Tag Archive for data science

The FDA, Big Data, and Cutting Administrative Complexity

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by Angela Guess Forbes contributor Bill Frist recently wrote, “In looking at the $2.8 trillion a year—20% of our Gross Domestic Product—that our nation spends on healthcare, we see that about $900 billion of that is waste and $248 billion can be attributed to administrative complexity. This costly complexity stems from the ACA, insurance regulations,…

Perfect Data Science: The Push and Pull of Customer Data

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by Angela Guess Writing for ComputerWorld, Eric Berridge recently opined, “Perfect data science takes every customer interaction and identifies patterns that can be repeated and proactively acted upon. In this ideal scenario, humans and artificial intelligence systems collaborate in an amalgamation of contextual, timely insight to better understand their customers and, ultimately, to predict their…

The Data Science Revolution is Fueled by Open Source Software

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by Angela Guess Writing for Inside Big Data, Neera Talbert of Revolution Analytics recently noted, “It’s hard to downplay the influence of open source software on the spectacular rise of data science. From my perspective as a technology consultant, open source isn’t just an interesting aspect of the data science revolution; it’s absolutely critical. R,…

Predictive Analytics, Behavioral Science, and Solving the ‘Last-Mile Problem’

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by Angela Guess James Guszcza of Deloitte Consulting recently wrote in Forbes, “What do ‘Moneyball’—applying data analytics to make more economically efficient decisions—and ‘nudge’— using principles from psychology and behavioral economics to promote decisions that are consistent with people’s long-term goals—have in common? Quite a bit, as it turns out. Business analytics and the science…

Scaling Innovation by Foregoing the Data Scientist?

My datas are all gone wrong

by Angela Guess Writing in Forbes, RelateIQ recently opined, “If they truly want to innovate, companies should keep their data in its native form as much as possible. According to Accel Partners’ Ping Li, the alternative leads to data so scrubbed and polished that it’s totally devoid of insight. ‘That’s what happens in big companies.…

Women Make Up a Growing Number of Data Scientists

Women: Entrepreneurs

by Angela Guess Writing for the Chicago Sun Times, Francine Knowles recently noted, “At Northwestern University Feinberg School of Medicine, Mary Kwasny is conducting research designed to help pregnant women reduce unhealthy weight gain. At Groupon, Zahra Ferdowsi’s research is helping the Chicago e-commerce marketplace company better target merchants most in demand from deal-seeking consumers.…

Starting Small with Big Data

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by Jelani Harper The inhibitors of Big Data initiatives are abundant and include: Upfront capital: There is a general perception that the infrastructure to apply Big Data and options for advanced analytics are costly, and that such initiatives are widely reserved for large organizations instead of small- and mid-sized ones. Technological gaps: Costs notwithstanding, many…

Tackling Data Science Inefficiencies by Defining & Reducing Waste

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by Angela Guess Writing for TechRepublic, John Weathington recently noted, “Because of my background and experience in Lean Six Sigma, I’m often called in to lean out a process, which means to remove as much waste as possible. However, leaders are usually puzzled when I lean out a data science process, because it doesn’t align…

Data Scientists Say Messy Data and Lack of Time are Top Career Obstacles

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by Angela Guess According to a new article out of the company, “CrowdFlower (www.crowdflower.com), the leading data enrichment platform for data scientists, today released its 2015 Data Scientist Report (http://goo.gl/7LC5Ug). Findings revealed that data scientists saw messy, disorganized data as a major hurdle preventing them from doing what they find most interesting in their jobs:…