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Description
Match Data Pro is a sophisticated tool for managing data quality that aims to integrate, cleanse, analyze, match, eliminate duplicates, and consolidate records from various files, databases, and systems with remarkable efficiency and accuracy. It features cutting-edge AI-enabled fuzzy matching and adjustable rule-based logic to identify duplicates and inconsistencies within extensive datasets, assisting users in correcting errors, standardizing formats, and generating trustworthy golden records without the need for coding expertise. The tool also offers extensive data profiling with essential metrics to identify quality concerns prior to processing, robust data cleansing functionalities for normalizing and standardizing information, along with address verification features that enhance accuracy. Furthermore, Match Data Pro is equipped with Senzing AI entity resolution and customizable matching algorithms to accommodate minor data variations, ensuring high-performance processing capable of scaling up to millions of records. Additionally, it facilitates project job automation through scheduling, reusable rules, and seamless API integrations, making it a comprehensive solution for effective data management.
Description
DataWise is a specialized solution designed specifically for the modernization of SAP data. It effectively connects SAP systems, whether ECC or S/4HANA, with the Databricks Lakehouse, facilitating the conversion of isolated operational data into a reliable and analytics-ready platform that supports real-time decision-making and fosters AI advancements.
By utilizing SAP-native connectors and offering prebuilt models for various modules such as SD, MM, PM, Finance, Ariba, and SuccessFactors, DataWise significantly enhances value. It employs automated ELT pipelines to transfer data into Delta Lake, while its MatchX AI-driven data quality engine ensures data cleansing, standardization, deduplication, and entity matching, thereby improving data accuracy and completeness on a large scale. Comprehensive governance is maintained throughout the process via Unity Catalog, which implements fine-grained access controls and tracks data lineage.
After the data has been standardized and governed, DataWise enables seamless activation of your SAP data across business intelligence dashboards, machine learning functionalities, and event-driven workflows, all without interfering with your core ERP operations. This innovative approach not only streamlines data accessibility but also empowers organizations to leverage their SAP data for enhanced insights and decision-making.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Azure Databricks
No
Data Lakes on AWS
No
Databricks
No
Dropbox
Yes
Dropbox Paper
Yes
Google Chrome
Yes
Google Drive
Yes
JSON
Yes
Microsoft OneDrive
Yes
Microsoft Teams
Yes
Integrations
Azure Databricks
Yes
Data Lakes on AWS
Yes
Databricks
Yes
Dropbox
No
Dropbox Paper
No
Google Chrome
No
Google Drive
No
JSON
No
Microsoft OneDrive
No
Microsoft Teams
No
Pricing Details
$27 per month
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Match Data Pro
Founded
2023
Country
United States
Website
matchdatapro.com
Vendor Details
Company Name
VE3 Global
Website
www.ve3.global/datawise/
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No