|License:||Free to try|
|Op. System:||Windows 2000|
|Last updated:||3 Jul. 2012|
|File size:||30.46 MB|
Publisher description for DataMatch 2008
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 your databases and lists clean and free of duplicates, saving time and money for business professionals. Free Trial Available at http://www.dataladder.com/download.php [http://www.dataladder.com/download.php __title__ Free Trial Download] “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 exciting views on your matches, like a customer/marketing list cross reference report, adding in your own images, and more. Intuitive wizard sets data cleansing options based on 4 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 your 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.