Overview
What is DataMatch Enterprise?
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.
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
11 people also want pricing
Alternatives Pricing
Product Details
- About
- Tech Details
What is DataMatch Enterprise?
DataMatch Enterprise Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Comparisons
Compare with
Reviews
Community Insights
- Business Problems Solved
- Recommendations
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.
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:
-
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.
-
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.
-
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.