Prerequisite: None
Business analysts and BI professionals are accustomed to reporting on organizational performance. By now, most people are familiar with the use of BI tools and OLAP to identify exceptions and answer basic questions.
The challenge for many businesses is that new questions require new ways of looking at data. Reporting and OLAP techniques are designed to explain past or current activity, and for situations where the types of questions are known. These techniques can’t be used to understand complex relationships, explore large volumes of detailed data, or predict future activity.
Data mining (including statistical methods, visualization, and text analytics) provides the means to accomplish tasks not possible with basic BI tools and spreadsheets. These advanced analytics are often not used because of their assumed complexity and cost. The truth is that many techniques can be applied easily, and often with relatively inexpensive—sometimes free—tools.
This half-day course will not only satisfy your curiosity, but will also give you a hands-on overview of how you can apply data mining techniques in your current job and how this will help your organization become an “analytical competitor.”
You Will Learn
- What data mining is and what it adds to your existing BI capabilities
- Data mining techniques and how they can be applied
- The value of advanced analytics
- What tools are available on the market and what can be easily adopted
- How to get started with data mining
Geared To
- Data analysts; business analysts; anyone with a role in definition and development of business analytics