While data warehousing technologies and methodologies have evolved over the years, ideologies, in many cases, have not. Taking a narrow-minded approach to your data warehousing strategy can be like trying to drive with your parking brake on.One of the biggest mistakes project teams make is in refusing to acknowledge the need for training. This is just one of the ways companies undermine their own efforts to take data warehousing to its full potential.

When faced with an unfamiliar task we generally use our previous experience as a point of reference to determine how we should react. Likewise, when people built their first data warehouse, they often modeled it after their familiar transaction processing systems. They built what they knew and were comfortable with instead of using the new paradigm offered by data warehousing.

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