--- title: Best Practices to Encourage Collaboration and Reusability in Data Science (Panel Discussion) description: Hear how leaders in data science and analytics across industries are working to encourage collaboration and reusability in data science. --- [![Dataiku_logo_color](https://pages.dataiku.com/hs-fs/hubfs/Dataiku_logo_color.png?width=100&name=Dataiku_logo_color.png)](https://www.dataiku.com/) - [Product](https://www.dataiku.com/dss) - [Overview](https://www.dataiku.com/dss/) - [Features](https://www.dataiku.com/dss/features/connectivity) - [Connectivity](https://www.dataiku.com/dss/features/connectivity/) - [Data Wrangling](https://www.dataiku.com/dss/features/data-wrangling/) - [Machine Learning](https://www.dataiku.com/dss/features/machine-learning/) - [Data Mining](https://www.dataiku.com/dss/features/data-mining/) - [Data Visualization](https://www.dataiku.com/dss/features/data-visualization/) - [Data Workflow](https://www.dataiku.com/dss/features/data-workflow/) - [Realtime Scoring](https://www.dataiku.com/dss/features/realtime-scoring/) - [Code or Click](https://www.dataiku.com/dss/features/code-click/) - [Collaboration](https://www.dataiku.com/dss/features/collaboration/) - [Deployment](https://www.dataiku.com/dss/features/deployment/) - [Enterprise Readiness](https://www.dataiku.com/dss/features/enterprise-readiness/) - [Plugins](https://www.dataiku.com/dss/plugins/) - [Samples](https://www.dataiku.com/dss/samples/) - [Technology](https://www.dataiku.com/dss/technology/) - [Editions](https://www.dataiku.com/dss/editions/) - [Solutions](https://www.dataiku.com/solutions/) - [Use cases](https://www.dataiku.com/solutions/#use-cases) - [Industries](https://www.dataiku.com/solutions/#industries) - [Departments](https://www.dataiku.com/solutions/#departments) - [Customers](https://www.dataiku.com/solutions/#customers) - [Learn](https://www.dataiku.com/learn/) - [Overview](https://www.dataiku.com/learn/) - [User Guide](https://www.dataiku.com/learn/guide) - [Reference Doc.](https://doc.dataiku.com/) - [Q & A](https://answers.dataiku.com/) - [What's new](https://www.dataiku.com/learn/whatsnew) - [Support](https://support.dataiku.com/) - [Resources](https://www.dataiku.com/resources/) - [Overview](https://www.dataiku.com/resources/) - [White Papers](https://www.dataiku.com/resources/whitepapers/) - [Reference Doc.](https://doc.dataiku.com/) - [Webinars](https://www.dataiku.com/resources/webinars/) - [Success Stories](https://www.dataiku.com/resources/success-stories/) - [Company](https://www.dataiku.com/company/) - [Overview](https://www.dataiku.com/company/) - [Our Story](https://www.dataiku.com/company/our-story/) - [Team](https://www.dataiku.com/company/team/) - [Careers](https://www.dataiku.com/company/careers/) - [News](https://www.dataiku.com/company/news/) - [Events](https://www.dataiku.com/company/events/) - [Customers](https://www.dataiku.com/company/customers/) - [Partners](https://www.dataiku.com/company/partners/) - [Blog](https://www.dataiku.com/stories/blog) - [All](https://www.dataiku.com/stories/blog) - [Big Data](https://dataiku-2123903.hs-sites.com/blog/topic/big-data) - [Business](https://dataiku-2123903.hs-sites.com/blog/topic/business) - [Corporate](https://dataiku-2123903.hs-sites.com/blog/topic/corporate) - [Data](https://dataiku-2123903.hs-sites.com/blog/topic/data) - [Data Preparation](https://dataiku-2123903.hs-sites.com/blog/topic/data-preparation) - [Data Science](https://dataiku-2123903.hs-sites.com/blog/topic/data-science) - [Data Visualisation](https://dataiku-2123903.hs-sites.com/blog/topic/data-visualisation) - [Data Visualization](https://dataiku-2123903.hs-sites.com/blog/topic/data-visualisation) - [Event](https://dataiku-2123903.hs-sites.com/blog/topic/events) - [Events](https://dataiku-2123903.hs-sites.com/blog/topic/events) - [Interview](https://dataiku-2123903.hs-sites.com/blog/topic/interview) - [Machine Learning](https://dataiku-2123903.hs-sites.com/blog/topic/machine-learning) - [Opinion](https://dataiku-2123903.hs-sites.com/blog/topic/opinion) - [Technology](https://dataiku-2123903.hs-sites.com/blog/topic/technology) - [Visual Data Analysis](https://dataiku-2123903.hs-sites.com/blog/topic/visual-data-analysis) - [Contact us](https://www.dataiku.com/dss/contact/) - [Get Started](https://www.dataiku.com/dss/trynow/) ## Best Practices to Encourage Collaboration and Reusability in Data Science   Hear how leaders in data science and analytics across industries are working to encourage collaboration and reusability. This panel discussion is hosted by Kenneth Sanford, Lead Architect at Dataiku, with: - Gaelle Periat, Data & BI Manager, Ubisoft - Chris Kakkanatt, Lead Data Analytics at Pfizer - Jeremy Salfen, Director of Data at Kickstarter - Chris Ryan, Tech Lead at The Muse Our conference attendees and speakers aren't the only ones who have seen analytics transform the enterprise; the research firm IIA (International Institute for Analytics) have concretely tied analytics maturity to company performance. Read the [following report](https://pages.dataiku.com/how-analytics-maturity-powers-company-performance) to find out how. 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