The Tool Puzzle

  Business Intelligence   Strategy  

It's been almost 10 years now since the dawn of the data warehousing era. Data warehousing is older than J2EE, embedded computing and wireless technologies. An outsider with little knowledge would expect this field to be a stable one where organizations reap the benefits of the data warehousing tools that have been deployed.

Numerous J2EE applications have been implemented, embedded controls exist in complex electronics and wireless technologies have become pervasive. However, data warehousing solutions and analytics seem to miss the mark. Like many large-scale ERP solutions, the annals of data warehousing history are replete with stories of disaster. And in those situations where the data warehouse has been deployed, it either falls short of expectations and lies dormant or is a stove-piped solution that does not deliver enterprise-wide value. Why is this? Here are five reasons why data warehousing solutions have not become as mature as expected, and what you need to do in order to make your data warehousing implementation successful.

Executive Excitement

Most business executives are not analytically driven creatures. While they should be, they are more focused on product-driven excitement or "the bottom line." How many times have you heard the CEO of Sony talk about its new data warehousing strategic advantage? Where executives have embraced the …

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