There was a very thought-provoking article by Martin Wolf in the
Financial Times newspaper for March 11th. 2016 entitled
"Good news � fintech could disrupt finance�.

It states �Banking is currently inefficient, costly and riddled with conflicts of interest�.
It identifies three possible sources of disruption :
1.Payments Transformation, with one possibility being real-time settlements via
   distributed ledgers.

2.Peer-to-peer Lending, in which new platforms disintermediate the traditional
  businesses in matching savers with investments.

3.Big Data � �this might transform the quality of lending, which would be a good
  thing. But the most striking effects are likely to be felt in insurance. With new
  monitoring devices, insurers might gain direct knowledge of the quality of driving or
  of the state of the clients� health�.
Our new Banking Data Platform reflects this article.

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The Specifications for this Platform have been derived from an excellent and very thought-provoking article by Martin Wolf
in the Financial Times newspaper for March 11th. 2016 entitled "Good news � fintech could disrupt finance�.

It states �Banking is currently inefficient, costly and riddled with conflicts of interest�.

The Conceptual Banking Platform Data Model
Conceptual KPI Channel Count.	Logical KPI Channel Count.
Basic Conceptual Dimension Model showing 5 Dimensions of Channel, Customer, Date, Geography and Product	Logical Dimension Model showing the same 5 Dimensions of Channel, Customer, Date, Geography and Product
The Conceptual Banking Data Warehouse Model	The Logical Banking Data Warehouse Model
Conceptual version of Our Canonical Data Model	Our Participants ERwin Canonical Data Model This is a little different from the Conceptual version

May 21st. 2017
Database Answers Ltd.
London, England