Worst Practices in Data Mining
Every day, organizations accumulate data from a variety of sources. Savvy enterprises fuel strategic decision-making with insights from data mining. After uncovering trends and patterns in vast amounts of data, they can build predictive models that help them reach their goals. But much can go wrong in the data mining process, even for trained professionals.
Data mining expert Dick De Veaux discusses engaging case studies from a range of industries to illustrate the potential dangers and mistakes that can frustrate problem-solving and discovery—and that can unnecessarily waste resources. You’ll learn how to avoid pitfalls like:
- Failing to define the actual problem.
- Underestimating the importance of data preparation.
- Dismissing the value of teamwork.
- Utilizing and drawing conclusions from bad data.
Finally, you’ll learn practical strategies for using the data you have to better anticipate the future, capture opportunities and avoid risks. Whether you’re seeking an analytics-based competitive strategy for your operational staff or are in search of analytics best practices, this on-demand webcast is for you.