Data Quality challenges still figure as one of the top risks to the ROI of any Analytics program. Many good IT programs in the past as well as present have failed to get intended ROI, user adaptability due to inability to effectively manage this challenge. Advancement in Analytics adoption remains still a distant dream for the companies majorly due to data quality issues. One of the global survey talks about 65% of the respondents citing Data Quality as one of the impediments in implementing the Analytics in their organization.
One of the common problems organizations face is duplicate entries in various master entities like Customer, Vendor, Addresses etc. NLP Based high performance Identity Resolver/De-Duplicator Engine has built in business rules around de-duplication of names, address and other master entities to enable good quality data analysis. These rules can be enhanced/modified with little effort to suit your organization needs.