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Elder Research Data Science and Predictive Analytics Blog

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Elder Research Data Science and Predictive Analytics Blog

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Elder Research is a recognized leader in the science, practice, and technology of advanced analytics. Topics on our blog cover analytics tips, analytical modeling, data and text mining tools, data visualization, analytics best practices, case studies, etc. to provide business leaders with actionable information on real world analytics problems.

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    Fighting the Opioid Crisis with Machine Learning

    In March 2017, President Trump established the President’s Commission on Combating Drug Addiction and the Opioid Crisis. In October 2017 Eric D. Hargan, Acting Secretary of Health and Human Services, declared that a national public health emergency exists as a result of the consequences of the opioid crisis affecting our nation. In September 2018 the U.S. Department of Health and Human Services awarded over $1 billion in opioid-specific grants to help combat the crisis....

    BLOG_Fighting the Opioid Crisis-2

    In March 2017, President Trump established the President’s Commission on Combating Drug Addiction and the Opioid Crisis. In October 2017 Eric D. Hargan, Acting Secretary of Health and Human Services, declared that a national public health emergency exists as a result of the consequences of the opioid crisis affecting our nation. In September 2018 the U.S. Department of Health and Human Services awarded over $1 billion in opioid-specific grants to help combat the crisis.


    Why Data Literacy in the C-Suite Matters

    In one recent week, I heard about the need for increased “data literacy” from executives at a major insurance company, leaders at a large consumer packaged goods manufacturer, and senior administrators at a preeminent research university. All these leaders understand the need for a comprehensive data strategy and want to create one for their organizations. Yet, they are finding it difficult to effectively communicating their strategy to employees who are not used to working in a...

    BLOG_Why Data Literacy in the C-Suite Matters

    In one recent week, I heard about the need for increased “data literacy” from executives at a major insurance company, leaders at a large consumer packaged goods manufacturer, and senior administrators at a preeminent research university. All these leaders understand the need for a comprehensive data strategy and want to create one for their organizations. Yet, they are finding it difficult to effectively communicating their strategy to employees who are not used to working in a data-driven environment, and who don’t understand how to implement that strategy in their day-to-day work.


    A Strategic Guide to Developing Your Analytics Team

    Good data scientists are hard to find! This is in spite of the rapid growth of University master’s degree programs and commercial boot camps. Those sources do produce a much-needed supply for the data scientist demand projected over the next decade. However, becoming a good data scientist takes more than what these programs can...

    BLOG_A Strategic Guide to Developing Your Analytics Team-1

    Good data scientists are hard to find! This is in spite of the rapid growth of University master’s degree programs and commercial boot camps. Those sources do produce a much-needed supply for the data scientist demand projected over the next decade. However, becoming a good data scientist takes more than what these programs can provide. 


    How to Automate Machine Learning Model Tuning

    I’ve long heard that “a watched pot never boils,” but when I am heavily invested in the outcome of a process, I still tend to monitor it intently. In my impatience I begin to wonder if my attention is worse than useless, and is actually impeding the progress of the process! When considering machine learning models, it may be true. Let me explain....

    BLOG_How to Automate Machine Learning Model Tuning-1

    I’ve long heard that “a watched pot never boils,” but when I am heavily invested in the outcome of a process, I still tend to monitor it intently. In my impatience I begin to wonder if my attention is worse than useless, and is actually impeding the progress of the process! When considering machine learning models, it may be true. Let me explain.


    Top 3 Lessons Learned While Drinking from the Data Science Firehose

    I had one hard requirement during my job search: wherever I ended up, I wanted to drink from the "data science firehose." I wanted to work alongside seasoned data scientists with diverse skillsets and an unadulterated passion for solving problems with data. I wanted to leave the office after my first day asking myself, “How in the world am I going to keep up with these people?” And that's exactly what I've gotten at Elder Research....

    BLOG_Top 3 Lessons Learned While Drinking from the Data Science Firehose

    I had one hard requirement during my job search: wherever I ended up, I wanted to drink from the "data science firehose." I wanted to work alongside seasoned data scientists with diverse skillsets and an unadulterated passion for solving problems with data. I wanted to leave the office after my first day asking myself, “How in the world am I going to keep up with these people?” And that's exactly what I've gotten at Elder Research.


    Monte Carlo Simulation - a Venerable History

    One of the most consequential and valuable analytical tools in business is simulation, which helps us make decisions in the face of uncertainty.

    BLOG_Monte Carlo Simulation

    One of the most consequential and valuable analytical tools in business is simulation, which helps us make decisions in the face of uncertainty.


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