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Contenido proporcionado por Columbia University School of Professional Studies. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Columbia University School of Professional Studies o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Career Week - Managing Data Quality In Complex Organizations

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Manage episode 208344697 series 1368180
Contenido proporcionado por Columbia University School of Professional Studies. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Columbia University School of Professional Studies o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
This event was featured in Career Week 2018 (February 12-16). Successful organizations are increasingly data-driven. There is a correlation between how well firms manage data and how well they can adapt to the realities of the new marketplace. Often overlooked in this process is the importance of foundational requirements necessary for any organization to effectively manage (and leverage) their data. This session will examine the capabilities, principles and practices of data “content” management as a trusted factor of input into business intelligence and analytics. Introduction: Diane Spizzirro, Director of Career Management, Columbia SPS Moderator: Michael Atkin, Managing Director, EDM Council and Faculty, M.S. in Applied Analytics Program, Columbia SPS Julia Bardmesser, Head of Data Architecture and Analytics, Voya Christine Chang-Cerwinski, Executive Director, Data Governance, Morgan Stanley Pieter De Leenheer, Founder - VP, Research & Education, Collibra Aniket Deosthali, Director, Analytics, Bonobos Mark Flood, Research Principal, Office of Financial Research in the U.S. Department of the Treasury Steve Hoberman, President/Conference Chair, Technics Publication/Data Modeling Zone Jodi Morton, Vice President, Data Governance and Management, Freddie Mac
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35 episodios

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Manage episode 208344697 series 1368180
Contenido proporcionado por Columbia University School of Professional Studies. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Columbia University School of Professional Studies o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
This event was featured in Career Week 2018 (February 12-16). Successful organizations are increasingly data-driven. There is a correlation between how well firms manage data and how well they can adapt to the realities of the new marketplace. Often overlooked in this process is the importance of foundational requirements necessary for any organization to effectively manage (and leverage) their data. This session will examine the capabilities, principles and practices of data “content” management as a trusted factor of input into business intelligence and analytics. Introduction: Diane Spizzirro, Director of Career Management, Columbia SPS Moderator: Michael Atkin, Managing Director, EDM Council and Faculty, M.S. in Applied Analytics Program, Columbia SPS Julia Bardmesser, Head of Data Architecture and Analytics, Voya Christine Chang-Cerwinski, Executive Director, Data Governance, Morgan Stanley Pieter De Leenheer, Founder - VP, Research & Education, Collibra Aniket Deosthali, Director, Analytics, Bonobos Mark Flood, Research Principal, Office of Financial Research in the U.S. Department of the Treasury Steve Hoberman, President/Conference Chair, Technics Publication/Data Modeling Zone Jodi Morton, Vice President, Data Governance and Management, Freddie Mac
  continue reading

35 episodios

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