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Articles by Jeffrey D. Camm
Why Data Modeling Is Not Enough
Jeffrey D. Camm is senior associate dean of faculty and research, a professor of analytics, and the Inmar Presidential Chair in Analytics at the Wake Forest University School of Business. Michael J. Fry is a professor of operations, business analytics, and information systems and senior director of the centers and institutes in the Lindner College of Business at the University of Cincinnati. Scott M.
Why Data Modeling Is Not Enough
Why Data Modeling Is Not Enough Are you disappointed in the ROI of analytics projects? Many organizations focus too much on data science and not enough on decision science. Summary: Why do so many data science efforts still fail organizations? In many cases, there is a gap between the models that data scientists produce ... and the information that business managers need. Data science work must do more than model data: It must connect to the specific decisions managers face.
One Simple Way to Get Better at Reading Data
Edwards Deming famously said, “In God we trust; all others bring data.” As we’ve evolved from analytics to data science to AI, the world has never been more data driven. And as a leader, you are expected to make sound decisions backed up by data. However, leaders rarely use raw data directly for decision making. Instead, they are likely to be a consumer of statistics calculated by their direct reports to help them make informed decisions. Source link
Machine Learning and Data Analytics in the Pandemic Era
The COVID-19 pandemic has serious implications for the future of data, analytics, and machine learning. The pandemic has disrupted machine learning, analytics, and data strategies at large companies around the world. Now’s a good time to look at what that has meant for leaders who rely on these tools, and what those leaders are doing to redeploy and regroup. In this webinar, Jeffrey D. Camm and Thomas H.
Prescriptive Analysis In Manufacturing To Boost Profitability
I have to chuckle when I hear people ask, “Did you know analytics can be applied to manufacturing?” Well, yeah — have you ever heard of operations research? It’s been around since World War II and is the use of data, mathematical models and algorithms to solve problems in operations. Sound familiar? I suppose some people think of analytics as new to manufacturing because of analytics’ focus on big data, social media and marketing.
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