Exceptional Data Quality using Intelligent Matching and Retrieval

world of enterprise software, and that in turn is driving the need for more effective data-quality solutions. These drivers include business acceptance of the software-as-a-service (SaaS) model, wide adoption of the web as a platform, collapse of enterprise application silos, aggregation of data from disparate internal and external sources, the agile mindset, and the economic conditions driving agility. SaaS is a software deployment model in which the provider licenses applications for use as service on demand, most often accessed through a browser. In 2007 SaaS clearly gained momentum, with the sector having three billion dollars in revenue; by 2013 revenue could reach 50 percent of all application software revenues (Ernst and Dunham 2006). Customer benefits from SaaS deployments include much quicker and easier implementations, relatively painless upgrades, global access through the browser, lower total cost of ownership, and software vendors sharing more of the risk (Friar et al. 2007). Related to SaaS is another significant shift, the move from proprietary platforms to the web as a platform. Again the user benefits because of less vendor lock-in, open standards, well documented and broadly accepted standards, and long-term commitment by the software industry as a whole. These all contribute to higher quality solutions across the industry as well as accelerated innovation and more choice and flexible solutions available to the user. Articles