A recent study comparing financial differences between men and women found that, overall, women are better at managing money and debt. Differences between the two populations include:

By: Joel Pruis Times are definitely different in the banking world today.  Regulations, competition from other areas, specialized lenders, different lending methods resulting in the competitive landscape we have today.  One area that is significantly different today, and for the better, is the availability of data.  Data from our core accounting systems, data from our loan origination systems, data from the credit bureaus for consumer and for business.  You name it, there is likely a data source that at least touches on the area if not provides full coverage. But what are we doing with all this data?  How are we using it to improve our business model in the banking environment?  Does it even factor into the equation when we are making tactical or strategic decisions affecting our business? Unfortunately, I see too often where business decisions are being made based upon anecdotal evidence and not considering the actual data.  Let’s take, for example, Major League Baseball.   How much statistics have been gathered on baseball?  I remember as a boy keeping the stats while attending a Detroit Tigers game, writing down the line up, what happened when each player was up to bat, strikes, balls, hits, outs, etc.  A lot of stats but were they the right stats?  How did these stats correlate to whether the team won or lost, does the performance in one game translate into predictable performance of an entire season for a player or a team?  Obviously one game does not determine an entire season but how often do we reference a single event as the basis for a strategic decision?  How often do we make decisions based upon traditional methods without questioning why?  Do we even reference traditional stats when making strategic decisions?  Or do we make decisions based upon other factors as the scouts of the Oakland A’s were doing in the movie Moneyball? In one scene of the Movie, Billy Beane, general manager of the A’s, is asking his team of scouts to define the problem they are trying to solve.  The responses are all very subjective in nature and only correlate to how to replace “talented” players that were lost due to contract negotiations, etc.  Nowhere in this scene do any of the scouts provide any true stats for who they want to pursue to replace the players they just lost.  Everything that the scouts are talking about relates to singular assessments of traits that have not been demonstrated to correlate to a team making the playoffs let alone win a single game.  The scouts with all of their experience focus on the player’s swing, ability to throw, running speed, etc.  At one point the scouts even talk about the appearance of the player’s girlfriends! But what if we changed how we looked at the sport of baseball?  What if we modified the stats used to compile a team; determine how much to pay for an individual player? The movie Moneyball highlights this assessment of the conventional stats and their impact or correlation to a team actually winning games and more importantly the overall regular season.  Bill James is given the credit in the movie for developing the methodology ultimately used by the Oakland A’s in the movie.  This methodology is also referred to as Sabermetrics. In another scene, Peter Brand, explains how baseball is stuck in the old style of thinking.  The traditional perspective is to buy ‘players’.  In viewing baseball as buying players, the traditional baseball industry has created a model/profile of what is a successful or valuable player.  Buy the right talent and then hopefully the team will win.  Instead, Brand changes the buy from players to buying wins.  Buying wins which require buying runs, in other words, buy enough average runs per game and you should outscore your opponent and win enough games to win your conference.  But why does that mean we would have to change the way that we look at the individual players?  Doesn’t a high batting average have some correlation to the number of runs scored?  Don’t RBI’s (runs batted in) have some level of correlation to runs?  I’m sure there is some correlation but as you start to look at the entire team or development of the line up for any give game, do these stats/metrics have the best correlation to lead to greater predictability of a win or more specifically the predictability of a winning season? Similarly, regardless of how we as bankers have made strategic decisions in the past, it is clear that we have to first figure out what it is exactly we are trying to solve, what we are trying to accomplish.  We have the buzz words, the traditional responses, the non-specific high level descriptions that ultimately leave us with no specific direction.  Ultimately it allows us to just continue the business as usual approach and hope for the best. In the next few upcoming blogs, we will continue to use the movie Moneyball as the back drop for how we need to stir things up, identify exactly what it is we are trying to solve and figure out how to best approach the solution.

By: Matt Sifferlen Ah, fraudulent behavior is currently enjoying a bright shiny moment in the sun in today's pop culture, particularly in the world of sports. Whether it's a college athlete being duped for months by telephone conversations with a non-existent girlfriend, or the world's best known cyclist coming clean on a lifetime of deceit, in both cases we're left shaking our heads and laughing, crying, or cringing while telling ourselves "I'm glad I'm too smart to fall for any of this." But are you just kidding yourself? In the case of the college football player, most of us have been scratching our heads wondering how any adult could possibly get strung along for such an extended period of time by such a scam.  But if you take a closer look at the interaction between the athlete and the fraudster, you'll see that the fraudster deployed some typical tactics that allowed him to keep the scam living and breathing.  In particular, he continuously kept communicating with the athlete via phone and social media, reinforcing the perception that he's aboveboard and genuinely interested in the athlete's life.  We see this in commercial fraud interactions too, where the commercial fraudster will perform expected, normal tasks and activities (e.g. making small payments on loans, placing phone calls to lender support staff) that will reinforce the lender's perception that the fraudster is just another normal client.  But unlike the athlete's scenario where the fraudster's story unraveled due to no logical conclusion being planned, commercial fraudsters will string lenders along until they get what they want -- then they vanish.  Lenders can't get too complacent in their fraud prevention efforts, assuming that the mere presence of normal account activity equates to a validation of a client's authenticity.  To complicate things, while electronic communication methods like text messages, emails, and Twitter or Facebook messages offer many convenience advantages, they are ripe for manipulation by fraudsters who certainly find these methods preferable to any awkward face to face encounters with someone they're victimizing. The cyclist that admitted to a lifetime of lies also shines the light on some other tactics that commercial fraudsters might use -- using perceived image and reputation to deceive. Fraudsters will often steal identities of licensed professionals (think physicians, dentists) with favorable credit profiles and use their information to apply for commercial credit or services, knowing that they will likely be viewed favorably due to their impressive profiles, at least on paper. In today's world where lightly staffed underwriting teams struggle to keep up with their workloads, it's easy to see why this tactic can help increase the odds that an application might escape closer scrutiny.  After all, it's a doctor's office so what could possibly go wrong?  A lot, if you're approving someone who really isn't the doctor! An objective evaluation and screening process where underwriting and analyst staff consistently verify all applicant data and not just cherry pick the ones that look suspicious on paper can go a long way towards avoiding this typical trap set by commercial fraudsters. And in the final scenario of art imitating life, there is the recent release of a major motion picture comedy about identify theft.  I'm sure anyone who has been a victim of identity theft won't find hilarity in the scenes of the victim's life getting turned upside down, suddenly unable to use his credit cards at the gas station and being asked about transactions that took place somewhere else in the country that he's never visited.  But undoubtedly many folks will find this humor hilarious because we probably know of some horror story that a friend or acquaintance has shared with us that is similar to one of the wacky scenarios covered in this movie.  So we'll laugh and take comfort in the fact that we're too smart to get scammed like this, but if the FTC is stating that identity theft will affect 1 in 6 people each year then we're fooling ourselves in thinking that our number won't be up at some point soon. So what can be learned from these high profile pop culture events?  I think a couple things.  First, know your customers (or athletes, heroes, girlfriends).  It sounds simple, but make sure they are who they say they are.  Whether you're lending to a business or a consumer, there are tools out there that can enable you to objectively screen your applicants and minimize any bias that might get exploited by fraudsters in a manual review heavy process.  If you're not cautious and get burnt, you might not have to go on Oprah or Dr. Phil to explain to your management team where things went horribly wrong, but  the level of financial and reputational damage inflicted could be a painful lesson for you and your institution.  Or if you're really (un)lucky, maybe they'll make a movie about your story -- wouldn't that be hilarious? (sarcasm intended)

The purpose of any type of insurance is to protect your most valuable assets. To combat the prevalence of cyber attacks and data breaches, an increasing number of businesses in the health-care, financial services and technology industries have purchased cyber insurance policies to protect themselves from the crippling cost of a data breach.  This is especially popular among start-up tech companies in Silicon Valley in order to safeguard their intellectual property (IP) since their IP is the backbone of their livelihood1.  Since small businesses generally don’t have a risk manager and IT department dedicated to data security, a good cyber insurance policy can help mitigate cyber security risks. Although accepted in some sectors, cyber insurance is still not an established part of many companies’ IT data security strategies.  This is commonly due to a lack of agreed risk management standards and the challenge of substantiating and quantifying losses, in addition to finding objective data to back up cyber insurance claims.  Some security experts feel that the federal government needs to kick start growth in this market by requiring government contractors to purchase cyber insurance to set a standard for other businesses, sending a message that any company who has cyber security insurance is a signal that the company is competently managing its data security. As the cyber insurance industry evolves, here is a list of what the policies generally cover and what to look for: First-party claims – Costs incurred by the loss of trade secrets and intellectual property. Third-party claims – Damages a business must pay to customers who sue them for lost or compromised personal information. Business interruption coverage – In the event a data breach incident prevents the company from operating or functioning, the company would receive payment reimbursement for expenses incurred due to loss of business. A forensic IT investigation – Policies can cover the cost of an examination into how the data breach occurred and some may even cover the costs of regulatory fines and penalties in addition to the crisis management control which includes data breach notification letters. Security professionals stress that cyber insurance is not meant to be a substitute for data protection and security policies.  In fact, before underwriting a policy, an insurance company will be hyper vigilant in determining that their customers have proper protections and policies in place since the insurance company will want to reduce its own risk. And since insurance has been a positive influence on other industries to improve performance and safety due to risk mitigation, the theory is if a company has cyber insurance, the hope is they will implement proper preventative measures to ensure that they will never have to use it. Learn more about our Data Breach solutions  1http://www3.cfo.com/article/2013/4/data-security_cyber-attacks-cybersecurity-liability-insurance-smb-growth-companies-risk-hogan-lovells

Financial institutions are revisiting their policies and thresholds for lending to small businesses and are slowly loosening restrictions. In a recent survey by the Federal Reserve Board, 9.2 percent of senior loan officers said they have "somewhat" eased their standards for lending to small firms and provided commercial borrowers more leeway, in the form of slightly bigger credit lines and longer maturity terms.

By: Maria Moynihan Cybersecurity, identity management and fraud are common and prevalent challenges across both the public sector and private sector.  Industries as diverse as credit card issuers, retail banking, telecom service providers and eCommerce merchants are faced with fraud threats ranging from first party fraud, commercial fraud to identity theft. If you think that the problem isn't as bad as it seems, the statistics speak for themselves: Fraud accounts for 19% of the $600 billion to $800 billion in waste in the U.S. healthcare system annually Medical identity theft makes up about 3% of 8.3 million overall victims of identity theft In 2011, there were 431 million adult victims of cybercrime in 24 countries In fiscal year 2012, the IRS’ specialized identity theft unit saw a 78% spike from last year in the number of ID theft cases submitted The public sector can easily apply the same best practices found in the private sector for ID verification, fraud detection and risk mitigation. Here are four sure fire ways to get ahead of the problem:   Implement a risk-based authentication process in citizen enrollment and account management programs Include the right depth and breadth of data through public and private sources to best identity proof businesses or citizens Offer real-time identity verification while ensuring security and privacy of information Provide a Knowledge Based Authentication (KBA) software solution that asks applicants approved random questions based on “out-of-wallet” data What fraud protection tactics has your organization implemented? See what industry experts suggest as best practices for fraud protection and stay tuned as I share more on this topic in future posts. You can view past Public Sector blog posts here.

Providing more evidence of a housing recovery, Q1 2013 mortgage originations increased 16 percent year over year to $471 billion. The Midwest region delivered the strongest annual gain, with a 29 percent increase over the previous year.

A recent survey that polled Americans on credit scores found that while nearly half of respondents (49 percent) check their credit scores at least once per year, the rest check once every two years or less, including a worrisome 22 percent who never check. The most common reasons for checking a credit score include purchasing a home (31 percent) or an automobile (32 percent).

VantageScore Solutions’ analysts recently examined how many accounts consumers with prime credit scores typically have in their credit file. Consumers who generally qualify for loans have an average of 13 loans in their credit files, and typically the oldest loan is more than 15 years old.

By: Lloyd Parker Another Experian Vision Conference comes to a close today but not without a full morning of breakout sessions with compelling speakers and experts sharing real-world strategies for real opportunity and real growth.  The conference concluded with an entertaining and thought-provoking speaker, Sir Ken Robinson, Ph.D., author of The Element: How Finding Your Passion Changes Everything and Out of our Minds: Learning to Be Creative, who shared with us ideas on how to cultivate innovation and change within organizations in order to grow with their environments and continue to thrive. We’d like to thank you for making this year’s event one of the best.  And thank you for the confidence you give us all year round.  We know the great responsibility that goes along with that and we are committed to helping your business succeed. Top Tweets of the Week #Vision2013 the slowest growing loan segment (actually it is negative) is HELOC @cumagazine@dougbenzine at -8% YOY.#engage — Mike Horrocks (@mikehorrocks) May 8, 2013 #vision2013 great credit union discussion at experian conference! — Doug Benzine (@DougBenzine) May 8, 2013 #Vision2013 @sirkenrobinson (1) we are living in a time of revolution (2) we have to think differently about talents (3) then act different — Mike Horrocks (@mikehorrocks) May 8, 2013 'Most adults don't know what their true aptitudes are' Sir Ken Robinson #vision2013 — Michele Raneri (@MLRaneri) May 8, 2013 #Vision2013 @sirkenrobinson Our kids are not trains, they are rockets ready to explore and we need to help them only light the fuse. #engage — Mike Horrocks (@mikehorrocks) May 8, 2013

By: Lloyd Parker James W. Paulsen, Ph.D., Chief Investment Strategist at Wells Capital Management kicked off day two at the Experian Vision 2013 Conference with an upbeat economic outlook for 2013 and what it means longer term, for the next generation. Paulsen is nationally recognized for his views on the economy and publishes his own commentary assessing economic and market trends through his newsletter, Economic and Market Perspective. Today he demonstrated to conference attendees how the United States is in a “gear” year and that the “new normal” has been going on for the past 25 years.  His optimism predicts that for the next 10 years we’ll see an estimated 3% GDP growth.  As mentioned by some on Twitter, “he makes statistics fun.” The morning was followed by more insightful breakout sessions and the launch of a new session format called, “Viewpoints” – fast paced, quick-hitting sessions that highlight new innovations, forward-thinking solutions and product demonstrations designed to satisfy the attendee’s desire to learn more. Networking activities filled the afternoon, and at the time of post the winners of the golf tournament had not yet been announced. Other highlights from the day Viewpoint: The art of portfolio analysis Maintaining a strong commercial portfolio starts with knowledge. In this session, new concepts are introduced and old concepts were questioned as we shared validated intelligence on which commercial triggers are best suited for effective portfolio management. Viewpoint: A 900% return on small-business marketing Here proven approaches were reviewed for targeting existing small-business customers and prospects for deposits and loans using available firmographic data, business credit scores and response models. Viewpoint: Transaction data signals – challenges and opportunities Experian’s R&D Data Lab shared team insights into how underutilized transaction data might be leveraged as well as how to overcome some of the technical and business challenges that arise. Viewpoint: Find time and money in your credit authorization process Attendees learned how to improve decision making and productivity by bringing together multiple sources of credit authorization information in Baker Hill Advisor®. Viewpoint: Commercial fraud – An ounce of prevention is worth a pound of cure Protecting personal identities is commonplace for most businesses. Commercial fraud may not be a primary concern, but one “rare” occurrence could mean a big loss to profits and reputation.  Attendees learned how BizID can prevent fraud in business portfolios and help ensure that appropriate preventive measures are taken. Viewpoint: SaaS for intelligent customer decisioning – separating the hype from the reality A stroll down memory lane highlighted the hype and reality of technology over the last several decades and looked at the realities we face that make this space so difficult to predict.  Attendees looked at criteria to help them decipher what’s working, what they can do about it and the critical points to focus on when looking at SaaS solutions. Top tweets: "USA is in a GEAR Year" expects 3% growth this year. #vision2013 #finserv — Patricia Hines (@PJHines) May 7, 2013 #Vision2013 @aitegroup 32% of mobile users think mobile is secure & 55% think it is somewhat secure. Banks need to #engage mobile banking. — Mike Horrocks (@mikehorrocks) May 7, 2013 @experianvision "Growth may surpass expectations this year. Confidence is being upwardly adjusted." Dr. James W. Paulsen. #vision2013 — Martha Staten (@Sauconyandsuds) May 7, 2013

By: Maria Moynihan Reduced budgets, quickly evolving technologies, a weakened economy and resource constraints are clearly impacting the Public Sector, but it’s not all doom and gloom. Always with new challenges, come new opportunities. Government agencies must still effectively run programs, optimize processes and find growth in revenue streams.   Below you will find the top 5 business challenges facing the Public Sector and municipal utilities today and ways to overcome them: 1.  Difficulty finding debtors When asked to name the top challenge to their debt collection processes, governments most often indicate the difficulty in locating debtors whose whereabouts don’t in fact match information they have on hand. Skip tracing with right party contact data is key to finding people or businesses for collections and there are several cost effective ways to do this - either through industry leading tools or by tapping into available sources like voter registration information. 2.  Difficulty in prioritizing debt collection efforts When resources are limited, it is critical to not only focus efforts by size, but by likelihood to make contact and access debtors with an ability to pay.  Credit and demographic data elements like income, assets, past payment behavior, and age can all be brought together to better identify areas of greater ROI over others. 3.  Lack of data available By simply incorporating third-party data and analytics into an established infrastructure, agencies can immediately gain improved insight for efficient decision making. Leverage on-hand data sources to improve understandings of individuals or businesses. 4.  Difficulty of incorporating tools to improve debt recovery Governments too often attempt to reduce backlogs by simply trying to accelerate processes that are suboptimal to start with. This is both expensive and unlikely to produce the desired result. In the case of debt collection, success is driven by the tools and processes that allow for refined monitoring, segmentation and prioritization of accounts for improved decisioning. 5.  Difficulty in determining to outsource or continue to internally collect While outsourcing to debt collection agencies is always an option, it may not be the most resourceful one, or in some cases, even necessary.  Cost to value considerations per effort need to be made by agencies and often, the most effective strategy is to perform minimal efforts internally and to outsource older or skip accounts to third party agencies. What is your agency’s biggest business challenge? See what industry experts suggest as best practices for Public Sector collections or download Experian’s guide to Maximizing Revenue Potential in the Public Sector to learn more.

By: Lloyd Parker There aren’t many things that energize me more than seeing our clients arrive for the Experian Vision 2013 Conference.  Industry leaders from all over the world have joined us in Southern California to kick-off a full day of insightful topics.  This year’s event sold out in record time and we have many first time attendees taking advantage of the opportunities to network and learn from industry peers. Today began with a welcome from Steve Wagner, President of Consumer Information Services followed by Victor Nichols, Chief Executive Officer, Experian North America and myself, Lloyd Parker, Group President Credit Services.  We launched our key theme of Real Strategies, Real Growth, Real Opportunities, discussing the concept of “reality checks.” Reality check #1: Micro-targeting is required Identify market differences Understand your customer segments Adapt to specific needs of your empowered consumers Reality check #2: Managing risk   Protect against risks that follow success Keep your door open for good business Focus on operational efficiencies Reality check #3: Optimizing engagement Utilize all the data of each customer Understand all of your customer touch points Manage customer strategies holistically A key theme of the day was the economic, regulatory and political changes impacting our economy and your customers. We had a conversation with Timothy F. Geithner, 75th U.S. Secretary of the Treasury, who shared his experiences as the principal architect of the President’s strategy to avert economic collapse and to reform the financial system.  He also discussed international economic challenges and gave us his personal outlook on the economy. The afternoon featured many great speakers and industry experts across many topics that included hearing from many of our regulators on the topic of banking regulations; experts in the area of mobile payments and banking; along with many of our clients who shared their successful programs and experiences working across consumer and commercial portfolios and the customer lifecycle. Other highlights from the day Things overheard at the Roundtable Sessions: “You don’t need extensive touches for small loans, but let go of Excel,” Community bank topics “Loans are milk, deposits are steak,” Issues and opportunities within commercial risk management roles topic “Pent up demand will lead to overall positive auto market conditions near term,” Automotive hot topics “Keeping various systems in synch; Spend time early on implementation to define biz requirements,” Overcoming system operation challenges topic “Marketing to the underserved remains a challenge,” Issues and opportunities in consumer risk management roles topic “Using mobile to go paperless in commercial lending to improve convenience,” Mobile tools for business lending topic Top tweets: #vision2013 "Be relentlessly skeptical. Be humble about what you don't know." Former Secretary Timothy Geithner. — Martha Staten (@Sauconyandsuds) May 6, 2013 Experian CEO to Us bankers on current reg environment. "we have to get in compliance. We have to grow in compliance".#vision2013 — eric haller (@erichaller2) May 6, 2013 Great description of the current environment - "Economic Pinball" Victor Nichols #vision2013 #finserv — Patricia Hines (@PJHines) May 6, 2013 #vision2013.@experiancredit data lab is the "most unique initiative in the industry". The lab lets you #engage w/ untraditional data. — Mike Horrocks (@mikehorrocks) May 6, 2013 Only take risks you can understand, measure, and monitor. CRO round table. #vision2013 — alissa (@adh314) May 6, 2013 The phone is the new wallet. Apps are the new cards. #engage #vision2013 — Andrew Beddoes (@beddoesa712) May 6, 2013  

A recent analysis by Experian Automotive found that, overall, consumers purchasing a hybrid have significantly higher credit scores than those purchasing another type of new vehicle. The average credit score for a loan on a new hybrid was 790, compared with the national average credit score of 755 for a loan on any new vehicle.

While VantageScore® credit score super-prime consumers carried the lowest average credit card balance of all credit tiers in Q4 2012 ($2,581), this group experienced the greatest average balance increase (6 percent) when compared with the previous quarter. All other credit tiers had little or no change to their average credit card balance.