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What is Syniti Data Matching?

Elevate your business connectivity and drive growth while harnessing state-of-the-art technologies at scale with Syniti’s sophisticated data matching solutions. No matter the format or source of your data, our advanced matching software expertly identifies duplicates, integrates, and standardizes data using intelligent, proprietary algorithms. By redefining conventional data quality methods, Syniti’s solutions enable organizations to embrace a data-centric approach. Transitioning to SAP S/4HANA allows for an impressive 90% boost in data harmonization speed and a remarkable 75% reduction in time dedicated to de-duplication efforts. In just 5 minutes, you can achieve deduplication, matching, and lookup on billions of records, thanks to our high-performance processing capabilities that do not require pre-cleaned data. Our incorporation of AI, unique algorithms, and extensive customization significantly enhances matching across complex datasets while minimizing false positives. This groundbreaking strategy not only optimizes your operations but also strategically positions your organization for sustained growth in an increasingly data-driven environment. As businesses continue to evolve, adopting such innovative solutions can unlock new avenues for success.

What is DQE One?

In our current digital age, customer information can be found everywhere, from mobile devices and social media to IoT gadgets, CRM systems, ERP tools, and various marketing strategies. While organizations gather an enormous amount of data, much of it tends to be underused, incomplete, or inaccurate, which can hinder operational efficiency and threaten potential growth. To avoid disruptions, it is crucial that customer data acts as an integrated component linking all aspects of business operations. Ensuring the reliability and accessibility of this information for all stakeholders at any given moment is paramount. The DQE One solution is designed to support all departments that depend on customer data, enhancing the quality of information and building trust in the decision-making process. As contact information accumulates from various sources within corporate databases, issues may arise, such as data entry errors, incorrect contact details, and missing information. Therefore, it becomes essential to consistently validate and maintain the customer database throughout its lifecycle, converting it into a trustworthy asset. By emphasizing data quality, businesses can not only enhance their operational efficiency but also open doors to new opportunities for growth and innovation that were previously unexplored. Ultimately, the commitment to high-quality data management can significantly influence a company's long-term success.

Media

Media

Integrations Supported

ASG Data Intelligence
Accenture Cloud Retail Execution
CGI Advantage ERP
Capgemini Intelligent Automation Platform
Cognizant
DXC Cloud
Deloitte Cascade Suite
Genpact Cora
HCL Accelerate
IBM Cloud
Infor Birst
Infosys BPM
LMS Planner
NTT Cloud Communications
SAP Cloud Platform
SAP S/4HANA
Wipro Cloud Studio

Integrations Supported

ASG Data Intelligence
Accenture Cloud Retail Execution
CGI Advantage ERP
Capgemini Intelligent Automation Platform
Cognizant
DXC Cloud
Deloitte Cascade Suite
Genpact Cora
HCL Accelerate
IBM Cloud
Infor Birst
Infosys BPM
LMS Planner
NTT Cloud Communications
SAP Cloud Platform
SAP S/4HANA
Wipro Cloud Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Syniti

Company Location

United States

Company Website

www.syniti.com/solutions/data-matching/

Company Facts

Organization Name

DQE

Date Founded

2008

Company Location

United Kingdom

Company Website

dqe.tech/en/dqe-one/

Categories and Features

Data Quality

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

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