Building a Culture of Analytic Excellence

Mar

25

1:00 - 2:30 p.m. ET

Do you have a strategy for building analytic excellence in your organization? 

Your competitors do.  If your industry or organization has a high level of process or product innovation, you need analytics to remain competitive in today’s marketplace. 

Join us for discussions exploring real-world examples from organizations with analytic cultures that let them excel, examining how they use collaborative analytics throughout the enterprise to solve engineering, development and manufacturing problems faster, sustain innovation and maintain a competitive edge.

Featured Keynote

Loren Perelman, Statistically Speaking

Loren Perelman

VP of Science, Riffyn

If you want to enable a stronger analytic culture, data literacy is imperative. Curiosity helps, too. But what are the elements that enable faster, better and more efficient science? Loren Perelman will share his perspective on the topic, from years of experience at science and manufacturing organizations.

Panel Discussion

The best organizations spread awareness and knowledge of analytics to everyone who needs it. They do more than talk about being a data-driven company; instead, they strive to put data analytics at the heart of all decision making. They embrace both traditional and modern methods of analysis, such as statistically designed experiments and machine learning, to generate and apply new knowledge. And they build infrastructure that supports the appropriate use of analytics by all job functions. Hear examples from innovative organizations during a discussion with:

  • Loren Perelman, VP of Science, Riffyn
  • Andre B. Argenton, Vice President Core Research and Development, Dow
  • Kumar Subramanyan, Director of Data Sciences, Unilever

What will you learn?

For an organization to develop a culture of analytics, it needs a shared vision, constancy of purpose and continual reinforcement. It needs software tools that can facilitate, even encourage, the use of analytics and to train people in their effective use. This fosters adoption and engagement, makes decision making more objective and transparent, and promotes data-driven collaboration within and between teams and stakeholders.

You'll gain a better understanding of:

 

  • The key ingredients needed to create and promote a data-driven culture.
  • The basic steps required to use data effectively, whether for solving problems or for improvement and innovation.
  • Strategies for removing common bottlenecks to generating and sharing new knowledge.
  • The importance of visualization to make results more interpretable and easily communicated.
  • How to use technologies that help surface problems worth solving and make the right data available to drive solutions.
  • The crucial role of training programs and reward systems in developing a facilitative culture that can drive change.

Meet the Speakers

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