What is Syniti Data Quality?

Data has the capacity to revolutionize markets and expand capabilities, but this transformation can only occur when the data is both trustworthy and easy to understand. Our cloud-based solution, enhanced by AI and machine learning and built on 25 years of industry expertise and proven data quality assessments, enables your organization’s stakeholders to work together efficiently towards achieving data excellence.

Quickly identify and address data quality issues using integrated best practices along with numerous pre-configured reports. Prepare and cleanse your data before or during migration while continuously monitoring its quality through customizable intelligence dashboards. Ensure consistent oversight of data entities by automatically initiating remediation actions and directing them to the appropriate data custodians. Consolidate all information within a single cloud platform and utilize shared knowledge to enhance future data initiatives. By having all data stakeholders operate within one cohesive system, you can minimize effort and improve outcomes for every data project. This collaborative approach not only builds confidence in the data but also enables stakeholders to make timely and well-informed decisions more effectively. Ultimately, this leads to a more data-driven culture within the organization, paving the way for sustained growth and innovation.

Pricing

Free Trial Offered?:
Yes

Screenshots and Video

Syniti Data Quality Screenshot 1

Company Facts

Company Name:
Syniti
Date Founded:
1996
Company Location:
United States
Company Website:
www.syniti.com/solutions/data-quality/

Product Details

Deployment
SaaS
Windows
Training Options
Documentation Hub
Online Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Syniti Data Quality Categories and Features

Data Quality Software

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Cleansing Software

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