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The Web analytics practice has evolved rapidly as the landscape of Internet usage and devices continues to broaden. Today businesses collect an unprecedented amount of data about customers to seek deeper, more actionable insights. Many companies are integrating their Web analytics data with data from other sources and performing analytics to understand customer behavior and enable highly individualized marketing.
This 3 hour online training course provides an overview of Web analytics, as well as analytics techniques and applications that are suitable to the context of Web data. Theory and practice are illustrated by several real-life cases and demonstrations.
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You will:
- Gain a deep understanding of Web analytics as well as data about customer interactions with your organization online
- Identify and interpret conventional and emerging Web analytics measurements
- Understand the Web data collection and integration techniques and their potential applications and limitations
- Distinguish useful data from the "noise"
- Learn how to gain actionable insights for online marketing efforts with visitor-centric techniques such as profiles, patterns, goals, and outcomes
- Learn what tools are needed on a Web analytics workbench
This course is geared towards:
- BI professionals or data analysts with experience in other areas of customer data who are in the process of incorporating Web data into their warehouses or models, or developing custom BI for Web analytics
- CRM, marketing, sales and other business leaders who want to improve their understanding of Web analytics data and how actionable insights can be gleaned from it
- Technology and information leaders, managers, and professionals who want to learn more about current trends and broaden their understanding of Web analytics
BA-05 Web Analytics
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Module 0. About the Course (7 min)
Module 1. The Business Case for Web Analytics (18 min)
- Overview
- Value Density of Data
- Before Web Data was “Big”
- Data Value Increases with Volume
- Web Data is Too Valuable to Ignore
- Web Analytics “Moneyball”
- Analytics Needs of a Modern Business
- Web Analytics Health Check
- Building a Business Case
- Example Problem Statements
- Example Benefits
- Example of Scope
- Example of Dependencies
- Example Stakeholders
Module 2. Anatomy of Web Analytics (29 min)
- Overview
- Page Views
- Sessions
- Summary
Module 3. Dimensions and Metrics (29 min)
- Overview
- Dimensions Versus Metrics
- Metrics as Dimensions
- Common Dimensions and Metrics
- Summary
Module 4. Visualizations (26 min)
- Overview
- Self Service Web Analytics
- Shrinking Business Proximity
- Business Consonance
- Cooperative Analytics Workflows
- Visualizations
- Summary
Module 5. Web Analytics Setup (25 min)
- Overview
- Create a Google Analytics Account
- Tracking Code Snippet
- Tagging Pages
- Define Goals
- Back Up Your Data
- Mobile Visitors
- Disseminating Reports
- Configuring Google Analytics
- Summary
Module 6. Taking the Next Steps (12 min)
- Guidelines for Getting the Most
- Key Performance Indicators
- KPI Examples Parts 1 & 2
- Google Universal Analytics
- Web Analytics from Sensors/IoT
- Integrated Web Analytics
- Web Analytics Additive to Other Data
- Summary
Module 7. Advanced Integration of Web Analytics (38 min)
- Module Overview
- What is Hadoop?
- Hadoop and Data Integration
- Hadoop and Data Integration Use Cases
- Hadoop Tools for Data Integration
- Real Life Example
- Real Life Example: Relational Source
- Review: Analytics Needs of a Modern Business
- Real Life Example: Web Log
- Real Life Example: Simple Integration
- Real Life Example: Other Sources, Coupon Log
- Real Life Example: Other Sources, Recommendation Log
- Real Life Example: Multiple Integrations
- Real Life Example: Increasing Performance
- Integrated Web Analytics: Types of Analysis
- Integrated Web Analytics: Methods of Analysis
- Summary
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Click –here- to download a more detailed outline of this course.
This exam tests knowledge and understanding of basic concepts, principles, and terminology of Web Analytics.
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You will be tested in these areas:
- Business value of web data and web analytics
- Scope and dependencies of web analytics
- The role of page views and sessions
- Metrics and dimensions
- Visualization and web analytics
- Web analytics setup
- Web analytics integration
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Additional Information
Number of Questions: 20
Time Limit: 40 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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