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How Conventional Scores Are Stopping Most Millennials From Accessing Credit and How One Company Is Changing That
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Credit scores are a barrier to entry for just about everything for millennials. Trust Science® is taking new metrics into account to expand access to credit with Credit Bureau 2.0®
What’s Keeping Millennials From Accessing Credit?
The concept behind a credit score seems simple enough. It tracks your credit history to see if you’re someone that a bank or lender can trust to pay back a loan. However, conventional credit scores just don’t account for the way that millennials and Gen Z handle their finances.
Even where a person would be fully capable and reliable in paying back a loan, the lack of an established credit score can prevent them from accessing credit, or at least from getting as much as they should be able to. That leaves millennials without an on-ramp into the modern economy and it can also jeopardize access to other “credit gated” necessities like housing.
The way that conventional credit scores are calculated is complex but boils down to 5 essential metrics:
- Payment history
- Amount owed
- Length of credit history
- Credit mix
- Hard credit inquiries
You can start to see the issue for millennials when you look at what data goes into their credit scores. For one thing, younger people don’t have a long credit history. Even without other factors, simply being young and only having had so much time to build credit puts them at a disadvantage. However, millennials have also been tending to establish credit later in life compared with previous generations, putting them at a further disadvantage.
The most significant issue here is the credit mix. Different types of credit affect credit scores differently, and millennials generally don’t have a favorable mix. While they might have a credit card or two, they generally don’t have mortgages. These are the most beneficial type of credit to have on your credit report, and millennials really have that going against them.
The student loan crisis also plays a big role. Young people today have much higher student loan debts than previous generations, meaning they have a great amount of credit owed. Not only that, but many can begin to fall behind on payments and see that amount grow. This can quickly send a credit score spiraling out of control.
Student loans aren’t the only threat. When young, some people make poor decisions. They could find themselves making credit mistakes very early on and suffering the fact that those mistakes can haunt their score for seven years in general. That means someone at 25 is still paying for a mistake made at the age of 18, even if they’ve been on the up and up ever since.
It’s clear that conventional credit scores weren’t designed with the current landscape in mind and that young people are being negatively affected. But what exactly can be done about this? One company is changing the way that lenders look at creditworthiness to make it possible for millennials to mitigate these issues.
How Credit Bureau 2.0 Fixes Those Problems
Trust Science is an innovative fintech company that has developed Credit Bureau 2.0, a scoring service that acts as an antidote for lenders, offsetting the problems posed by conventional credit scores. Instead of seeing a lack of credit history, a few negative issues from years ago, or a poor credit mix and ending any credit application, Credit Bureau 2.0 considers a wealth of additional data to generate a more accurate credit score.
Credit Bureau 2.0 expands the data used to calculate credit scores, getting the borrower’s consented, permissioned data and/or acquiring Alternative Data in order to reach a more accurate credit score. For example, those applying for credit can use Trust Science’s Smart Consent™ app to divulge their information safely and confidently to Trust Science, which is working on behalf of the lender that is trying to reach a decision about the borrower. By doing so, young people or other people without a credit history in-country can let prudent financial decisions in other areas of their lives demonstrate that they’re trustworthy for greater credit.
The service is available to a wide variety of lenders, including auto lenders, installment lenders, and single-repayment lenders. It’s in their best interest to find more reliable, deserving borrowers to give loans to, so Credit Bureau 2.0 benefits both sides of the transaction.
Trust Science CEO Evan Chrapko says that “Credit Bureau 2.0 isn’t just about giving borrowers access to more credit than they would have had otherwise. It’s about recontextualizing financial data to give both sides–lenders and borrowers–a more accurate and reliable way to enter into loans in the modern economy.”
Blog
Applications of Automation in Research and Clinical Diagnostics
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Precision counts in the fields of science and medicine. This is particularly true for the basic task of counting and analyzing cells, which is used in both clinical and research settings. The introduction of automatic cell counters, which provide efficiency and accuracy that manual approaches cannot match, has resulted in a notable advancement in this field.
What is Automated Cell Counting?
Automated cell counters are advanced instruments that are made to precisely and swiftly count and examine cells. In contrast to manual counting methods that rely on human vision and a microscope, automated counters use software algorithms and image technology to count and analyze cells. This ensures more accurate findings by expediting the procedure and lowering the possibility of human error.
Type of Automated Cell Counters
There are several types of automated cell counters used in research and clinical diagnostics, each employing different technologies and methods for cell counting. The main types of automated cell counters include:
These various types of automated cell counters provide effective and precise methods for cell counting and analysis, each with unique benefits and uses in clinical and research environments.
Automated cell counters have become indispensable tools in understanding cell behavior. They are used in various research fields, including cancer research, drug discovery, and stem cell therapy.
One of the key benefits in research is the ability to handle large volumes of data. For instance, in drug discovery, automated counters can quickly analyze the effects of thousands of compounds on cell growth and death. This high-throughput capability accelerates the pace of research, allowing scientists to screen potential drugs more efficiently than ever before.
Moreover, automated cell counters offer the precision required to detect subtle changes in cell populations. This is crucial in fields like cancer research, where understanding the behavior of cancer cells can lead to the development of more effective treatments.
The impact of automated cell counters extends beyond the research laboratory and into clinical diagnostics. In medical laboratories, these devices play a critical role in routine blood tests, infectious disease diagnostics, and monitoring patient health during treatment.
For example, in a routine complete blood count (CBC), automated cell counters can quickly provide a detailed analysis of different blood cell types. This information is vital for diagnosing conditions such as anemia, infections, and blood cancers. The speed and accuracy of automated counters mean that patients can receive diagnoses and begin treatment more swiftly.
In the context of infectious diseases, automated counters can detect and quantify specific pathogens or immune cells, helping to diagnose infections quickly and accurately. During the COVID-19 pandemic, automated cell counting technologies were instrumental in monitoring virus spread and patients’ immune responses, showcasing their value in crisis situations.
Challenges and Future Directions
The initial cost of these devices can be high, and their operation requires specific technical expertise. Additionally, different types of cells and conditions may require customized counting protocols, necessitating ongoing adjustments and updates to software algorithms.
Looking ahead, ongoing advancements in technology promise to further enhance the capabilities of automated cell counters. The global cell counting market growth is anticipated at a CAGR of 7.5% by 2032. Innovations in imaging technology, artificial intelligence, and machine learning are expected to improve accuracy, speed, and the ability to analyze more complex cell characteristics. As these technologies evolve, automated cell counters will become even more integral to research and diagnostics, opening new avenues for scientific discovery and patient care.
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