Wednesday Feb 19, 2014

Time to Re-Model? A Look at Enterprise Modeling Platforms and R Usage in Banking

The open source R statistical platform has grown to be an enormously popular statistical modeling platform for Enterprise Risk, Financial Fraud and other Financial Services use cases, and for good reasons.  However, the R platform is only an element of an overall enterprise analytics platform.  Join Sunil as he shares with us his thoughts on why banks should expect a fresh approach to solving their enterprise analytics challenges.
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Wednesday Nov 20, 2013

Managing Enterprise GRC and Big Data: Risk vs. Reward

As discussed in Matthew Long's previous blog post, effectively managing risk is a big challenge for financial institutions. Two of these factors are big data and risk vs. reward and, in this post, Lovell Mathews, Oracle Software Development Senior Manager, discusses the second approach and how it can benefit the governance, risk and compliance process.
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Friday Nov 08, 2013

Big GRC: Turning Data into Actionable GRC Intelligence

Effectively managing risk is a big challenge for financial institutions, the manifold aspects of which can affect the best way to approach it.  Two of these factors are big data and risk/reward and, in this post, Matthew Long, Financial Crime Specialist, discusses the first approach and how it can benefit the governance, risk & compliance process.
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Wednesday Aug 28, 2013

Drive Business Growth by Unlocking Rich Customer Insights Using Big Data Within Financial Services

Customer InsightToday’s financial services organizations covet customer insight and understanding like never before. It represents the key to growth and profitability in an industry increasingly saddled with a more stringent, if not more uncertain, regulatory environment, as well as diminished product differentiation and more limited fee-based revenue opportunities.  Join Oracle’s Kiran Jagannath as he discusses the importance of Customer Insight.  

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Wednesday Jun 05, 2013

Use Cases For Unlocking Big Data’s Potential In Financial Services: 3 Steps to Success

bigdata financial services The FS sector is one of the most data-driven industries, and analysts estimate that somewhere between 80 and 90% of the data that exists within a bank’s datacentre is not analysed – data from call logs, weblogs, emails and documents.
Join Ambreesh as he discusses big data and what financial services institutions are doing to capture and analyze this data.

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Thursday Jan 31, 2013

The Future is Sooner and Stranger Than You Think

big dataHow are financial institutions dealing with the growth of big data within their businesses ? Join Ambreesh as he talks about his experiences with clients on this front and how he is working with them to merge traditional data with the new data to be able to solve problems like Fraud, Customer Analytics, Relationship Pricing, Real-time offers and Enhanced Risk Management.
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