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Ratings and Reviews 0 Ratings
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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 MIOvantage?
Achieve a thorough comprehension of your data using a variety of techniques. Although automatic profiling provides a basic overview, advanced features are designed to serve both technical experts and business stakeholders, allowing for a deeper investigation. By integrating automation, pattern recognition, and statistical approaches, you can gain the essential insights needed for well-informed decisions. A diverse selection of rule-building tools allows for effective management of data quality across multiple levels. You can evaluate conventional metrics like validity, completeness, consistency, accuracy, and timeliness while also integrating customized metrics tailored to unique requirements. High-level data quality is maintained through scenario-based rules that produce relevant and context-aware outcomes. Addressing data quality challenges and refining data leads to more substantial insights, as automated correction functionalities handle most tasks with reliable and traceable decision-making processes. Furthermore, issue resolution and workflow management support human-driven enhancement efforts. In conclusion, this all-encompassing strategy enables the creation of a more precise and detailed data representation, utilizing methods ranging from entity resolution to sophisticated deduplication and householding, thus significantly deepening your understanding of the data landscape. Ultimately, this enriched perspective can pave the way for more strategic initiatives and better overall outcomes.
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
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
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
MIOsoft
Date Founded
1998
Company Location
United States
Company Website
www.miosoft.com/products/miovantage/index.html
Categories and Features
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge