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Data Quality Channel

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Companies often cannot rely on the information that serves as the very foundation of their primary business applications. Inaccurate or inconsistent data can hinder your company's ability to understand its current - and future - business problems. This leads to poor decisions that can cause a host of negative results, including lost profits, operational delays, customer dissatisfaction and much more.

An effective data quality strategy can help you better understand your business environment, allowing you to maximize profitability and reduce costly operational inefficiencies.

Data quality technology allows companies to analyze, improve and control enterprise data, providing the infrastructure to enable data governance by transforming raw data into consistent, accurate and reliable corporate information. The building blocks of enterprise data quality methodology are:

Data Profiling - Inspect data for errors, inconsistencies, redundancies and incomplete information
Data Quality - Correct, standardize and verify data
Data Integration - Match, merge or link data from a variety of disparate sources
Data Enrichment- Enhance data using information from internal and external data sources
Data Monitoring - Check and control data integrity over time

This resource channel is brought to you by DataFlux and DM Review. As leaders in the industry, DataFlux and DM Review continually provide this Web site with continually updated, accurate and targeted information.

Articles

Structuring Unstructured Data to Support Business Intelligence

The foundation of any successful BI project rests on accurate, clean data.

Building a Foundation for Data Quality Success

Businesses need quality data that provides complete and actionable insight.

The Value of Enterprise Data Management and Data Quality

The ability to effectively manage a company’s financial and operational data is quickly becoming a measurable component of profitability.

Essential Vitamins for Master Data Management

MDM alone will not resolve the data-related issues. Essential vitamins for MDM are critical to succeed in the MDM journey, and are considered as part of the MDM initiative. This article discusses why we need essential vitamins to succeed in the MDM journey.