What’s the cost of bad data and
Plenty. Data transformation errors are one of the
most dangerous, worst-case scenarios in the enterprise information age. It is a
twofold problem. Without human intervention, transformation errors affect millions of records in mere seconds.
They are sometimes nearly invisible, delaying
discovery until the problem becomes even more difficult to correct.
The cost for data transformation errors is
multifaceted and always understated. Often the estimated cost for data errors is
off by entire scales of magnitude. The traditional $1-$10-$100 rule, which is
frequently quoted, is inadequate and diverts attention from the real impact to
There is the direct operational impact
that hampers business decisions and customer interaction. There is the cost for
immediate and near-term repairs. Sales and customer service are impacted. There
may be serious market share implications which will drive marketing costs. And
when you cannot trust your data, the integrity and longevity of the system is
compromised resulting in higher long-term costs as systems are prematurely
replaced or overhauled.