenance tasks and focus more on deriving insights and building models. By utilizing context-sensitive intelligence, Sliq comprehends the semantic context of the uploaded datasets—whether they pertain to finance, e-commerce, or healthcare—and devises a customized cleaning strategy tailored specifically for each dataset instead of relying on generic solutions. Users have the flexibility to either upload files directly or connect programmatically with existing workflows, and Sliq is compatible with popular data formats like CSV, JSON, and Parquet, ensuring smooth integration into current data environments. Additionally, this platform enhances productivity by streamlining the data preparation process, allowing teams to drive more impactful decision-making through improved data quality.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Parquet
No
Azure Marketplace
Yes
Cisco Webex
Yes
Google Drive
Yes
Google Sheets
No
JSON
No
Microsoft 365
Yes
Microsoft Excel
No
Microsoft Teams
Yes
Pocus
Yes
Integrations
Apache Parquet
Yes
Azure Marketplace
No
Cisco Webex
No
Google Drive
No
Google Sheets
Yes
JSON
Yes
Microsoft 365
No
Microsoft Excel
Yes
Microsoft Teams
No
Pocus
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$30
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aware
Country
United States
Website
www.awarehq.com
Vendor Details
Company Name
Sliq
Country
United States
Website
sliqdata.com
Product Features
Risk Management
Alerts/Notifications
No
Auditing
No
Business Process Control
No
Compliance Management
No
Corrective Actions (CAPA)
No
Dashboard
No
Exceptions Management
No
IT Risk Management
No
Internal Controls Management
No
Legal Risk Management
No
Mobile Access
No
Operational Risk Management
No
Predictive Analytics
No
Reputation Risk Management
No
Response Management
No
Risk Assessment
No
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No