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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
API Access
Has API
Integrations
Apache Parquet
Azure Marketplace
Cisco Webex
Google Drive
Google Sheets
JSON
Microsoft 365
Microsoft Excel
Microsoft Teams
Pocus
Integrations
Apache Parquet
Azure Marketplace
Cisco Webex
Google Drive
Google Sheets
JSON
Microsoft 365
Microsoft Excel
Microsoft Teams
Pocus
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$30
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation