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We significantly simplify data analytics. You can unlock the potential hidden in your data with a cloud-native, serverless approach that decouples storage from compute and lets you analyze gigabytes to petabytes of data in minutes.
This allows you to remove the traditional constraints of scale, performance, and cost to ask any question of data and solve business problems. As a result, it becomes easier to operationalize insights across the enterprise with a single, trusted data fabric.
In order to achieve the goals for customer centricity, customer growth, and long-term focus on value, the company mentioned in this Private eCommerce case opted to leverage the functionality of Google Marketing Platform together with Google Cloud Platform to test and implement strategies that would allow for improved targeting, ease of activation, and insights on marketing performance. Resulting in better customer experiences and lifting Return on Investment significantly. The company’s new Marketing Cloud in Google Cloud, also called Customer Data Platform, has enabled them to seamlessly develop intelligent tooling for optimizing and deploying audiences in campaigns, with the ability to actively monitor and measure within the same environment.
With this same environment you can for example:
Looking at the Private eCommerce Case, the ML model automations include:
We support many model types, including deep neural networks, time series analysis, K-means clustering, and linear and logistic regression. Read here how it works and here how we used Big Query ML for predicting conversion intent.
For custom AI we may use Vertex AI components and Notebooks.
For analytical use cases we are skilled working with:
BigQuery Omni allows executing queries securely on other public clouds with one interface. Anthos hybrid and the multi-cloud platform allow to build, deploy, and manage the BigQuery query engine on multiple clouds.
The kind of tooling and way of developing to choose depends on the required time constraints, available budget, technical requirements, and the skills present.
With the ease of configuration, these processes run effectively with continuous improvement, allowing you, and in the Private eCommerce Case, the ability to test and learn quickly, scale to new markets easily, and deploy your strategies for customer growth and profitability effectively.