The capacity to swiftly and properly evaluate vast volumes of data is crucial in the field of marketing. Having access to this data may assist marketing businesses in making more informed decisions and achieving better outcomes, whether it concerns customer data, sales data, or marketing campaign data. BigQuery from Google Cloud can help with that. In this blog post, we will explore the benefits of using Google Cloud's BigQuery for marketing companies and nowadays Evonence is working with Google Cloud's BigQuery to create better aggregates and results.

1. Cost-Effective: Marketing firms can simply store and analyze enormous amounts of data with Google Cloud's BigQuery without the need for pricey gear or software. This can drastically lower the expenses of managing and analyzing data, enabling marketing businesses to more wisely use their resources. BigQuery allows you to scale up or down as needed and only pay for the resources you use, automatically optimizes your queries to minimize costs and has no upfront costs or long-term commitments and provides a comprehensive data analytics platform.

2. Scalability: The cloud-based infrastructure of BigQuery enables marketing firms to grow their data storage and processing capacities as necessary. BigQuery is able to manage the additional strain with ease as data volume increases, guaranteeing that marketing firms have quick access to the data they want. BigQuery is a highly scalable data warehouse that can handle large amounts of data and high query volumes. It is designed to automatically scale up or down based on the demand and workload, ensuring that the system can handle any amount of data processing needs.BigQuery is built on a distributed architecture that automatically distributes the processing load across multiple nodes.

3. Speed: BigQuery's potent processing engine can instantly evaluate massive amounts of data, enabling marketing businesses to make decisions more quickly and react to market developments more quickly. In the quick-paced world of marketing, where prompt decision-making may make all the difference, this quickness can be extremely crucial. offers fast query processing and analysis capabilities. It achieves this through a combination of advanced techniques like columnar storage, data compression, parallel processing, and automatic query optimization.

4. Real-Time Data Analysis: BigQuery offers real-time data processing, marketing firms have immediate access to the most recent information. This can be extremely helpful in circumstances where making quick decisions is essential, such during a marketing campaign or product launch. BigQuery's streaming data ingestion, automatic query optimization, scalability, real-time dashboards, and machine learning integration make it a powerful tool for real-time data analysis.

5. Data Visualization: BigQuery includes built-in data visualization tools that enable marketing companies to produce eye-catching dashboards and visualizations to better analyze their data and make decisions. These visualizations can also be shared with other stakeholders, such as clients or team members, to enhance cooperation and decision-making. It enables users to understand complex data and communicate insights effectively. It helps to identify patterns, outliers, and trends, and allows users to explore data interactively.

6. Machine Learning Capabilities: With the help of BigQuery's integration with Google's machine learning platform, marketing companies may employ machine learning algorithms to uncover more information about their data. For instance, machine learning algorithms can be used to spot trends in consumer behavior or find the most effective marketing efforts. make it a powerful tool for advanced analytics and predictive modeling. These capabilities enable users to build custom machine learning models without any prior machine learning knowledge, integrate machine learning into existing workflows, and preprocess data for machine learning.

7. Enhanced Security: BigQuery has cutting-edge security features like data encryption and access controls that assist marketing organizations in safeguarding their private information. This can be particularly crucial in sectors like healthcare or finance where data security is of utmost importance. BigQuery's security features enable organizations to store and analyze data with confidence, knowing that their data is protected against unauthorized access and malicious activity. Encryption, access controls, audit logging, data masking, and integration with Google Cloud security services are just some of the ways in which BigQuery enhances security.

This is an example of analyzing data obtained from an on-premises environment or services other than Google with Google Cloud / Google Workspace. Here we assume that data to be analyzed will be sent to BigQuery from on-premises and external SaaS services via Google Cloud Storage and Users. Cloud Function processes new files that are uploaded to Cloud Storage and saves form data detected in those files to BigQuery and Users can visualize the data stored in BigQuery by creating reports using looker by storing data in BigQuery.

Conclusion -

In conclusion, BigQuery from Google Cloud has a variety of advantages for marketing firms. BigQuery may assist marketing organizations in accessing the data they need to make more educated decisions and produce better outcomes, from cost-effectiveness to scalability, speed, and real-time data analysis. Furthermore, BigQuery is a potent tool for marketing firms wanting to acquire a competitive edge because of its machine learning capabilities and sophisticated security measures. Marketing organizations may stay ahead of the curve and accomplish their corporate objectives by utilizing the power of BigQuery.BigQuery is a robust and user-friendly platform that can help organizations of all sizes to gain valuable insights from their data. Its ease of use, scalability, and low cost make it an attractive option for businesses looking to manage and analyze large datasets without having to worry about infrastructure management.