Integrated Risk

Moneyball

Can banks use data analysis to play ‘Moneyball’?

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Wednesday, May 23rd, 2012

The movie Moneyball was an entertaining reminder of how difficult it can be for tradition-bound organizations to effectively leverage their vast information resources. Billy Beane showed that big data’s promise is there for you and for your competition – who will go for the prize?

All Integrated Risk Stories

Turning a cost center into a money generator

By Waynette Tubbs, Editor | Published: May 17, 2012
Stuart Rose

Claims is arguably the most important of all insurance business processes.To a significant extent, claims recovery represents an unrealized opportunity for insurers, but opportunities for claims recovery are often obscured by the sheer volume of claims data available. Claims recovery analytics provides a win-win for the customer and the insurer.

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Risk management: A business strategy perspective

By Renzo Traversini, Director Business Development at SAS | Published: May 16, 2012
Integrated Role of Risk Solutions

Renzo Avesani, Risk Management Director at Unipol Gruppo Finanziario, says that the view of a risk management department that is solely used for risk measurement is not only out-dated but dangerous. To manage risk and compete in today’s risky environment, Avesani says Unipol has integrated risk management into the business strategy. Read Unipol’s methodology for success.

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Innovation and creativity make the most of risk management solutions

By Anna Brown, Editor | Published: May 8, 2012
High-performance analytics

The challenge to accomplishing something big – really big – is often getting the right people on board from the beginning. Tham Ming Soong, former United Overseas Bank CRO, talks with SAS CEO Jim Goodnight about UOB’s success with big data and high-performance analytics.

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Modernizing financial risk management

By Waynette Tubbs, Editor | Published: May 8, 2012
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Financial institutions now need to execute risk management decisions in a more timely manner.This GARP Webcast – presented by SAS – will examine the new technology paradigms that are enabling more timely financial risk management practices.

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Ratemaking made faster

By Anna Brown, Editor | Published: April 12, 2012
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Insurers increasingly rely on high-performance analytics to predict future behavior and determine product pricing, as it processes the growing volumes of data faster than traditional approaches. Read more in this article.

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Advanced modelling for imbalanced credit scoring data sets

By Iain Brown, Analytics Specialist, SAS | Published: April 11, 2012
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Meet Iain Brown in Orlando when he presents “An experimental comparison of classification techniques for imbalanced credit scoring data sets using SAS® Enterprise Miner™,” at SAS Global Forum.

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Claims recovery optimization

By Stuart Rose, Global Insurance, SAS | Published: March 21, 2012
Stuart Rose

The primary benefit of an improved claims recovery process is the impact to your bottom line, but a truly great secondary benefit is the positive affect on customer satisfaction. Read Stuart Rose’s post about optimizing your claims recovery process.

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High-performance analytics takes on big data

By Waynette Tubbs, Editor | Published: March 19, 2012
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What do you get when you combine big data with high-performance analytics? Big ideas that lead to big changes. In short, a seismic revolution that’s changing the way the world works.

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Banking on big data – Part II

By Waynette Tubbs, Editor | Published: March 14, 2012
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Using high-performance analytics, banks can turn their big data into pertinent new business insights that guide faster, better decisions. Here are some examples of how key banks are acheiving results by pairing advanced analytics with turbocharged technology – high-performance analytics.

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Managing big data at the speed of risk

By Waynette Tubbs, Editor | Published: March 13, 2012
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Olivia Rud, respected BI thought leader and author, spoke at the IFSUG Summit about the speed of technological changes and the volume and complexity of data that industry practitioners are now dealing with. Predictive analytics was the tool of choice when desktop computing was state-of-the-art and is still cutting edge now that big data from mobile and social threatens organizations.

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  • Attending the ACFE Fraud Conference and Exhibition?

    Plan to attend Increasing Investigator Efficiencies

    When: Wed., June 30, 8:30-9:50a.m.
    Where: Orlando, FL
    Featuring: David Stewart and Dan Barta from SAS’ Fraud and Financial Crimes Practice.

    Organized fraud is a growing problem, in large part because it is so hard to detect. In this session, we will show customer examples of how Entity Link analysis improves investigator efficiency by reducing the time spent investigating false-positive alerts and prioritizing events before presenting to investigators. Investigators can now work many times the number of cases and focus on higher-value networks.

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