Introduction to Looker and Google Analytics 4.pptx

Introduction to Looker and Google Analytics 4.pptx

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  Introduction to Looker andGoogle Analytics 4 Kuldeep
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  Lack of etiquetteand manners is a huge turn off. KnolX Etiquettes ▪ Punctuality Join the session 5 minutes prior to the session start time. We start on time and conclude on time! ▪ Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter. ▪ Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call. ▪ Avoid Disturbance Avoid unwanted chit chat during the session.
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  Agenda 1. Looker ▪ Introductionto Looker ▪ Advantages of Using Looker ▪ Disadvantages of Using Looker ▪ Use Cases for Looker 2. Google Analytics 4 (GA4) ▪ Introduction to GA4 ▪ Advantages of Using GA4 ▪ Disadvantages of Using GA4 ▪ Use Cases of GA4 3. Demo
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  LOOKER 01
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  Introduction to Looker ▪Looker is a business intelligence and data analytics platform designed to help organizations make informed decisions through comprehensive data exploration and visualization. ▪ Key Features: − Data Exploration − Visualization − Collaboration − Real-time Analytics
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  Advantages of UsingLooker ▪ User-Friendly Interface: − Intuitive dashboards and drag-and-drop functionality. ▪ Centralized Data: − Single source of truth, ensuring data consistency. ▪ Real-Time Analytics: − Access to real-time data for quick decision-making. ▪ Collaboration: − Foster collaboration through shared dashboards and reports. ▪ Scalability: − Scales with your business, adapting to growing data needs.
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  Disadvantages of UsingLooker ▪ Learning Curve: − Initial learning curve for users unfamiliar with BI tools. ▪ Cost: − Licensing and implementation costs. ▪ Dependency on Data Quality: − Relies on the quality of input data for accurate insights. ▪ Customization Complexity: − Advanced customization may require technical expertise.
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  Use Cases forLooker ▪ Sales Analytics: − Visualize sales performance, track trends, and optimize strategies. ▪ Marketing Optimization: − Analyze campaign effectiveness, customer behavior, and ROI. ▪ Operations and Efficiency: − Monitor and improve operational processes for efficiency. ▪ Financial Reporting: − Generate financial reports and forecasts for informed decisions.
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  GOOGLE ANALYTICS 4 (GA4) 02
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  Introduction to GA4 ▪Google Analytics 4 (GA4) is the latest version of Google's web analytics platform, providing advanced features for tracking and analyzing user interactions with websites and apps. ▪ Key Features: − Event-based tracking − Cross-platform user analysis − AI-powered insights
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  Advantages of UsingGA4 ▪ Event-Based Tracking: − More flexibility in tracking user interactions ▪ Cross-Platform Analysis: − Tracks user behavior across websites and apps ▪ Enhanced User Journey Analysis: − Provides a more comprehensive view of user journeys ▪ AI-Driven Insights: − Utilizes machine learning for actionable insights
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  Disadvantages of UsingGA4 ▪ Transition Challenges: − Transition from Universal Analytics may pose challenges ▪ Learning Curve: − Users may need time to adapt to the new interface ▪ Limited Historical Data: − GA4 may not have historical data from Universal Analytics ▪ Customization Complexity: − Advanced customization may require technical expertise
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  Use Cases ofGA4 ▪ E-commerce Analysis: − Track user journeys for e-commerce platforms ▪ App User Engagement: − Analyze user engagement within mobile apps ▪ Content Performance: − Evaluate the performance of website content ▪ Marketing Campaign Attribution: − Attribute conversions to specific marketing campaigns
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  DEMO 03
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  Thank you