The real work of data science: turning data into information, better decisions, and stronger organizations von Kenett, Ron S, Redman, Thomas C

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Problem framing: Essential to successful statistical engineering applications von Hoerl, Roger W., Kuonen, Diego, Redman, Thomas C.

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Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges von Srivastava, Divesh, Scannapieco, Monica, Redman, Thomas C.

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A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields von Levy, Eliott Robert Joseph, Carrillo-Segura, Simón, Park, Eun Hye, Redman, William Thomas, Hurtado, José Rafael, Chung, SueYeon, Fenton, André Antonio

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Data quality and statistics: Perfect together? von Redman, Thomas, Hoerl, Roger

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How AI Is Improving Data Management von Davenport, Thomas H, Redman, Thomas C

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Assessing data quality: A managerial call to action von Nagle, Tadhg, Redman, Tom, Sammon, David

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AI and Statistics: Perfect Together von Redman, Thomas C, Hoerl, Roger W

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To Fight Pandemics, We Need Better Data von Davenport, Thomas H, Godfrey, A Blanton, Redman, Thomas C

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Customer Data and Privacy: The Insights You Need from Harvard Business Review von Review, Harvard Business, Morey, Timothy, Burt, Andrew, Moorman, Christine, Redman, Thomas C

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Data's Credibility Problem von Redman, Thomas C

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The notion of data and its quality dimensions von Fox, Christopher, Levitin, Anany, Redman, Thomas

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Customer Data and Privacy von Review, Harvard Business, Morey, Timothy, Burt, Andrew, Moorman, Christine, Redman, Thomas C

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HBR's 10 Must Reads on Leading Digital Transformation (with bonus article "How Apple Is Organized for Innovation" by Joel M. Podolny and Morten T. Hansen) von Review, Harvard Business, Porter, Michael E, McGrath, Rita Gunther, Davenport, Thomas H, Iansiti, Marco

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Why Outsiders Trump Insiders (and Why They Shouldn't) von Redman, Thomas C

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How to Marry Process Management and AI von Davenport, Thomas H, Redman, Thomas C

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Comparison of Body Composition Measurement Techniques in College Wrestlers von Mayhew, Jerry, Arabas, Jana L, Schwegler, Timothy M, Redman, Thomas, Schutter, David, Clasey, Jody L

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Information quality research challenge: Predicting and quantifying the impact of social issues on information quality programs von Talburt, John, Williams, Therese L., Redman, Thomas C., Becker, David

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Put Your Data to Work in the Marketplace von Redman, Thomas C

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Data Quality (Poor Quality Data: The Fly in the Data Analytics Ointment) von Guess, Frank, Redman, Thomas

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