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Phil DW-BI News -
October 2002 Issue:
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For many CIOs today, the quality of data in their information systems presents a pressing and unmanageable problem. Poor data quality is pervasive -- data entry errors, null or missing values, ambiguous entries, and duplicate data are commonly found in most information systems. It is no wonder that most organizations do not know how or even where to start addressing their data quality issues. The problem is significant for most CIOs, but it is particularly urgent for organizations that are converting / migrating data to new systems, integrating data from multiple systems or multiple companies (i.e., post-mergers), or exposing their operational data to customers via the Internet. The
problem is also politically
sensitive since most organizations
place the burden of responsibility
for data quality squarely on the
IT or IS Department, despite the
fact that most data-entry is
performed within the business
units, by customers (on web-based
systems), or by third parties
(e.g., outsourced call centers). |
In this month's issue, we explore the causes of poor data quality, and present tactics for eliminating or reducing these causes. We also describe tactics for identifying and repairing poor quality data. Download
the PDF: Data
Quality: Practical Techniques for
a Strategic Problem (PDF 271
kb) Future
issues of Phil DW-BI News will
examine these data improvement
tactics in more detail by delving
into specific implementation
considerations. |
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