Facilitating the transformation process from data to information to knowledge is a paramount issue for every organisation. Many companies are being flooded with data and volumes of conflicting information, but with limited real usable knowledge. Statisticians focus on accuracy; operation researchers target optimisation; intelligent machine learners advocate black box solutions; database administrators emphasise completeness, to name a few. However, rarely should a process be looked at from limited angles or in parts. Current isolated islands of data mining, data modelling, and data management (DMMM) should be connected; an integrated and systematic union of DMMM is long overdue; the synergy of DMMM is strong enough; a single one-stop shop is much needed by the community.
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