All posts by Guest Contributor

By: Maria Moynihan A recently-released staff report prepared for the House Oversight and Government Reform Committee revealed that nearly 17,000 efficiency and process improvement recommendations made by agency Inspectors General remain pending as of 2012 and in combination could have saved more than $67 billion in wasteful government spending. At the same time, the 2013 Identity Fraud Report released in February 2013 by Javelin Strategy & Research indicates that in 2012, identity fraud incidents increased by more than one million victims and fraudsters stole more than $21 billion, the highest amount since 2009. Fraudsters know where process inefficiencies lie and government agencies can no longer delay the implementation of much needed system improvements. There are several service providers and integrators in the public sector that offer options and tools to choose from.  Specifically, identity management tools exist that can authenticate a person’s identity online and in real-time, verify an address, validate one’s income and assets, and  provide a full view of a constituent so funds go to those who need them most and stay out of the hands of fraudsters or those who are otherwise not eligible. There is a better way to validate and authenticate individuals or businesses as part of a constituent review processes and time is of the essence. By simply incorporating third-party data and analytics into established infrastructure, agencies can immediately gain improved insight for efficient decision making. Experian recently sponsored the FCW Executive Briefing on Detecting and Preventing Wasteful and Improper Payments.  Click here to view the keynote presentation or stay tuned as I share more on this pressing issue.

By: Maria Moynihan State and Federal agencies are tasked with overseeing the integration of new Health Insurance Exchanges and with that responsibility, comes the effort of managing information updates, ensuring smooth data transfer, and implementing proper security measures. The migration process for HIEs is no simple undertaking, but with these three easy steps, agencies can plan for a smooth transition: Step 1:  Ensure all current contact information is accurate with the aid of a back-end cleansing tool.   Back-end tools clean and enhance existing address records and can help agencies to maintain the validity of records over time. Step 2:  Duplicate identification is a critical component of any successful database migration - by identifying and removing existing duplicate records, and preventing future creation of duplicates, constituents are prevented from opening multiple cases, thereby reducing the probability for fraud. Step 3:  Validate contact data as it is captured. This step is extremely important, especially as information gets captured across multiple touch points and portals. Contact record validation and authentication is a best practice for any database or system gateway. Agencies and those particularly responsible for the successful launches of HIEs are expected to leverage advanced technology, data and sophisticated tools to improve efficiencies, quality of care and patient safety. Without accurate, standard and verified contact information, none of that is possible. Access the full Health Insurance Exchange Toolkit by clicking here.

Last January, I published an article in the Credit Union Journal covering the trend among banks to return to portfolio growth. Over the year, the desire to return to portfolio growth and maximize customer relationships continues to be a strong focus, especially in mature credit markets, such as the US and Canada.  Let’s revisit this topic, and start to dive deeper into the challenges we’ve seen, explore the core fundamentals for setting customer lending limits, and share a few best practices for creating successful cross-sell lending strategies. Historically, credit unions and banks have driven portfolio growth with aggressive out-bound marketing offers designed to attract new customers and members through loan acquisitions. These offers were typically aligned to a particular product with no strategy alignment between multiple divisions within the organization.  Further, when existing customers submitted a new request for credit, they were treated the same as incoming new customers with no reference to the overall value of the existing relationship. Today, however, financial institutions are looking to create more value from existing customer relationships to drive sustained portfolio growth by increasing customer retention, loyalty and wallet share. Let’s consider this idea further. By identifying the needs of existing customers and matching them to individual credit risk and affordability, effective cross-sell strategies that link the needs of the individual to risk and affordability can ensure that portfolio growth can be achieved while simultaneously increasing customer satisfaction and promoting loyalty. The need to optimize customer touch-points and provide the best possible customer experience is paramount to future performance, as measured by market share and long-term customer profitability. By also responding rapidly to changing customer credit needs, you can further build trust, increase wallet share and profitably grow your loan portfolios.  In the simplest sense, the more of your products a customer uses, the less likely the customer is to leave you for the competition. With these objectives in mind, financial organizations are turning towards the practice of setting holistic, customer-level credit lending parameters. These parameters often referred to as umbrella, or customer lending, limits. The challenges Although the benefits for enhancing existing relationships are clear, there are a number of challenges that bear to mind some important questions: How do you balance the competing objectives of portfolio loan growth while managing future losses? How do you know how much your customer can afford? How do you ensure that customers have access to the products they need when they need them What is the appropriate communication method to position the offer? Few credit unions or banks have lending strategies that differentiate between new and existing customers.  In the most cases, new credit requests are processed identically for both customer groups. The problem with this approach is that it fails to capture and use the power of existing customer data, which will inevitably lead  to suboptimal decisions.  Similarly, financial institutions frequently provide inconsistent lending messages to their clients. The following scenarios can potentially arise when institutions fail to look across all relationships to support their core lending and collections processes: Customer is refused for additional credit on the facility of their choice, whilst simultaneously offered an increase in their credit line on another. Customer is extended credit on a new facility whilst being seriously delinquent on another. Customer receives marketing solicitation for three different products from the same institution, in the same week, through three different channels. Essentials for customer lending limits and successful cross-selling By evaluating existing customers on a periodic (monthly) basis, financial institutions can holistically assess the customer’s existing exposure, risk and affordability. By setting customer level lending limits in accordance with these parameters, core lending processes can be rendered more efficient, with superior results and enhanced customer satisfaction. This approach can be extended to consider a fast-track application process for existing relationships with high value, low risk customers. Traditionally, business processes have not identified loan applications from such individuals to provide preferential treatment. The core fundamentals of the approach necessary for the setting of holistic customer lending (umbrella) limits include: The accurate evaluation of credit and default rise The calculation of additional lending capacity and affordability Appropriate product offerings for cross-sell Operational deployment Follow my blog series over the next few months as we explore the core fundamentals for setting customer lending limits, and share a few best practices for creating successful cross-sell lending strategies.

In today’s data driven world, information is king. So if you are not armed with the same information as your competitor or worse, experience a data breach, an information imbalance can occur that puts you at a disadvantage. In the public sector, an information imbalance is also known as an “asymmetric threat” and can dramatically threaten a country’s national security.  The most famous recent example of an asymmetric threat experienced by the United States is 9/11.  The 9/11 Commission Report found that the U.S. government had enough intelligence to reveal Al-Qaeda’s plot but due to a deficient process that prevented information to be connected and shared properly between its intelligence and national security departments, the U.S. was unable to stop Al-Qaeda’s horrific acts of terrorism.  These findings prompted the U.S. government to change how it collects, processes and analyzes information resulting in technical and behavioral modifications especially regarding cybersecurity issues.  In addition, in order to address the problems of information imbalances, the U.S. military devised a policy called “Information Superiority,” defined by The Department of Defense (DoD) as “the ability to develop and use information while denying an adversary the same capability.”  Basically, having access to more information than your enemy and possessing the ability to use that information to your advantage. The goal of achieving Information Superiority is to gather intelligence that can then be used to execute in ways that will put you in an advantageous position. The public sector’s adoption of Information Superiority can be duplicated in the private sector especially as businesses recognize the competitive edge of gathering information on their competition. By using the concept of Information Superiority, companies can adopt methods of gathering information and sharing it with the right people at the right time to create a competitive advantage.  Employing Information Superiority policies similar to the ones used in the public sector can also help businesses achieve important goals such as increasing profits and reducing costs because when executives have  access to consumer data and other forms of intellectual property, they can make better informed fiscal decisions.  Information Superiority can also help businesses optimize risk and reduce the impact of cyber-threats.  By identifying where their most sensitive data resides, companies can design data protection and security systems to ward off cybersecurity threats. These are just some examples to illustrate how Information Superiority can benefit the private sector. The bottom line is companies that proactively collect and use information to ward off threats, will ultimately outperform their competitors. Learn more about our Data Breach solutions

All skip tracing data is the same, right? Not exactly. While there are many sources of consumer contact data available to debt collectors, the quality, freshness, depth and breadth can vary significantly. Just as importantly, what you ultimately do or don't do with the data depends on several factors such as: Whether or not the debt is worth your while to pursue How deep and fresh the data is What if no skip data is available, and, What happens if there is no new information available when you go to your skip-tracing vendor requesting new leads? So what's the best way for your company to locate debtors? What data sources are right for you? Check out my recent article in Collections and Credit Risk for some helpful advice, and be sure to check out our other debt collection industry blog posts for best practices, tips and tricks on ways to recover more debt, faster. What data sources do you find most beneficial to your business and why? Let us know by commenting below.

By: Maria Moynihan Fact:  In fiscal year 2011, the federal government allocated ~$608M to investigate and prosecute cases of alleged fraud in health care programs Fact:  Medicare and Medicaid related scams cost taxpayers more than $60B a year These statistics are profound, especially when so many truly need–and rightfully deserve–access to health benefits.  To make the facts a bit more tangible, how would you feel if you heard that neighbors of yours were submitting claims to Medicare for treatments that were never provided? In essence, you’ve got thieves for neighbors, don’t you? Thankfully, government agencies are responding. Even while being challenged with reduced budgets and limited resources; they are investing in efficient processes, advanced data, analytics and decisioning tools to improve their visibility into individuals at the point of application. By simply making adjustments to one or all of these areas, agencies can pinpoint whether or not individuals are who they say they are. Only with precision, relevancy, and efficiency of information, can fraud and abuse be curtailed. Below are a few examples of how to improve your eligibility systems or processes today. Or, simply download the Issue Brief, Beyond Traditional Eligibility Verification, for more detail. Use scores, models, and screening questions to assess a beneficiary’s true identity or level of identity fraud risk. Use income and asset estimation models to compare to stated income as a validation step in determination of benefits eligibility. Create a single system for automatic identification and verification of beneficiaries and businesses applying for service. Tighten controls around business identity to weed out fraud rings, syndicates and other forms of business fraud. The Bottom Line: Only with process, information, or system improvements, can government agencies move the needle on the growing and pressing issue of fraud and abuse.

By: Maria Moynihan Cyber Monday recently passed and I'm curious to know if you were one of the many who contributed to the $1.465 billion spend online that day?  ‘Tis the season - not only for increased online shopping, but for increased ID theft or risk of fraudulent activity. With a quick online search, you can find some good tips on how to protect your information.  Here’s a great read on password protection. Other sources offer added tips, like the below, when submitting information online: 1)  Ensure sensitive information is secure before submitting 2) Only access websites you know you can trust 3)  Be sure you are comfortable with the information your mobile device is asking you to provide in specific apps Beyond the holidays and even beyond the type of organization you are interacting with, these online tips apply. Government agencies for instance, encourage similar cautionary behavior when interacting with them. In fact, several have even implemented tools and processes to ensure the proper level of information security, authentication, and checking occur. Take the Social Security Administration for example. Here is an agency that implemented a secure process for individuals to access their benefits online. By incorporating a step to quickly and efficiently cross check an individual’s identity, the agency was able to validate information, ensuring people seeking access to their information are truly who they say they are. Watch a video to see how the Social Security Administration offers secure real-time access to individuals’ benefits. And, most importantly, keep these important information safety tips in mind every day and enjoy a stress-free and peaceful holiday!  

Research shows that investing in superior customer management easily can exceed returns of 20 percent in the first year of implementation.  A return that compounds in subsequent years as a results of customer-centric strategies that drive customer's loyalty, new customer referrals, and increased revenue opportunities.  Customer loyalty is a key driver that differentiates retail banks when trying to retain existing and attract new customers.   And cited by customers themselves as the way to win their business today.  Achieving superior customer management, however, can be expensive and operationally prohibitive; and let's not to forget to mention there are a number of different approaches that aim to meet such a standard, but fail because critical qualitative insights are not captured in back-end systems of record (SOR).  These "black-box" strategies struggle to be widely adopted across the enterprise and die a slow, internal political death - with wasted resources left on the floor.  It also leaves the customer feeling frustrated and dissatisfied, maybe even ready to flee. One such example was recently illustrated in an article in Credit Union Times.   Changing the retail bank's approach to adopt best practices in developing holistic customer-centric strategies is paramount to the improvement of the customer experiences, and the bottom line. Quantitative data alone can represent only a partial view of reality whereas holistic customer strategies exploit the full value of the enterprise by synthesizing customer knowledge from SOR with external off-your firm financial information and critical qualitative input from customer-facing staff.   Customer-facing staff are critical in the adoption of such strategies and need to be actively engaged to extract customer learnings that will lead to the modification and alignment of customer-level treatement strategy designs and predictive models with the real world.   A collaborative approach, blending art and science, ensures complete adoption across the enterprise and measurable customer experience improvements that can be monetized for shareholders through improved customer retention and new customer acquisitions.  Get access to details on the framework to design and deploy such customer-centric strategies. 

By: Maria Moynihan The public sector is not unlike the private sector when it comes to data. Both require accuracy and relevancy for optimized processes and decision-making. For government agencies, maintaining a holistic view of constituents is more important than ever. By linking data across department systems, governments improve operations, citizen profiling and overall record management.  No longer do agencies have to muddle through records of Maria Moynihan, Mari Moynihan, M Moynihan, and other variations of name or contact information when they all are truly one in the same. Unfortunately, without the right tools and know how, database maintenance, record deduplication, and account validation can be a daunting process.  Below are five critical steps to helping government agencies execute successful linkage of database records: Step 1: Engage stakeholders Data stewards are not mind readers. They work with finite data and rely on stakeholders to provide insight. Seek input from users across departments and functions. Step 2: Identify impacts and priorities Data errors and disparate data prevent stewards from amalgamating records and defining a master database. Focus on areas of strategic priority. Step 3: Create success criteria Look for and set quantifiable metrics for matching. Consider what data needs to be linked and what thresholds are acceptable given objectives. Step 4: Define new standards Create established workflows and guidelines for evaluating, merging and purging records. Step 5: Leverage matching technology Integrate robust deduplication tools to design multiple workflows and handle a variety of matching challenges. In short, without data stewards seeking input from commercial stakeholders, an understanding of the data impacts, and establishing a clear process including defined methodologies and technology for deduplication, government agencies will remain challenged in trying to figure out if Maria, Mari, and M are the same person in databases. Click here to see the full guide to Creating a Single View.  

By: Joel Pruis The commercial lending - traditional C&I, CRE and other - segment is one of the last areas to be “automated” or captured within an automated lending platform.   Many of us talk about the need to automate this segment but the discussion needs to start with the question of “What does it mean to automate originations in the commercial segment?  Let’s start to break this down and define it. Previously, we have covered how to define small business for your respective financial institution.  If you use that as a measurement of what is small business, the remaining segment would by default be your commercial segment.  It seems obvious but good to re-iterate to keep the context on commercial. What we are not planning to cover is the small business segment where there is relatively high application volume and low total dollar production.  If we compare small business and commercial across two major characteristics, we the distinction becomes more clear. The above chart represents the typical situation – the probable not the possible scenario.  For example, there are situations where the sales lead time is days not months for a commercial lending opportunity or a small business application can sometimes take over a year to get the application. I like analogies so let’s compare mass produced furniture vs. custom furniture to small business vs. commercial.  Mass produced furniture is high volume but low dollar per unit (small business) while the custom furniture is the low volume but high dollar per unit production (commercial). Basically, the furniture being mass produced has a low need for any customization with high demand and a low cost of production on a per unit basis.  Conversely, the custom furniture production has relatively low volume but a higher cost of production on a per unit basis. The custom furniture maker has no set designs, no set product line but rather examples of past work that has been done.  There are no set materials that are to be used and no set prescribed method for manufacturing any particular item. While one customer may want a dining room table that has leaves to expand the seating as needed, another may want a drop-leaf table or simply a static table top.  It is up to the customer to decide what the criteria is to best suit the need.  The talented furniture maker will provide his/her expertise to provide the best product/solution for the customer but the end result is ultimately up to the customer.  Such a design will be worked and potentially reworked multiple times before the right design in actually approved by the customer.  Once the design is approved, the work begins on creating the piece of furniture.  The creation may follow a standard set of procedures or may not.  The key is that there is no set way that must be followed in the creation.  The furniture maker will not wait until all material is available but rather can start on portions of the furniture (turning the legs, rough cutting the wood for the table top).  While there is likely an agreed upon delivery date, the success is dependent upon completing the furniture by that date, not following a set prescribed path to completion. It is possible to design and capture the small business origination process with its defined roles and responsibilities in a detailed process map.  The small business origination process can measure and monitor service level agreements and set expectations with the client around the entire process before the application is even taken.  Prescribed order and dependency around the activity and/or task-level process mapping can be accomplished in the small business origination process with a high degree of accuracy and consistency from one application to the next. The commercial loan origination process, however, cannot be captured with a high degree of accuracy and/or consistency.  Individual efforts can certainly be captured and specific service level agreements can be established.  For example, the spreading of financial statements can follow a prescribed methodology and service level agreements can be established.  However, attempts to establish service level agreements that when combined could adequately set expectations of total turnaround times, estimated completion times and prescribed methodologies would result in much lower compliance with such prescribed processes rendering it meaningless. Joel Pruis is a senior business consultant with Experian's Global Consulting Practice.  To learn more about strategy consulting and access more thought-leadership from our team, please visit www.experian.com/consultingservices.

It comes as no surprise to anyone that cell phone usage continues to rise, while at the same time the usage of wire lines, or what used to be affectionately known as POTS (Plain Old Telephone Service), continues to decline. Some recent statistics, supplied by the CDC show that: 34% of all households are now wireless only 25 states have rates of primary wireless exceeding 50% Landline only households is now down to only 10.2% When you couple that with churn rates for cell phones that can exceed 40% a year, it becomes paramount to find a good source for cell numbers if you are trying to contact an existing customer or collect on an overdue bill. But where can debt collectors go to find reliable cell phone numbers? The cell phone providers won’t sell you a database, there is no such thing as 411 for cell phones, nor is it likely there will be one in the near future with the aforementioned 40%+ churn rates. Each cell phone service provider will continue to protect their customer base. There are a few large compilers of cell phone numbers; they mostly harvest these numbers from surveys and sources that capture the numbers as a part of an online service—think ringtones here! These numbers can be good, at least initially, if they came with an address which enables you to search for them. The challenge is that these numbers can grow stale relatively quickly. Companies that maintain recurring transactions with consumers have a better shot at having current cell numbers. Utilities and credit bureaus offer an opportunity to capture these self-reported numbers. At our company, over 40% of self-reported phones are cell phones. However, in most cases, you must have a defined purpose as governed by Gramm Leach Bliley (GLB) in order to access them. Of course, the defined purpose also goes hand in hand with the Telephone Consumer Protection Act (TCPA), which restricts use of automatic dialers and prohibits unsolicited calls via a cell phone. Conclusion? If you are trying to find someone’s cell number for debt collection purposes, I recommend using a resource more likely to receive updates on the owner of a cell over that of compilers who are working with one time event data. In today’s world, obtaining an accurate good cell number is a challenge and will continue to be. What cell phone number resources have been most effective for you?

Contributed by: David Daukus As the economy recovers from the recession, consumers are becoming more responsible with their credit card usage; credit card debts have not increased and delinquency rates have declined. Delinquency rates as a percentage of balances continue to decline with the short term 30-59 DPD period, now at 0.9%. With mixed results, where is the profit opportunity? Further studies from Experian-Oliver Wyman state that the average bankcard balance per consumer remained relatively flat at $4,170, but the highest credit tiers (using VantageScore® credit score A and B segments) saw average balances increase to $2,422 and $3,208, respectively. It's time to focus on what you have—your current portfolio—and specifically how to: Increase credit card usage in the prime segments Assign the right lines to your cardholders Understand who has the ‘right’ spend Risk score alone doesn't provide the most accurate insight into consumer accounts. You need to dig deeper into individual accounts to uncover behavioral trends to get the critical information needed to grow your portfolio:  Leading financial institutions are looking at consumer payment history, such as balance and utilization changes. These capture a consumer’s credit situation more accurately than a point in time view. When basic principles are applied to credit data, different consumer behaviors become evident and can be integrated into client strategies. For example, if two consumers have the same VantageScore® credit score, credit card balances, and payment status, does that mean they have the same current credit status? Not necessarily so. By looking at their payment history, you can determine which direction each is heading. Are they increasing their debt or are they paying down their debt? These differences reveal their riskiness and credit needs. Therefore, with payment history added to the mix, you can more accurately allocate credit lines between consumers and simultaneously reduce risk exposure. Spend is another important metric to evaluate to help grow your portfolio. How do you know if a consumer uses primary a credit card when making purchases? Wouldn’t you want to know the right amount of credit to provide based on the consumer’s need? Insight into consumer spending levels provides a unique understanding of a consumer’s credit needs. Knowing spend allows lenders to provide necessary high lines to the limited population of very high spenders, while reducing overall exposure by providing lower lines to low spenders. Spend data also reveals wallet share—knowing the total spend of your cardholder allows you to calculate their external spend. With wallet share data, you can capture more spend by adjusting credit lines or rewards that will entice consumers to spend more using your card. Once you have a more complete picture of a consumer, adjusting lines of credit and making the right offer is much easier. Take some of the risk out of managing your existing customers and finding new ones. What behavioral data have you found most beneficial in making lending decisions?   Source: Experian-Oliver Wyman Market Intelligence Reports

By: Kyle Aiman Let’s face it, debt collectors often get a bad rap.  Sure, some of it is deserved, but the majority of the nation’s estimated 157,000 collectors strive to do their job in a way that will satisfy both their employer and the debtor.  One way to improve collector/debtor interaction is for the collector to be trained in consumer credit and counseling. In a recent article published on Collectionsandcreditrisk.com, Trevor Carone, Vice President of Portfolio and Collection Solutions at Experian, explored the concept of using credit education to help debt collectors function more like advisors instead of accusers.  If collectors gain a better understanding of consumer credit – how to read a credit report, how items may affect a credit score, how a credit score is compiled and what factors influence the score – perhaps they can offer suggestions for improvement. Will providing past-due consumers with a plan to help improve their credit increase payments?  Read the article and let us know what you think!

By: Mike Horrocks It has been over a year that in Zuccotti Park the Occupy Wall Street crowd made their voices heard.  At the anniversary point of that movement, there has been a lot of debate on if the protest has fizzled away or is still alive and planning its next step.  Either way, it cannot be ignored that it did raise a voice in how consumers view their financial institutions and what actions they are willing to take i.e. “Bank Transfer Day”. In today’s market customer risk management must be balanced with retention strategies.  For example, here at Experian we value the voice of our clients and prospects and I personally lead our win/loss analysis efforts.  The feedback we get from our customers is priceless.   In a recent American Banker article, some great examples were given on how tuning into the voice of the consumer can turn into new business and an expanded market footprint. Some consumers however will do their talking by looking at other financial institutions or by slowly (or maybe rapidly) using your institution’s services less and less.   Technology Credit Union saw great results when they utilized retention triggers off of the credit data to get back out in front of their members with meaningful offers.     Maximizing the impact of internal data and spotting the customer-focused trends that can help with retention is even a better approach, since that data is taken at the “account on-us” level and can help stop risks before the customer starts to walk out the door. Phillip Knight, the founder of Nike once said, “My job is to listen to ideas”.  Your customers have some of the best ideas on how they can be retained and not lost to the competitors.  So, think how you can listen to the voice and the actions of your customers better, before they leave and take a walk in the park.

By: Maria Moynihan State and local governments responsible for growth may be missing out on an immediate and sizeable revenue opportunity if their data and processes for collections are not up to par. The Experian Public Sector team recently partnered with Governing Magazine to conduct a nationwide survey with state and local government professionals to better understand how their debt collections efforts are helping to address current revenue gaps. Interestingly enough, 81% stated that the economic climate has negatively impacted their collections efforts, either through reduced staff or reduced budgets, while 30% of respondents are actively looking for new technologies to aid in their debt collections processes. New technologies are always a worthwhile investment. Operational efficiencies will ultimately ensue, but those government organizations who are coupling this investment with improved data and analytics are even better positioned to optimize collections processes and benefit from growth in revenue streams. No longer does the public sector need to lag behind the private sector in debt recovery. With the total outstanding debt among the 50 states reaching an astounding size of approximately $631 billion dollars, why delay? Check out Experian's guide to improving debt collections efforts in the public sector. What is your agency doing to capitalize on revenue from overdue obligations?