March 26, 2013
Trusted information is a critical success factor for any decision-making
process that employs data warehousing, business
intelligence, or business analytics. There is a growing trend today
for scaling up data acquisition, intake, and analysis; there are ever
more numerous ways of reusing and repurposing data; and there is
a continued hubbub focused on big data and its intersection with
high-performance analytics. It is important to remember that the
benefits of these activities have always relied, and will continue
to rely, on the quality of the data as ensured by end-to-end
information management and oversight.
In this TDWI Checklist Report, we look at key tasks and activities
that bolster the organization’s level of trust in information. We
span the life cycle of data quality assurance, focusing on clearly
articulating the business value proposition and engaging the
business data consumers, then standardizing best practices and
automating their implementation.
Employing standard methods
through the use of data discovery, data validation, cleansing, and
reporting tools provides a collaborative environment for auditable
inspection, monitoring, and communication of adherence to the
enterprisewide expectations for trusted information. Download the Checklist Report to learn how.