iWay DQC provides the following
deployment, operational, and performance features.
Deployment. iWay
DQC is compatible with other platforms in the industry. Compatibility is
achieved by leveraging proven Java™ technologies. The product technology is
easy to integrate with an existing Information System/Information and
Communication Technologies (IS/ICT) infrastructure. It integrates with any
Enterprise Service Bus (ESB), Service-Oriented Architecture (SOA), or extract,
transform, load (ETL) tool, including iWay Service Manager, IBM WebSphere®,
Oracle WebLogic®, and SAP NetWeaver®.
Flexibility and open
standards. The iWay DQC solution is easily configured using supplied
administration applications. Operation does not require any external tools or
other third-party applications. iWay DQC is platform independent. It is based
on open standards (XML, Web services, and SOA). iWay DQC implements documented
conceptual data models that are portable across many existing database
platforms.
Core
functionality. The core system is composed of a set of algorithms capable
of hierarchical unification by identification keys, regardless of internal data
structure. By using the defined keys, iWay DQC can perform approximate matching
in record unification.
External reference
data sources. iWay DQC taps into external data sources, such as national
addresses or name registries, to retrieve reference data for parsing,
cleansing, and validation. iWay DQC also uses names, organizations, academic
titles, phone numbers, and other dictionaries of information to parse and
validate input data. You can extend this feature with your own custom lists.
Performance.
iWay DQC uses parallel data processing methods to ensure scalability and enable
incremental data processing, both in batch and on-demand online processing
modes. Online mode can perform the data quality process within less than 0.1
second. Batch mode can process more than 5,000,000 records in an hour. You can
embed iWay DQC into business-to-business (B2B), application-to-application
(A2A), portal, and extract, transform, load (ETL) processes for both online and
batch modes.