How to Become a Data-Driven Manufacturing Organization: Exploring the top challenges and solutions with industry leader Dan Murray.

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Learn five new best practices to implement change and overcome the major challenges in becoming a data-driven manufacturing organization.

Business analytics continues to be a top priority and one of the fastest-moving areas in the manufacturing industry. But even with all the tools available, it’s still difficult to transition to becoming a data-driven organization. In this paper, industry expert Dan Murray shares his first hand experiences, major challenges and new ways for manufacturers to use data to manage crises and improve their operations.
Murray has more than 30 years in various leadership roles including CFO, CIO, COO, VP of Planning and VP of Operations. Now at InterWorks, he strives to provide the best possible data visualization solutions with fast, low-risk implementations.
This paper highlights his personal consulting experiences helping manufacturers overcome their many obstacles and bottlenecks with Tableau in a manufacturing environment.
In this whitepaper, you’ll learn about:

  • The most common manufacturing challenges
  • How to address clear needs and processes in crisis
  • Getting starting with small projects and small teams
  • How industry leaders identify root causes with data visualization
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Tableau really allows us to be able to get a good picture about the causes, the problems, and allows us to quickly identify and correct them to be able to improve our manufacturing processes.

À propos de Tableau

Tableau vous aide à transformer vos données en informations exploitables. Découvrez des possibilités d'analyse visuelle illimitées. Créez des tableaux de bord et effectuez des analyses ad hoc en seulement quelques clics. Partagez vos documents de travail avec les personnes de votre choix et marquez les esprits dans votre entreprise. Des grandes multinationales aux startups naissantes en passant par les TPE, tout le monde utilise Tableau pour voir et comprendre ses données.



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