Adrian Cartier, Ph.D., Director of Data Science, Bayer, will demystify data science and unpack its tangible business value. Using his many years of experience building a data-driven culture across Monsanto and now Bayer Crop Science, Adrian highlights the focal points for not only creating a data strategy, but more importantly driving a sustainable digital (and business!) transformation.
In his presentation, Adrian will walk you through the imperative steps to get there. Foremost, you must understand the key high value decisions across your enterprise. What is your mission and vision, your challenge? There are many tools in the toolbox for data science. If you have a nail, use a hammer. But don’t buy a hammer, and then look for a nail. That is, apply data to key business decisions, which ultimately will drive substantial outcomes for the company.
Next, create a data strategy that centers around data as an asset for the company with data science unlocking its value. Get buy-in and create a community. After all, it takes a community to build sustainable robust data science products, including data scientists, software engineers, data engineers and business partners. They don’t all have to be data scientists, but they should be able to access, understand and apply the data to solve their challenges and develop solutions. This community can also support user-centered data science, that is, identify and improve the user experience and user adoption to get the most value out of the output, whether it’s a robust model, a critical insight or a digital product.
Be ready to fail fast and learn from it. That’s a good lesson. Always remember, data science is science: it should be tracked, measured, and repeatable. Also remember to identify quick wins to show measurable value.
And think how your enterprise can make an impact now, as well as the potential that lies in the future. While once a cottage industry, data science unleashed will become a value-added force in any industry.