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For Industries: 
Agencies, Government, Government
Overview

Assessing your collection and recovery processes shows how you can:

  • Evolve from "seeming productive" to measuring actual effectiveness and profitability 
  • Strike the right balance between the constituent experience and operational cost 
  • Identify siloed practices inhibiting collection and recovery efficiency and effectiveness 
  • Understand agency performance compared to industry best practices 
  • Align current technologies with processing to optimally perform and achieve better results
For Industries: 
Banking, Banking, Banking, Banking
Overview

On any given day, US consumers are bombarded with various advertisements for "free" credit scores. These offers come from a wide variety of vendors who tout the benefits of knowing one's credit score. Yet, despite that onslaught, surveys show that most consumers understand very little about credit lending decisions and even less about credit scores.

For Industries: 
Banking
Overview

Working with issuers across Europe, FICO has seen big changes in the fraud landscape. These changes are illustrated by new data from Euromonitor International, which show how different countries' defences against fraud, their adoption of powerful analytics and their use of EMV technology have pushed criminals from one country to the next and from one form of attack to another. This white paper provides a snapshot of these trends for 2014, as well as commentary from Martin Warwick, FICO's fraud chief for Europe.

Overview

Reducing fraud, waste, and abuse (FWA) is quickly becoming a leading priority among payer executives, and as a result, investments in U.S. healthcare payer FWA solutions are on the rise. The scale of FWA is huge, the complexion of FWA is changing quickly, and the tools and services that are available are also evolving quickly. These factors are compelling health plans to consider implementing more accurate and cost-effective solutions.

For Industries: 
Banking, Banking, Insurance, Insurance, Retail
Overview

After fifty years of using information technology to increase the efficiency of business processes we are now firmly in the era where technology is also being used to provide us with information. Business intelligence allows us to establish what has happen ed and is happening in our business (often called descriptive analytics), and predictive analytics uncover patterns which can be useful in the prediction of future events. This doesn't complete the picture however. Descriptive and predictive analytics may tell us what has happened and what may happen, but they do not tell us the best way to deploy our resources to meet the demands of the future. An example will clarify. In a retail environment our descriptive analytics will tell us sales volumes, seasonal fluctuations and so on. Predictive analytics may give us insights into which products tend to be purchased together. Armed with this knowledge we then need to know how shelf space should best be allocated and more generally how resources should be utilised to maximise revenue and/or profitability. This is where prescriptive analytics fits in - think of it as a prescription for action.

For Industries: 
Technology
Overview

The business value of text analytics is fairly straightforward. The large amounts of text based data that most organizations possess, acquired and managed at considerable cost, can be analysed in such a way that insights can be gained to improve the efficacy and efficiency of business operations. Text based data are an untapped resource in many organizations. Structured data (customer details held in a database for example) on the other hand are very well exploited, primarily because they are specifically formatted for computer processing. While unstructured data, primarily text, is well suited for human communication, there have been significant hurdles to overcome to make it amenable to processing by computer systems. These barriers have been slowly eroded to the extent that significant value can now be extracted from text.

Overview

The financial crisis of 2008 demonstrated very well that a lack of pertinent information can lead to  very adverse circumstances. Firms operating in financial services, customers, and particularly  regulators came to understand very quickly that information  was key to risk reduction, and we are  now witnessing ongoing efforts by regulators to ensure that firms operating in financial services  generate transparent, well managed information. On the face of it the demands of regulators look  burdensome. In reality  they offer an opportunity for firms to improve strategic and operational  activities through risk reducing, relevant, well managed information.

For Industries: 
Banking
Overview

Experienced modelers readily understand the value to be derived from developing multiple models based on population segment splits, rather than a single model for the entire population, in any model development project. Analysis of data and model development on sub-populations reveals unique predictive patterns that build greater precision into the segmented model. However, experienced modelers are also aware of the pitfalls in segmentation analysis. It can be extremely time-consuming, and result in over-fitting—segmentation trees with excessive leaf nodes that may or may not add value in predicting the target of interest. A common response to over-fitting, selecting the best and second-best splits to "grow" the segmentation tree, limits the possibility of finding the most promising initial splits, and splits at each node.

Overview

The utility industry is facing an era of disruption. Customers now have more options, as well as an increased level of sophistication. They want more information from their utilities in order to gauge the value of their service. They also want efficient and timely communications for everything from outages, billing and payments to energy usage. Now more than ever, they are looking for service and communication through the communication channels they prefer.

Overview

Understanding the New Complexity in Pharmaceutical Marketing

The traditional marketing pathways to health care providers and consumers are radically changing with the growth of digital technology and internet-based communications. The evolving approach for pharmaceutical marketing integrates existing channels such as websites and email with social media, texting and mobile apps. And as the consumer assumes a stronger partner role in researching and choosing treatments, so does the complexity grow in assuring trusted information is shared with the right people at the right time. 

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