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Portfolio Analytics Data As A Competitive Differentiator

We have heard many times in the new economy that ‘DATA is the new oil’.

However, it is not the raw data, but this raw data converted to ‘information’ is the new untapped asset.

For financial firms, bringing all data into a ‘cloud’ warehouse in a way that users can slice and dice is very important.

Key data sets include not only positions, reference data & market data but also ‘standard’ and ‘custom’ performance and risk analytics.

One such custom risk analytics can be the use of firms proprietary models to calculate spread or other analytics say for OTC instruments.

Some of the key usage for above data include – Portfolio optimization & construction, hedging, reporting and BI analysis.

The ‘custom’ portfolio analytics data set is proprietary and is one of the many ‘secret sauces’ of the firm that can help provide deep insights when combined with the firm’s larger data set.

Providing access to this data to end clients/partners using API can further provide ways to integrate external apps, thus adding value to the firms ‘data platform’ – a key competitive differentiator in the new ‘data’ economy.

 

 

 

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