Fundamentals of Web Analytics Technology
Instructor: Tony Byrne: Founder, CMS Watch
Length: 4 modules, 4 hours
Cost: $395 per student
Based on our heralded Web
Analytics Research, this course will provide you with a thorough grounding in Web Analytics technology. It will enable you to identify your own requirements more clearly, understand how various Web Analytics services work, and differentiate among alternate architectures and approaches.
For more details, including learning objectives, download the course Fact Sheet (PDF).
Outline
Modules included in this course:
- Web Analytics Business Case & Scenarios
- Core Architectures & Technical Services
- Web Analytics Business Services
- Selecting & Implementing Web Analytics
Who should take this course
- Business Intelligence and Data Warehouse specialists --
to learn what data can be gleaned (and how) from the web side of the enterprise
- Website Managers -- to learn how to contrast different
approaches avoid common pitfalls in implementing and optimizing web analytics
technology
- Web and Online Marketing Managers -- to understand how
the varying analytics technologies really work, and how to better leverage
marketing value, including how best practices for exploiting emerging oppotunities
in video, mobile, and Web 2.0 analytics.
- Enterprise data architects -- to understand trade-offs
and learn best practices in analytics architectures and systems integration
- IT managers -- to understand the marketplace, as well as
key security and scalability concerns
- Webmasters -- to learn what additional value they could
receive -- at pitfalls to encounter -- upgrading from a free web analytics
service
- Marketing Directors -- to articulate the business case
for improved analytics and confidently discuss options with tech teams
- Consultants -- to understand how to improve web analytics
implementations
- Anyone considering implementing or upgrading existing web
analytics technology
What's not covered
- Training in how to implement any individual analytics tool.
- Detailed evaluations of specific products (consult our Web Analytics Research instead)