Enterprises create data cathedrals with an enforced dogma to control data purity, causing much information to be outside its walls where informal information bazaars thrive. These information bazaars have suspect quality, uncertain provenance, yet are responsive to users’ needs. Metcalf's law suggests that the benefit gained from integrated information grows geometrically1 with the number of data communities that are integrated. How can we balance the dogma of the data cathedrals and the spontaneity of the information bazaar?
Why do we have the conflict between the database cathedral and the information bazaars?
Can we resolve these conflicting objectives?
So how can these conflicting objectives be redeemed?
1 If I have 10 database systems running my business that are entirely disconnected, then the benefits are 10 * K, some constant. If I integrate these databases in pairs (operations + accounting, accounting + payroll, etc), then the benefits increase to 10 * K * 2. If I integrate in threes, (operations + accounting + maintenance, accounting + payroll + receiving, etc), then the benefits increase four-fold (a corollary of Metcalf's law) to 10 * K * 4. For quad-wise integration my benefits would be 10 * K * 8 and so on. Now it might not be 8 fold but the point is there is a geometric, not linear, growth in benefits as I integrate all of my information across my organization.