Report Connects Foreclosure Rates to Bank Understaffing, Disorganization

A new study finds that disorganization and understaffing at the nation’s largest mortgage servicers contributed to low modification rates over the last few years, leading to 800,000 more foreclosures than necessary between 2009 and 2012.

New Study Implicates Nation’s Largest Banks

The new report found that 800,000 more homeowners would have been eligible for a loan modification between 2009 and 2012 if the nation’s largest banks had been adequately staffed, properly organized and had devoted resources to training staff members responsible for processing modification requests.

Officials at the Federal Reserve Bank of Chicago, the Office of the Comptroller of the Currency, Ohio State University, Columbia Business School and the University of Chicago authored the report. They analyzed the impact HAMP–the Home Affordable Modification Program–had on foreclosure and loan modification rates over the past few years.

Though it did not name the banks with the lowest loan modification rates, the study did mention that the nation’s largest banks processed loan modifications at half the rate of smaller banks, which had larger, better-trained staffs. The nation’s largest banks include Bank of America, Wells Fargo, JPMorgan Chase and Citi.

The experts theorize that these banks dragged their feet on increasing loan modifications, because improving modification rates would shift their focus from loan payment processing to actively negotiating with homeowners.

HAMP Increased Loan Modifications, but Fell Short of Goals

President Obama announced the HAMP program in 2009 and predicted that the program would lead to three to four million loan modifications by the end of 2012. The program gave monetary incentives to the nation’s banks in an effort to remove the economic barriers that the banks claimed barred them from processing more loan modifications.

The report found that though it marginally increased the number of loan modifications, HAMP fell far short of its goals. Instead of the three or four million modifications, only 1.2 million modifications are predicted to be complete by the end of this year. The study estimates that 800,000 homeowners would have qualified for loan modifications if the banks had had their acts together. Instead, these homeowners suffered through foreclosure.

Report’s Authors Suggest an Alternative: Private Servicers

Due to the poor performance of HAMP, the report’s authors suggest the government use the money slated for bank incentives for another purpose. Instead of paying banks a subsidy that may or may not compel them to increase loan modifications, the authors recommend the money be used to fund private mortgage servicers that would be better staffed and more efficient. The big banks could transfer their loan modification applications to the new servicers. The experts predict this system would help improve the nation’s foreclosure rate.

Though the study provides little recourse for homeowners who have been foreclosed on or have been threatened with foreclosure, at the very least it provides an explanation for the low loan modification rates over the past few years. If your bank has threatened you with foreclosure, contact an experienced bankruptcy attorney who can help you determine if bankruptcy or a loan modification could help you keep your home.

Article provided by Price Law Firm PLC
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Making Research Useful Data Visualization to Create Reports

Data Visualization is a powerful tool for qualitative reporting. Visual elements, like graphics, not only break up the monotony of long text pages in the reports, but they also communicate the information in an interesting way. This helps readers understand things quickly and makes the data more memorable. However, it is helpful only if done right.

If you go through the trouble to create a report, but no one finds it interesting or don’t want to read it, will it do anything good? Certainly not! Therefore, it is necessary to research useful data visualization for creating reports. Whether you want to provide your team with better insights, or get your team’s support for a new initiative, read on to know how to make data visualization to create qualitative reports.

Know The Basics Of Data Visualization

Before you create graphics for your report, it is necessary to check the data for accuracy. Incorrect data in the reports may lead to an incorrect decision. So, make sure to deliver the right, valuable information. Below are the three basic principles of creating data visualization for a report-

Pick the right graphics based on your goals.
Ensure that the message in your graphics is relevant to the audience.
Choose the right design for the graphic.
You also need to consider:

Purpose: Data analytics basically creates and analyzes the raw and unused Dara by transforming it into actionable data. These reports contain insights and also present data metrics, analysis, and conclusion in a visual format. This makes it easy for everyone in the organization to access and read data to make data-driven decisions.
Accessibility: Previously, creating reports with lots of data was a resource-driven and time-consuming task. Also, data pull requests were the most important thing for IT professionals, with lots of time analyzing, formatting, and representing data. However, with real-time, cloud-based reporting has changed the reporting game. The modern data visualization tools allow businesses to collaborate on various subject matter experts (SME). You can also export stunning reports that can be shared via automating emails.
Data types: Business data reports cover lots of topics and hold various organizational functions. These data reports are of varied length, format, and content. So, identify which data types you are using in your organization. Whether you want to present annual reports or accounting reports, you can use these reports by offering predictive and real-time insights to show in your organization.
If the message is right, but the graphic is dull, or there is a wrong insight, you won’t get the desired results.

Choose The Right Type Of Graph

Choose the wrong graph type, and the viewers will get confused. Therefore, it is important to know the data you want to visualize and the purpose behind it. Do you want to compare data points? Or, do you want to show the structure of something using data? Here are the popular chart types you can choose to achieve your goals-

Sankey Diagram (used to show the flow in system)

Line chart (used for comparing changes within data sets)

Bar chart (when you want to compare several data sets)

Pie chart (shows the shares of each component in the data set)

Histogram (shows the distribution of data sets across a definite period of time)

Bubble chart (used for comparing two parameters via the means of the third)

5 point likert scale (used for getting response from respondents in survey analysis)

Adding the right design principles and choosing elements, like ordering, comparison, shape, size, color, etc., make a big difference in how people perceive the data.

Make The Correct Use Of Visuals

Another important thing you need to consider while making research useful data visualization is to choose the right message. The readers should be familiar with the data you include in the report. Also, make sure that the parameters you are going to visualize can be combined.

Besides, take into account the scale and scope. For example, most viewers are used to reading the measurement from the bottom or left of the axes. If you happen to change this direction, the audience may get confused. However, if you must reverse the order, you need to use some tactics so that it is clear and easy to understand.

Keep It Simple And Compelling

The simpler the chart, the easier it is to understand. You don’t have to use extra elements, different colors, structures, etc., to a standard report. Avoid displaying all the charts on the same dashboard by reducing the size of the visualizations. Ideally, don’t use more than three charts on one page. Furthermore, if it is a non-standard task, don’t hesitate to experiment with different visuals.

Compare And Pick The Right Visualization Tool

There are several data visualization tools available on the market. Some of these tools work online, while others need to be installed on the desktop. Many tools are free to use, whereas you need to pay for some. The best visualization tool is the one that caters to your needs and helps you create visuals with great insights. Some of the popular tools are Tableau, Databox, Google Charts, etc.

Conclusion

These are some of the ways to make data visualization and create engaging reports and communicate the key findings more effectively. If your report contains valuable information and compelling visuals, the in-house team, as well as the readers outside the company, will find it interesting. However, creating catchy and useful data visualizations is the first step to create high-quality reports. You can use a good data visualization tool and solution to create visuals that create the most impact. These tools will help you create the most insightful visuals for your report effortlessly.

Magento Development Company for the Year 2021

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Allows advanced control over the custom programming
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Advanced Catalog management
Several plugins and functionalities to choose from.

Perks of Magento as a platform

Multiple Store Panels

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Magento Open Source

Magento is a free and open-source platform for fulfilling the need for exceptional features with incredible performance. Free of cost when it comes to the community version and regarding the development of the website by hiring the Magento developers, it depends on the customer’s requirements. If the developer looks forward to creating too many websites, they must choose the Magento company edition

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If you are developing a website for the initial days to reach the client base and grab mass audience attention, you can go ahead and choose Magento without much thinking. It also comes with website SEO features that help to increase the ranking and boost the crowd on your websites.