Increasingly, large enterprises are recognizing the value of an enterprise data warehouse (EDW) in their information and knowledge strategies. The potential benefits include cost-effective consolidation of data for a single view of the business and creation of a powerful platform for everything from predictive analysis to near real-time strategic and tactical decision support throughout the organization.
Too often, a company's struggles with designing and implementing a logical data model (LDM) are the source of the problem. The LDM is of vital importance, largely because other key components of enterprise data management rely on it. It is especially disturbing that the frustrations around LDM implementations are often preventable, having more to do with people, process and organizational concerns than with the technology itself. If companies can better understand what is tripping them up when they create and implement LDMs, they will realize the full potential of their data warehousing projects much more quickly.
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