Risks and Rewards of Data Analytics
Data analytics! Big data! Data science! Data mining! Predictive analytics! If you’ve heard these words countless times and in countless places but are still not sure what they mean – or how to use them – you’re not alone. Join Jefferson Wells on May 11 as our experienced data analytics team define common terminology, clarify the differences and similarities between data science principles, and explore their interdependences. You’ll gain a deep understanding of the standard activities and timelines for a typical data analytics project, including potential risks and critical success factors. All these concepts will be brought to life by two real-world use cases, enabling you to emerge from the session with a strong handle on best practices.