Business Intelligence Network - The Vision for BI and Beyond

AMB Introduces Two New Features

Published: June 30, 2008

AMB applies profiling techniques to numeric data in order to help identify data anomalies that skew the results of corporate data and compromises data quality.

AMB, a provider in the development and marketing of data profiling and cleansing tools, is introducing two new features unique to the industry that enhances its suite of data discovery and cleansing capabilities.

AMB-PDM’s new Outlier Discovery feature, applies profiling techniques to numeric data in order to help identify data anomalies that skew the results of corporate data and compromises data quality.

Along with AMB–PDM’s new Match Merge feature, their product suite will now provide corporations the ability to discover data issues related to reference, descriptive and numeric data. By utilizing AMB’s new Match Merge, fuzzy matching and other capabilities of the suite, users can now quickly identify where anomalies are being sourced and rapidly determine a valid remediation path.

Companies of all kinds stand to benefit from the ability to discover outlying data relating to, for example, over-and-under inventory stocking, identifying medical anomalies and quickly spotting and eliminating data points that are skewing the assumptions used in key fact-based decision-making.

“We believe our new technology will significantly accelerate the discovery of the golden record and improve the overall effectiveness of data discovery from a success rate of 65 - 75% to a more acceptable success rate of 85% - 95%. Now companies can understand their customers and their businesses the way they should, and comprehend their data for what it really is. Until now, these capabilities have been unattainable in short time frames and unaffordable. AMB-PDM offers these cost-efficient solutions that provide the capability to process millions of rows of data in a timely fashion.

"With Outlier Discovery and Match Merge, organizations can take control of the data they base their major business decisions on, ensuring that those decisions are based on accurate data instead of relying on flawed data that leads to flawed decisions,” states AMB-PDM President, Steven Meister.