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Version: 1.7.1

Delivery

Data stakeholders are responsible for monitoring and interpreting business metrics. These individuals may span across different departments such as marketing, finance, and operations, and may not all possess a technical background. One of their key challenges is detecting when shifts in data reflect real changes in business operations and outcomes. Often, these shifts go unnoticed until it's too late to respond effectively. Another issue is ensuring that the right users are alerted in a timely and relevant manner. Without targeted, contextual alerts, important insights may not reach the decision-makers who can act on them.

How can GX Cloud help solve these problems?

GX Cloud can be implemented to surface valuable business insights automatically. By integrating GX after data transformation is complete, but before the validated data reaches BI tools, organizations can monitor for significant changes in business metrics and generate alerts accordingly. For example, if a given product suddenly sees much higher sales day over day, this insight should be automatically flagged and shared with the marketing and finance teams. This enables them to investigate the underlying cause, such as a successful campaign or seasonal trend, and make informed decisions based on timely data.

An example showing that daily row counts are consistent until a spike on the last day, indicating a data anomaly.

Beyond anomalies, organizations can also use trends in the validation results to gain insights. For example, having confidence in accurate inventory and distribution data can help with supply chain management, reducing the risk of over- or understocking goods, thereby decreasing operational costs over time.

ExpectAI performs deep analysis on a given Data Asset to set Expectations based on patterns in the data. For example, ExpectAI might suggest a Custom SQL test that average processing days for order fulfillment should be roughly proportional to the quantity of items shipped.  Outliers from the generally observed trend will be flagged for investigation.