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It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.Paragraph Block- is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
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This is the pull quote block Lorem Ipsumis simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s,
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This is the pull quote block Lorem Ipsumis simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s,
ExperianThis is the citation
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of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
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In a previous post (“The Benefits of Bundling”), I discussed some of the advantages that can be derived from bundling services, including: • Enhanced customer loyalty • Simplified customer experience • Time and money savings • The ability to penetrate new markets • Easier and less risky upselling path for larger share of wallet Easier said than done While the benefits may be many, making bundling work for you is no simple task. Formulating a plan to maximize upside and mitigate risk starts with a deep understanding of your customer’s ability to pay a bundled services bill. I recommend the following: Leverage your current relationship (or your partner’s relationship) with the customer to understand past payment behavior. A long history of on-time payments is obviously a good sign, but it’s not the only attribute to consider. Look at the customer’s credit score to get an idea of creditworthiness. By setting certain thresholds, you can amass a list of customers that would likely respond positively to a bundled offer and also be able to pay for it. Incorporate broader data sets to improve business intelligence and obtain a more accurate assessment of each customer’s creditworthiness. Overlaying certain attributes on top of a base credit score can help you make more effective decisions about which customers to approach with a bundled offer. In fact, even a questionable credit group might receive a positive lift by applying the right attributers (see below). Alternatively you might be able to uncover the few members of an otherwise undesirable group that have the right attributes but that might otherwise have slipped under the radar. Ultimately your goal is to determine the point at which a customer is most profitable to you versus the point at which paying the bundled bill becomes a problem. But that’s not the end of the story. Just because a customer can pay for a bundled offer doesn’t mean he or she will. Once you’ve determined the right customers to approach, your next task is to determine how to create the most appropriate mix of services to bundle, a topic that will be covered in an upcoming post. In the meantime, if there are specific topics in the realm of bundling you would like to see addressed, please be sure to comment on this post.
This paraphrased lament from Coleridge’s Rime of the Ancient Mariner may loosely reflect the predicament facing many communications companies today: afloat on vast sea of customer information, yet, lacking resources or expertise, unable to draw from it much new or actionable intelligence. Not that data mining is ever a small or insignificant task. It isn’t. Even when resources are plentiful, obstacles can loom large—especially across numerous lines of business, where risk can multiply exponentially. Siloed data, disparate customer records and other challenges also make the work difficult, as do: The dynamic nature of consumer information Inconsistent data quality and match logic throughout the enterprise The inability to reliably link active and inactive accounts failing to identify existing customer relationships at the point of application The missing link Experian has seen many communications companies overcome these issues through database linking—that is, connecting, integrating and packaging customer information from several sources into a more cohesive and accessible structure. Linking reduces risk by identifying overlap of consumers with multiple accounts across several lines of business. It also reveals duplicate records, as well as active accounts that may be current in one line of business, but delinquent or inactive in another. The benefits The broader perspective gained through database linking can drive new efficiencies and profitability in many vital areas of your business, from fraud prevention to skip tracing and collections. Should the need arise, newly linked information can also be used to locate elusive customers or former employees for legal purposes. What you can do right now Even if resources are currently limited you can still begin discovery—the process of identifying precisely what data you have, where it resides within the enterprise, how it’s being used, and by whom. This information, perhaps combined with guidance from an experienced external service, can provide a solid foundation from which to begin leveraging (and if indicated, supplementing) existing customer data. We know communications clients who have identified millions of dollars in uncollected bad debt that was linked directly to current, active customers, using a couple of “next generation” data tools. Like the old Mariner, your in-house data has a big story to tell. Question is, are you equipped to hear it? If you like this topic, click here to read the post entitled “Leveraging Internal Data to Create a Holistic View of Your Customers.

Application risk management processes for deposits has remained relatively unchanged for decades. Typically, it involves credit bureau data and a secondary check of “debit bureau” data. A “debit bureau” typically gathers information regarding known fraud and compiles a fraud database of perpetrators. Every applicant who passes the credit risk strategies is checked against this database. The challenge is that this process can be very expensive. Among a new class of fraud best practices is the idea of applying fraud models/fraud analytics as a filter upstream from the debit bureau’s fraud database. This practice enables deposit institutions to still identify known fraud and minimize fraud losses on those applicants that carry the highest risk. At the same time, costs are reduced by removing low risk accounts from the debit bureau check. In addition to reducing costs, these revised acquisition strategies help reduce fraud referral rates while ensuring that application fraud does not increase. As deposit institutions look for ways to significantly reduce costs without suffering additional application fraud, look for the continued emergence of fraud analytics among 2011’s fraud best practices.
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typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


