As business intelligence and data warehousing applications become increasingly important to organizations, quality considerations have come to the fore alongside. While many traditional testing strategiesand techniques can be applied to data testing, there are a few pitfalls on the road to testing a successful implementation of a business intelligence solution. By avoiding some of these major hazards, solutions can be delivered sooner, more cost effectively and with better end user acceptance.

This presentation helps identify the numerous challenges inherent in the data world and provides solutions. The range of topics will include discussion around testing environments, automated and manual testing strategies, risk mitigation, and end user engagement in the testing process.