With more and more organizations recognizing Data Science and Machine Learning as a business imperative, it’s important to consider how to drive from experiments and proofs of concept to deliver repeated business value through operationalized analytics.
Many companies are already investing heavily in using data science approaches to understand their business better. Others are in the early stages of learning, and keen to reap benefits quickly. Whatever your position, it’s vital to consider how the insights generated by data science and machine learning teams will be shared with the business decision-makers. Operationalizing your analytics solutions ensures your teams constantly have the most up-to-date insights, based on the best interpretation of the data.
In this recorded webcast Thorogood Consultants Liz McCreesh and Andrew Kennedy draw on examples of real deployments at enterprise customers to show how they’ve combined best-in-breed analytics engines such as Databricks and Azure with end user dashboards and reports to deliver business value by driving action.
