April 20, 2021
If we can choose, we can change. If we can’t change, then choice means nothing.
~The Rhythm of War
Defining data science is challenging enough, so let’s cut to the chase and focus on the goal – show me the money! Utilizing data science in business is the future, the now, and the forevermore. It’s an insightful and complex process that merges statistics with businesses acumen to make smarter decisions so that profitable opportunities can be expanded, examined, measured, and implemented. As technology advances, so does the scope and storage of data, increasing prospects for more accurate and relevant customization of products/services.
Data is the new black gold . . . so, understanding how to manipulate, program, and analyze the numbers and statistics that are unearthed is the constant challenge to increasing profits based on smart, calculated, and predictive insights. Key word – predictive – the data by itself is only half the formula; it’s what the scientists do with the data that makes it meaningful and valuable. Understanding the monetary value of information and how it operates within the business domain to generate and guide constant improvements is at the core of data science.
The old guard sitting in a meeting room, brainstorming what consumers will buy, and hoping to hit the nail on the head wasn’t the most reliable method of forecasting. Data science turns the tables as the ideal combination of the human brain and technology, aka augmented intelligence, resulting in a complex and precise customer profile. Computer gathered data, analyzed by expert minds armed with the right technology, takes a lot of the guess work out of product innovation while providing a profitable roadmap that predicts where and when to sell products.
RIBBIT, a Data Analytics company providing risk assessment products for lenders, FinTechs, retailers and banks, is an example of the applicability of data science. Powered by a team of data scientists, RIBBIT provides predictive analytics on non-credentialed and credentialed bank account insights to improve customer loan and payment performance. Drawing on data results using algorithms and statistics, RIBBIT’s risk formula, measuring thousands of consumer attributes, is proven superior to traditional, credit risk techniques. RIBBIT empowers financial decisioning with predictive insights on 99% of bank accounts, painting a heightened landscape of customer affordability. The revolutionary blueprint is a win-win for lenders and their customers.
Steven Thompson, RIBBIT’s Chief Data Scientist, explains “Data science at RIBBIT is a melding of decades of experience of analytical intuition and hard statistical insights. In a sense we are creating a recipe for deeper affordability and behavioral outcomes from better ingredients – carefully curated bank account data. The benefits are obvious – more complete and predictive credentialed and non-credentialed bank account products.”
Stay tuned . . .
Reach out and touch somebody’s hand, make this world a better place ~ Diana RossAm I old fashioned to think that face-to face meetings with handshakes, eye-to-eye contact, positive body language, shared dinners, friendly cocktails, and warm conversation builds...
“We’re all part of an interconnected system and once we see that, our responsibility becomes very clear. We have to help those in need today, AND ensure the world emerges a stronger, more resilient place—because doing the right things for society will lead to the right outcomes for business.”
~Ajay Banga Executive Chairman, Mastercard
Relying on money in our pockets to buy food, pay rent, purchase gas, and support daily living would be a dangerous game, but that’s how the unbanked lives. . . . not a good scenario for financial success.
You can’t always get what you want, But if you try sometimes you just might find, You get what you need ~ Rolling Stones
As a kid, I loved the Magic 8 Ball and believed, if you held it just the right way, it had all the answers. As adults, we have all stewed over a purchase wondering whether we should buy it, can we afford it, and what are the consequences of nonpayment? Often, the wrong answer to these practical questions can put individuals into debt, plummet their credit ratings, and impact all future financial opportunities.