Introduction

In iWay 7, the iWay Data Quality Suite delivers a unified toolset for profiling, cleansing, and enriching information.

With the iWay Data Quality Suite, organizations can better control transactional and analytical applications, enhance system migration or software integration projects, improve customer identification processes, validate inputs in self-service and other online applications, and much more by:

The following diagram illustrates a high level overview of the iWay Data Quality Suite.

Easy to implement and packed with rich functionality, the iWay Data Quality Suite leverages modern platforms and code optimization techniques to minimize initial investment and total cost of ownership.

Components of the iWay Data Quality Suite

The following table lists and describes the iWay components that are included with the iWay Data Quality Suite.

Component

For More Information

iWay Data Quality Server

See iWay Data Quality Server.

iWay Data Profiler

See iWay Data Profiler.

Remediation Portal

See Remediation Portal.

Component	For More Information
iWay Data Quality Server	See iWay Data Quality Server.
iWay Data Profiler	See iWay Data Profiler.
Remediation Portal	See Remediation Portal.

Data Profiling

The first step in any data quality initiative, data profiling enables users to assess and understand data through basic analysis. Additionally, the profiling capabilities of the iWay Data Quality Suite include pre-built metrics and customizable business rules for monitoring data, developing distributable reports, and performing offline analytics in batch or real time. The iWay Data Quality Suite can generate advanced, built-in, in-depth reports and profiling information that provide efficient and accurate tracking and comparisons of data quality improvements over time.

Data Quality Management

This state-of-the-art solution is designed to optimize information integrity throughout its lifecycle. It leverages comprehensive, fully customizable business rules and a portfolio of localized dictionaries, as well as advanced unification, validation, cleansing, and enriching techniques, to not only identify and correct bad data, but to proactively prevent it from entering the environment in the first place.

Serving as the main hub for data quality within an organization, this vital component of the iWay Data Quality Suite delivers centralized management of business rules, information integrity, and data flows, while providing a single point of integration and management for data from external master data systems and other sources.

Remediation and Data Stewardship

A web-based foundation for data governance, the Remediation Portal allows business users and data stewards to correct and resolve data quality issues quickly and efficiently. Notifications can be sent to mobile devices when human intervention is required. With ease of access for business users, data quality issues can be monitored, managed, resolved, and tracked in real time, with an end-to-end audit trail of all changes. Remediation processes can be customized, and optionally allow remediation edits to be reincorporated back to the source or destination.

Specifically, the Remediation Portal allows users to:

Gain multi-domain data governance with domain authorization.
Track and resolve data quality issues in batch and real time.
View history of data changes.
Research source master data issues.
Automate mobile-based notifications.
Collaborate on issues that require additional research and resolution.

Data Cleansing

Corrupt, invalid, or incorrect data can be cleansed by:

Parsing data into pattern-based components.
Standardizing formats and abbreviations with language-specific replacements.
Practicing data quality validation against rules and reference tables.
Accessing a large number of domain-oriented algorithms for addresses, parties, vehicles, names, identification numbers, credit card numbers, and bank account numbers.
Easily extending custom validation steps using complex functions and rules such as Levenshtein distance, SoundEx, and internal Java-based functions.

Data Enriching

Any information from any source can be enhanced and enriched by:

Leveraging external company registers.
Incorporating geocodes for identified address map locations and geomarking for insurance risk.
Adding missing zip codes, street names, and more to complete address records.
Including names, surnames, and academic or social titles for more holistic contact details.