iWay's Data Quality Management Solutions

Today's integration strategies require much more than just the unification of diverse information assets. Not only do disparate applications, databases, systems, messages, and documents need to be seamlessly brought together, the information and content contained within them must also be accurate, consistent, and complete at all times.

The need to more effectively monitor and control data quality has become increasingly important as information architectures have become larger, more diverse, and more complex. Additionally, companies must maintain the integrity of their data as it passes through more touchpoints during generation, processing, and management.

iWay Software offers powerful real-time and online data quality tools that allow companies to optimize their enterprise information by facilitating broad-reaching data quality management. With iWay, organizations can achieve and maintain true data integrity across all information assets by:

Profiling and analyzing data to assess its quality
Dynamically cleansing data based on pre-defined business rules
Enriching information with content obtained from external sources
Merging and matching information across multiple data sets to promote consistency

iWay's data quality management features are powerful and flexible, enabling users to validate and handle data quality in many ways, including online as users are interacting with information or in real-time as it is being generated during the course of transactions and events. This type of real-time data quality management allows companies to proactively keep bad data out of their environment. Additionally, data quality can be managed in-batch at pre-defined intervals, to effectively eliminate pre-existing errors and inaccuracies.

Key Features:

Profiling

Users can perform detailed, in-depth analysis of existing information to precisely assess its quality and immediately identify and correct any issues that may negatively impact its accuracy.

Cleansing

Restrictions, constraints, and other business rules and criteria for data quality can be defined and implemented, then dynamically applied to data values across the information landscape. Changes and modifications to existing data will then be automatically made based on those definitions to eliminate mistakes.

Enrichment

iWay solutions give companies the ability to extend and enhance corporate content. External and third-party sources can be dynamically searched for relevant information such as consumer demographics and geographic distributors. Existing data attributes can then be automatically appended to incorporate any appropriate new content found.

Merging and Matching

Users can automatically seek out and identify related entries within and across data sets, then instantly link, match, and merge associated information as needed to promote consistency throughout the business.

Support for Master Data Management

The creation and maintenance of master data is also supported, allowing companies who wish to create a centralized physical or virtual database of record to ensure the consistency and accuracy of the information contained within it.

iWay's data quality tools are part of the iWay Enterprise Information Management (EIM) suite, a robust, comprehensive solution that facilitates the real-time management of any information from anywhere across an entire enterprise. Regardless of where data resides, whether it's in structured or unstructured format, the iWay EIM suite can seamlessly integrate and enrich it, allowing for simple and efficient access, utilization, and maintenance.

For More Information

To learn more about the importance of data quality, and how solutions from iWay Software can help you effectively achieve enterprise-wide information integrity, visit our Data Quality Center.