Mind-Boggling Big Data Statistics – Fact or Fiction?!

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losing a job offer

Every statistic about Big Data is mind-boggling but many of them seem to be without cited sources and are used over and over again as they take on a life and an accepted truth of their own on the internet. We’ve made some comparisons between a September 2015 blog by Forbes and more recent statistics…. Read more »

Data Science Can Save Traditional Banking

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One-third of Millennials don’t think they will need a bank at all in five years. From big internet giants such as Google, Facebook and Amazon to small, innovative startups such as Square, CreditKarma and TransferWire, traditional banking is being threatened from all sides. How is the banking industry responding to these generational changes and competitive… Read more »

I’m an Actuary. How I Can Become a Data Scientist?

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You’ve earned your ACAS or your FSA. You’re pleased with your level of success but a little concerned about your distance from actual statistical work. How can you continue to move ahead in responsibility and compensation, yet do the work you love? Data Science is fulfilling this need for Actuaries. How do you become a… Read more »

Why Being an Actuary is So Exciting!

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Why Being an Actuary is So Exciting!

An actuary’s primary responsibility is to calculate expected insurance losses and risks. Seem boring? Too Vanilla? Not true! While the existing stereotype about a career in insurance is that it will be boring, the reality is actually quite different. Insurance is on track to become one of the most diverse and exciting industries for two… Read more »

How Big Data is Influencing Data Science

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pharmaceutical commercial analytics

Businesses today have almost limitless sources of data and one of their biggest challenges is figuring out what to do with it. With advances in processing technology, the connectedness of smart phones and social networking, businesses are relying on real-time data to help them make more informed and more relevant decisions. It is becoming almost… Read more »

Big Data Algorithms are Discriminatory

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Big Data Algorithms are Discriminatory

Just like the recent Presidential election showed us that just because the polls say so doesn’t make it true, the widespread belief that if it’s a math equation it must be objective isn’t holding up. Algorithms built on Big Data are written and revised by humans, and machine learning algorithms revise themselves based on people’s… Read more »

Regulatory Impact and Big Data in the Financial Services Industry

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Commercial Analytics Career

Data applications in the financial services industry in 2015 largely focused on reducing risk, meeting regulatory objectives and bolstering fraud detection. There was also an emphasis on expanding the credit population through the use of alternative data. The merits of using big data raised questions and concerns and often resulted in more regulatory interference. Size… Read more »

Data Science Trends 2015 to 2016

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Never before has business analytics led worldwide discussion as it did in 2015. Data Science and the amount and depth of data being analyzed captured interest from Wall Street to John Q Public’s concern about privacy. Here are some of the trends we saw in 2015 and how they will impact hiring in 2016. The… Read more »

Is Your Company Making These Mistakes with Big Data?

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Big data has been touted as the new route to easy success. Companies have been made to feel like they’re way behind the times if they haven’t gone after big data aggressively. The problem? Too many companies jump into big-data projects and end up with nothing to show for their efforts. Why? 1. Lack of… Read more »