Define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. Practice extract, transform, load (ETL) techniques and work with different data models and analytics tools. Learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data. Highlights
Defining value and tying analytics to value-driven business cases
Understanding the characteristics of data and how they can be leveraged to gather insights from information
Identifying project constructs for data analytics
Determining different types of data with which analysts will be expected to interact
Profiling data for accurate analysis initiatives
Understanding tool capabilities for working with data
Cleansing data with appropriate tools to increases analytics accuracy