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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.
Description
The core of our matching software, matchit®, is intentionally crafted to achieve outcomes that emulate human perception on a large scale, all while eliminating the need for preprocessing. By leveraging Artificial Intelligence, a unique phonetic algorithm, specialized lexicons, and a contextual scoring engine, matchit effectively addresses the common errors, inconsistencies, and hurdles associated with contact and business data management. Traditional matching systems typically require users to establish matching criteria, which consist of various functions and standard fuzzy algorithms to generate an alphanumeric match key. This match key is essential for comparing two records and ultimately identifying matches. In contrast to these conventional methods, matchit goes beyond a mere single comparison of match keys; it assesses records in a contextual manner, performing multiple comparisons and individually scoring them to evaluate the similarity across all pertinent elements of your data. This comprehensive approach not only enhances accuracy but also significantly improves the overall matching process.
API Access
Has API
API Access
Has API
Integrations
Alteryx
Apache Parquet
Apache Spark
Google Sheets
Hadoop
JSON
Microsoft Excel
Polaris
SQL Server
pandas
Integrations
Alteryx
Apache Parquet
Apache Spark
Google Sheets
Hadoop
JSON
Microsoft Excel
Polaris
SQL Server
pandas
Pricing Details
$30
Free Trial
Free Version
Pricing Details
No price information available.
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
Sliq
Country
United States
Website
sliqdata.com
Vendor Details
Company Name
360Science
Founded
2016
Country
United States
Website
www.360science.com/data-quality-solutions/the-matching-engine/
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
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