With ease of use design changes, additional cleansing and reporting functionality, and best in class fast fuzzy matching algorithms, DataMatch 2012 brings the capabilities of strong data cleansing software to the desktop.
Cambridge, MA (PRWEB) April 21, 2012
Data Ladder LLC, a provider of simple and affordable data cleansing software, announces the release of DataMatch 2012. With ease of use design changes, advanced customizable reporting, additional cleansing functionality, and best in class fast fuzzy matching algorithms, DataMatch 2012 brings the capability of a strong data cleansing software to the desktop. DataMatch 2012 provides key capabilities to keep databases and lists clean and free of duplicates, help match up internal and external customer data, saving time and money for business professionals.
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“Inaccurate customer data costs businesses (over) $611 billion a year in postage, printing, and staff overhead. Frighteningly, the real cost of bad data is higher. Data problems can alienate customers, create revenue and cost leaks, undermine process efficiency, delay expensive projects, and expose an organization to compliance risks. In short, bad data can make it hard for the business to achieve its financial and strategic goals.”
-The Data Warehousing Institute (TDWI)
Key New Features:
Customizable reporting functionality for creating insightful views on matches, example: customer/marketing list cross reference report, adding in your own images, and more.
Intuitive wizard sets data cleansing options based on four questions, drastically reducing data cleansing setup time and confusion. Additionally Data Ladder’s world class customer support is available to walk every customer through their own data cleansing project.
A simplified user interface allowing visibility on how each data cleansing step has changed the data set, ability to undo changes, and the ability to save work as a project that can be reused and scheduled.
Visually appealing data profiling and match results reports that can be exported to Excel and PDF.
Improved proprietary matching algorithms providing best in class matching accuracy and speed.
Data Profiling: including automated field type identification and extraction (Address, First Name, etc.)
Multiple Match Definitions: Automatically identifies multiple match definitions within your data set. Examples: Simultaneously identify and group all records with matching emails, at the same time identify and group all records with similar person and street names in the same zip code.
Multiple deduplication options
Survivorship rules for defining what record or field should remain in the cleansed data set. Example: Keep all records in a matched group with the newest date, and merge all non null emails. Record level traceability of all changes.
Miscellaneous new features; column merge, regular expression builder, etc. With additional features and knowledgeable customer support, Data Ladder’s DataMatch 2012 provides a simple, world class data quality suite to the business user at an affordable price. For more information please visit http://www.DataLadder.com.
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