Diving Deeper

At Flying Phase, we take a different approach to tackling our clients' problems. Beyond our credit-meets-technology expertise, part of what differentiates Flying Phase from our competitors is how we attack clients’ problems. Yes, the results stand on their own, but the way in which we get there – iteratively and with a focus on incremental value – plays a huge role in shaping the end result. Whether in internal projects, our recruiting and marketing efforts, or our client engagements, Flying Phase brings an Agile approach to everything we do. Though born in software development, Agile has deep applicability across all...

Understanding polling and election modeling: How the behind data science and models that were seemingly off-target in 2016 are different in 2020. With less than a week until Election Day, key polls are pointing in the Democrats’ direction. Former Vice President Joe Biden leads in nearly every key battleground state, and pollsters and pundits say his victory is likely. For many Democrats, however, it feels like repeat territory, a PTSD of sorts from 2016, recalling pundits describing the race as “Hillary’s to lose” and assigning high chances to her victory. But by late Election Night, Donald Trump had claimed the...

Summary Solution: Highly regulated industries can better leverage machine learning tools (and create trust in their findings) by developing monitoring systems that are holistic, insightful and actionable. Over the past decade, we’ve seen an explosion in the field of machine learning. Tech giants, online retailers, and social media platforms all have adopted machine learning strategies to evaluate data in ways that human beings and traditional modeling frameworks cannot. These new machine learning models provide a better fit for non-linear relationships, uncover unique insights and are better equipped to pick up on the nuances of a shifting environment. It’s no surprise,...

Summary Solution: Organizations often shortcut internal tech products because they don’t provide direct value to the customer. This post explores where and how to invest your time and efforts. Read a book or article on the topic of building a great product, and the process seems simple enough: Identify a customer base with an underserved need, present a value proposition, slap on some consumer-driven features and iterate to success. Even when we calibrate product development for an internal audience within an organization, the formula presents itself as manageable: Build an enterprise solution that solves for real problems and stop wasting...