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The webinar provided a use case on wealth managers responding to questions from clients on
portfolio performance.

Reviewing the performance of a portfolio is complex, given multiple investments, the buying and
selling of investments, and calculating returns based on investment changes and reinvested
dividends.

Without mainframe data virtualization, providing an accurate response to clients involved
accessing mainframe transactional data from multiple data stores, and then loading that data
through multiple steps into a data warehouse for processing to ultimately assess performance.

Most importantly, in this case, the client or customer experience is improved by delivering
instant insight into portfolio returns that enables the wealth manager to meet the demanding and
ever changing needs of clients.

The solution of mainframe data virtualization eliminates the need to move data and instead
enables the synthesizing of data at the point in which it is available, providing direct access to
line of business managers to answer customer requests instantaneously.

For IT organizations and business intelligence professionals, no programming is involved,
changes are not required of business intelligence tools, nor is the movement of data required.

This post originally appeared on Rocket Software, and is re-published with permission.

Link to original blog:

https://blog.rocketsoftware.com/2016/12/insight-realize-revenue-dont-wait-data-drive/

49 Cyber Warnings E-Magazine February 2017 Edition
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