Name: DataMatch Enterprise
Rating: 7 (1 reviews)
Author: Data Ladder

Help Desk

Web and Video Conferencing

Customer Support

AI Chatbot

Development

Attendance Tracking

Career Center

Education

Association Management

Business Intelligence (BI)

Case Management

Collaboration

File Sharing

File Sync

Objectives and Key Results (OKR)

Office Suites

Unified Communications as a Service (UCaaS)

Enterprise

Accounting

FinTech

Online Trading

SaaS Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Performance Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Asset Tokenization

Business Internet Service Providers (ISPs)

Cloud Storage

Container Management

Debugging

Disaster Recovery as a Service (DRaaS)

Dynamic Application Security Testing (DAST)

Fraud Detection

In-Memory Databases

Incident Response

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Intranet

Managed Private Cloud

Managed Security Service

Modular Storage Area Network (SAN)

Network Function Virtualization (NFV)

Network Performance Monitoring

Runtime Application Self-Protection

SSL Certificate

Secure Web Gateway

Threat Hunting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Marketing Automation

Personalization Engines

Product Management

Sales and Marketing Automation

Social Media Management

Survey & Forms Building

Technology Review

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Forecasting

Sales Pipeline

Sales

Microsegmentation

Security Information and Event Management (SIEM)

Security

Automotive

Building Information Modeling (BIM)

Catering

Law Practice Management

Legal Research

Tour Operator

Vertical-Specific

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Users of DataMatch Enterprise have provided valuable recommendations for organizations looking to match data across systems or identify duplicate data. The three most common recommendations are as follows:

1. Evaluate ease of use and effectiveness: Users suggest evaluating DataMatch Enterprise for its ease of use and effectiveness in matching data across systems. It is recommended to carefully assess how intuitive the software is and how well it delivers accurate results.

2. Utilize customer service and provide feedback: Reviewers praise the customer service provided by DataMatch Enterprise and encourage users to actively engage with the support team. Customers also recommend providing feedback for desired features, indicating that the company is responsive to user suggestions.

3. Watch training videos and be prepared for a learning curve: To make the most of DataMatch Enterprise, users highlight the importance of watching the training videos offered by the company. While acknowledging that there may be a learning curve associated with the software, users emphasize that investing time in understanding its functionalities is worthwhile for optimal utilization.

Overall, users highly recommend DataMatch Enterprise, commending its effectiveness in matching data and applauding the communicative and responsive client services. For organizations considering the product, it is suggested to take advantage of any trial period to request a tutorial on navigating the user interface. It is worth noting that some users believe that DataMatch Enterprise is especially suitable for very large databases rather than smaller ones.

DataMatch Enterprise (DME) is a powerful software tool used to solve various business problems for its users. One of the most common issues DME solves is the problem of duplicate contacts, as it can match multiple lists from different sources and identify already existing entities in databases. Users find this feature especially useful when dealing with large and complex datasets that would be impossible to manage manually. 

Another key use case for DME is to automate the standardization of customer records with different formats and turn them into a single master record. This helps achieve customer service goals in financial services and eliminate redundant data entry across various systems. Moreover, users have reported that DME also provides cost savings, increased efficiency, faster turnaround times, and better marketing ROI analysis because it can measure direct marketing campaign results and identify miss-attributed data points from clients, making it an invaluable tool for any organization that wants to optimize their database management processes.

DataMatch Enterprise, from Data Ladder headquartered in Cambridge, helps integrate, link, and prepare data from virtually any source, presented as a software toolkit for code-free profiling, cleansing, matching, and deduplication.

Dataloader.io delivers a cloud based solution to import and export information from Salesforce.

Professional

Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.

Team/Enterprise

Datameer

DataMatch Enterprise

Software for eliminating redundant data in databases and file servers.

Data Cleansing

Data Ladder

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DataMatch Enterprise

Overview

What is DataMatch Enterprise?