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The Flexible Approach to Data Quality

Information Quality Server (IQS) is specifically designed to handle evolving data-quality requirements. It provides a set of integrated tools, managed from a central console, that covers the full range of data quality steps in both batch-process and real-time mode. It works across multiple platforms on multiple operating systems. It handles unstructured data as well as multiple languages and character sets. And it easily scales to accommodate exploding data volumes.

IQS comprises five modules:

CORE MATCHING TECHNOLOGY searches, finds, matches and groups identity data accurately and quickly, regardless of structure, format, language, character set, location, duplication, omission or errors.

• The same world-class search and match technology used in the world’s leading law enforcement and intelligence community
• Transparently maintains its own high-performance index without impacting database efficiency
• Supports different application needs, from high-risk searches to high-volume, performance-critical searches

PARSING AND STANDARDIZATION parses input data into component pieces and, optionally, standardizes them.

• Corrects contradictory input from CRM, ERP and other source systems
• Solves the problem of inconsistent field names across different systems, such as “address,” “street address,” or “local address.”
• IDs can be standardized, converting suffixes to standard abbreviations, capitalization, etc.

ADDRESS STANDARDIZATION performs real-time Address Validation and Correction.

• Matches and corrects all address data, filters out superfluous information, assess deliverability and generates detailed reports
• Can be used in Interactive mode, Batch mode or FastCompletion Mode
• Supports address coverage in more than 240 countries

DATA PROFILING discovers the quality, characteristics and potential problems of source data before beginning data-driven projects.

• Provides analytical field value summaries, detection of nulls and distinct values and frequency analysis on values and patterns
• Drastically reduces the time and resources needed to find problem data
• Allows business analysts and data stewards to have more control on the maintenance and management of enterprise data

DATA CONSOLIDATION uses the data found during matching to combine all the duplicates into a single consolidated view of each entity.

• Includes manual review user interface for interactive merge as well as an administration user interface that sets up rules for auto merge
• Manual merge stores output in a SQL-accessible database table, allowing users to locate the “merge result” records after merging
• A merge API is also available to send in clusters as per predefined rules

Whether you need to batch-process structured data to populate a data warehouse or want to embed real-time data-quality services in operational systems, IQS has the flexibility to handle the job.