Digital marketing agencies have a strong command of digital analytics tools like Google Analytics and Adobe Analytics, but these tools have limitations when it comes to complex, customized analyses. To perform these types of analyses, the data needs to be extracted, cleaned, structured, and prepared for reports and machine learning.
The Importance of Big Data Engineering: The importance of big data engineering and its role in preparing data for analysis.
This is where data engineering and BI experts come in. With their expertise in big data engineering, data cleaning, structuring, visualization, and machine learning, they can complement the services offered by digital marketing agencies and provide enhanced value to clients.
Big data engineering is crucial in preparing data for analysis. Digital marketing agencies may have extensive web analysis experience, but they may not have the necessary expertise in big data engineering to handle large volumes of data or to extract data using APIs. Data engineering and BI experts can help agencies with data extraction, cleaning, structuring, and storage, ensuring accurate and reliable analyses.
The Need for Data Cleaning and Structuring: The importance of data cleaning and structuring in ensuring accurate and reliable analyses.
Data cleaning and structuring are also crucial in ensuring accurate and reliable analyses. Digital marketing agencies may lack the expertise in data cleaning and structuring to ensure that the data is accurate, consistent, and reliable. Data engineering and BI experts can help agencies with data cleaning and structuring, ensuring that the data is accurate and reliable for analysis.
The Benefits of BI Reporting for Early Detection of Tagging Implementation Problems
Digital marketing agencies are often responsible for implementing and configuring Google Analytics for their clients’ websites. However, it’s not uncommon for implementation or data collection issues to arise, leading to inaccurate or incomplete data. This is where BI reporting comes in handy. By implementing BI reporting alongside Google Analytics, agencies can quickly check and ensure proper implementation and data collection. BI reporting can flag and highlight missing data, duplicates, and other data anomalies, helping with the early detection of tag implementation issues. This can lead to improved data accuracy and faster resolution of data problems, ultimately leading to better decision-making for clients.
Visualization and Reporting: How data engineering and BI experts can enhance digital marketing agencies’ visualization and reporting capabilities.
Visualization and reporting are also critical components of digital analytics. Data engineering and BI experts can help digital marketing agencies enhance their visualization and reporting capabilities, creating customized reports and visualizations that provide insights and value to clients.
Machine Learning for Personalization
Machine learning can also be used for personalized recommendations and targeted marketing. Data engineering and BI experts can help digital marketing agencies leverage machine learning to provide personalized recommendations to clients, increasing engagement and conversions.
The Benefits of Collaboration
Collaboration between digital marketing agencies and data engineering and BI experts can provide numerous benefits. By partnering together, agencies can expand their capabilities and provide enhanced services to clients, while also reducing risks and increasing efficiency.
Conclusion
In conclusion, data engineering and BI experts can complement the services offered by digital marketing agencies and provide enhanced value to clients. By collaborating together, agencies can expand their capabilities, reduce risks, and provide personalized, data-driven insights and recommendations to clients.
*the article has been written with the assistance of ChatGPT and the image has been generated using Midjourney
