An introductory overview of analytics, from foundational principles to how and why to implement. Try it, Risk Free!
Analytics is a hot topic, but also a complex topic. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity – unstructured data, big data, social data, data streams, and more. Advanced analytics continues to expand with complex event processing, machine learning, cognitive computing, etc.
In the growing and evolving world of analytics we’re also experiencing a shift of roles and responsibilities. The “data things” that were once seen as IT responsibilities have become critical business skills. Analytics spans a continuum that encompasses IT departments, data scientists, data analysts, business analysts, business managers, and business leadership. It seems that everyone has a stake in analytics. Coordination, cross-functional analysis, data sharing, and governance all become important skills.
You Will Learn
- The foundational principles of analytics: statistics, visualizations, and business impact
- Variations and applications of analytics: business and data analytics
- The how and why of implementing analytics
- The fundamental concepts and practices of analytic modeling
- Those seeking an introductory overview of analytics wanting to understand, draw insights, and leverage data more effectively
- Business analysts, data analysts, data scientists and those who aspire to these roles
- Business leaders and managers seeking to understand business dynamics through analytics
- IT leaders and managers responsible to deliver and to support analytics initiatives
President, DM, CBIP
Larson & Associates
Deanne Larson is an active practitioner and academic focusing on business intelligence and data warehousing with over 20 years of experience. Dr. Larson completed her doctorate in management in information technology leadership. Her doctoral dissertation research focused on a grounded theory qualitative study on establishing enterprise data strategy. She holds project management professional (PMP) and certified business intelligence professional (CBIP) certifications. Larson attended AT&T Executive Training at the Harvard Business School in 2001, focusing on IT leadership. She is a regular contributor to TDWI publications and presents several times a year at conferences. Dr. Larson is associate faculty at American Public University and University of Phoenix in the United States.