Metric Engine Step-Up: A Swimming Pool Example

A couple of years ago a friend was continuing to try to help Risk and Finance effectively coordinate their use of data, and asked me how would I get started on helping them. I noted that the fundamental problem in some instances is the imprecision of our language. We use a single term which actually refers to different things to different people. Solving this problem … Continue reading Metric Engine Step-Up: A Swimming Pool Example

Balances in Financial Services Sectors

This week’s episode focuses on the data required three major financial services sectors, Financial Markets, Banking, and Insurance, focusing on the need for various balances, and length of time in perspectives. Financial Markets–effective any traded financial asset–typically has the highest turnover in data, and perhaps the lowest need for balances of various types.  Trades may be made and sold frequently; transactions may not be accumulated … Continue reading Balances in Financial Services Sectors

Movement vs. Balances: A Conversation with Tata Rao

Today’s episode is the second in a three part series of conversations with Tata Rao, at the time Lead Architect of a Global Financial Services Financial System Platform, covering data volume explosion in a consolidated data supply chain, and the storage and compute trade-offs for movements vs. balances. Tata begins by discussing how data volumes grow through the Instrument Ledger processes (to understand an Instrument … Continue reading Movement vs. Balances: A Conversation with Tata Rao

Consider the Punch Card

Today’s banking and financial systems were by and large automated in the 1970s and early 1980; the process began in the late 1950 and through the 1960s.  I find it helpful to reduce the problem of what the systems do down to the most basic elements in considering the financial patterns involved. And what might be the most basic element?  In many respects, to state … Continue reading Consider the Punch Card