About the guide
The unprecedented volume of data, understanding new consumer behaviours, the increase in international competition and the drive towards corporate transparency are driving conversations within organizations on how to manage its data assets. While high-end technology adoption is part of the strategy to derive value from these resources, initiatives to enforce data quality must be considered when exploring data potential in business development. Challenges such as unstandardized, misplaced, incorrect, or inconsistent data can lead to many efficiency problems and may even invalidate business opportunities. According to Gartner, poor data quality has been found to be responsible for organizations losing an average of $15 million per year.
The unprecedented volume of data, understanding new consumer behaviors, the increase in international competition, and the drive towards corporate transparency are driving conversations within organizations on how to manage their data assets. While high-end technology adoption is part of the strategy to derive value from these resources, initiatives to enforce data quality must be considered when exploring data potential in business development.
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