One of these pieces will address the area of regulation and compliance*
I want to talk to companies that can provide concrete examples of how their clients have used technology to comply with regulations. And as a part of this piece I'm interested in compiling a short list of tips on how financial services companies can use technology to keep costs down while ensuring full compliance with all regulations.
The second article will look at Big Data*
Big Data has been the subject of immense hype. I want to hear how the financial services sector has made real use of data analytics in its day to day business. The software behind data analysis can be very difficult to explain to a non-technical reader. So I need clear examples of named institutions that are making Big Data work in a way the readers of this report can understand.
My deadline for all interviews is Wednesday 21 January.
Technology is playing an ever bigger role in regulatory compliance among financial services (FS) firms due to its complexity and scope. This article will highlight the increasing demands on firms for compliance, the huge increase in costs in doing so and demonstrate how banks which have the technological infrastructure to comply with regulations are in a much better position than those who are not being proactive. The article should also encourage FS firms to see regulation as a way of helping making the business case for upgrading IT systems and an opportunity to innovate rather than solely as a burden on resources.
*Implementing Big Data
Big Data has been a buzzword for businesses over the last couple of years and it is no different in the financial services sector. With no physical products to manufacture, data is the FS firms most important asset. By using data analytics effectively they can improve their ability to anticipate changing market conditions and quickly seize market opportunities. This article will explore data analytics specifically from an FS sector perspective, the way in which these companies should be looking to implement big data strategies and some of the challenges of doing so effectively.