Events are the key element of data.

Given the difficulty of deployment, monitoring and validation, effective management of these events can seem daunting.

This is where tagging plan governance comes in: a strategic approach to ensuring that the data generated by your events is accurate, secure and used to its full potential.

This article explores effective strategies for implementing robust data governance across the different phases of an event's lifecycle.

The events...

Events are specific interactions that users have with your websites, WebApps, etc.

These interactions can be tracked to understand how users engage with your platform (click on a button or link, submit a form, play a video, scroll, download...).

Each event generates data and contributes to the overall database, and when aggregated, these events can provide comprehensive information. Thus, the data collected will help to understand user behavior, preferences and trends through :

• Numbers and metrics such as page views, conversion rates, bounce rates, etc.
• Descriptive information such as user comments, session recordings, heat maps, etc.

When an event occurs, it is recorded and logged. This session entry usually includes various attributes such as the event time, event type, user ID and other contextual information.

The data...

By analyzing the data generated by events, you can obtain the following information:

• User engagement: by tracking events such as page views, video views and scroll depth, you can assess how engaged users are with your content.
  
• Conversion funnel: by tracking events related to the steps users take towards conversion (e.g., adding items to cart, starting payment, finalizing purchase), you can identify drop-off points and optimize the funnel.
  
• Patterns of user behavior: event analysis can reveal patterns such as which features are used most, when users are most active, and which paths users typically take on your site or application.

In summary, events and data :

By analyzing event data, you can make informed decisions to optimize the digital experience. For example, if the data reveals a high abandonment rate for a specific form field, you can modify the design of that field to make it more appealing to the user.

The correlation between events and data in digital analysis is fundamental.

Events are the elements that form the basis of data collection, and the data derived from these events provide usable information.

By effectively tracking and analyzing events, companies can optimize their digital platforms, improve user experience and achieve their objectives more effectively.

Why is tagging governance important for events?

The correlation between tagging plans and events is essential for effective digital analysis. The tagging plan provides the structure and guidance needed to track relevant events accurately and consistently. It ensures that all critical events are tracked, providing data to analyze user behavior, identify stopping points in the checkout process and measure the effectiveness of promotional banners.

The usual components of a tagging plan :

• Objectives: determine clear objectives for what tracking is intended to achieve (e.g. understand user behavior, measure conversion rates).
  
• Events to track: a detailed list of all user interactions to track (e.g. page views, clicks, form submissions).
  
• Data to be collected: specific data points to be collected for each event (e.g. event type, timestamp, user ID, page URL).
  
• Tagging specifications: technical details on how tags will be implemented on the digital platform.
  
• Technologies: the analysis tools to be used for data monitoring and analysis.

What else?

• Alignment and strategy: the tagging plan defines the event tracking strategy. It ensures that the events tracked correspond to the company's objectives and key performance indicators.
  
• Consistency and completeness: a tagging plan ensures that all relevant events are consistently tracked on the digital platform. It avoids gaps in data collection by systematically identifying and defining each event to be tracked.
  
• Data quality: the tagging plan specifies the data to be collected for each event, guaranteeing data accuracy, relevance and completeness.
  
• It also simplifies maintenance and updates, as the plan provides a clear reference of what is being tracked and why.
  
• Implementation tips: the tagging plan provides clear instructions to developers and analysts on how to implement event tracking.
  
• It also simplifies maintenance and updates, as the plan provides a clear reference of what is being tracked and why.
  
• Performance measurement: by defining the events to be tracked and the data to be collected, the tagging plan enables performance to be measured against precise indicators.
  
• Scalability and maintenance: a well-documented tagging plan facilitates the evolution of tracking efforts as the digital platform evolves. It also simplifies maintenance and updates, as the plan provides a clear reference of what is being tracked and why.

In short, tagging plans :

In digital analytics, a tagging plan serves as a blueprint for tracking user interactions, defining the events to be monitored and the data to be collected. Events such as clicks, form submissions and videos generate the data needed to analyze user behavior. The tagging plan ensures that tracking is aligned with business objectives, and is consistent and comprehensive, resulting in high-quality data. This structured approach enables accurate performance measurement and informed decision-making, facilitating optimization of digital platforms. In short, a well-designed tagging plan is essential for effective event tracking and valuable data insights.

The ideal tool for event tracking...

Given the importance of tagging plans, events and data to the performance of a digital platform, does it make sense in 2024 to manage tagging plans in Excel/Google sheets, Jira or other tools not designed for this purpose?

At Data On Duty, we don't think so.

Here's the usual tagging process, summarized in 24 steps.

Applying these 24 tasks manually is guaranteed to make mistakes!

Our recommendations:

• Organize regular workshops for all employees involved in events to improve their understanding of data governance practices and the importance of alignment and compliance.
  
• Use a tagging plan management platform that supports data governance by providing tools for data integration, quality control and lifecycle management. This platform must guarantee data consistency and accessibility at all stages.
  
• Use an automated solution to validate tag deployment accordingly and natively to your tagging plan without the need to write rules or other code.
  
• Monitor data collection and regression risks accordingly and natively to the tagging plan, without the need to write rules or other code.
  
• Secure data compliance with regulations at 4 critical points: collection, storage, transport and security.
  
• Set up intelligent alerts on anomalies, regressions, potential violations or non-compliance.
  
• Correct any detected problems in a timely manner to ensure continuous quality improvement. Data governance isn't a process you set up and forget about. It requires continuous evaluation and improvement.
  
• Data On Duty responds to these recommendations with DoD Governance Manager: the 1st automated and generative SaaS platform for tagging plans.

Data On Duty responds to these recommendations with DoD Governance Manager: the 1st automated and generative SaaS platform for tagging plans.

• We transform 22 of the 24 manual steps into 6 automated ones.
  
• The whole process takes a few hours or days, compared with several months with conventional tools.
  
• You get 100% accurate, relevant and compliant data for all your business needs.
  
• You regain control of your tracking and data, while retaining your digital stack.
  
• Your work is simplified and accelerated for all stakeholders, including agencies.
  
• Your operating costs for digital analysis are cut by up to 80% from Year 1.

By implementing a robust tagging plan governance strategy based on a generative tagging plan model such as Data On Duty, you can transform your messy, event-based data collection into a powerful resource.

Tagging plan governance gives you the means to ensure outstanding tracking, optimize your digital marketing efforts and achieve ongoing success.

So take back control of your tracking and data, unleash their potential and watch your digital business soar to new heights!