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On this page
  • What will we learn on this article?
  • What are continuous metrics?
  • How does Joule provide this feature?
  • Use case examples
  • Business dashboards
  • Dynamic customer promotions

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  1. Concepts

Continuous metrics

Real-time metrics provide the ability to drive advance insights and use cases

PreviousBatch and stream processingNextKey Joule data types

Last updated 4 months ago

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What will we learn on this article?

This article explains continuous metrics and how they enhance advanced by integrating live metrics within stream processing.

You will learn how Joule uses DuckDB to generate, store and manage these metrics, with examples like business dashboards and dynamic customer promotions.

What are continuous metrics?

Combining live metrics within stream processing context provides a powerful tool to build advance use cases.

Functions such as:

  • ML model predictions

  • Analytic calculations

  • Complex rule alerting logic

can leverage calculated metrics within the stream processing context.

Continuous metrics are generated on a scheduled cycle using captured streaming events. These are stored in-memory for any stream process to use.

Stream metrics should not be confused with streaming analytics. Streaming analytics will perform insight creation, pattern detection, generate next best action or alert based upon a condition.

How does Joule provide this feature?

Joule embeds an in-memory high performance analytics database, , to provide the core analytical function.

The necessary supporting capabilities are provided with the following additional functions:

  • Scheduled metric generation

  • Table management

  • Metric priming and export

  • Data access API's

  • Event capture

Use case examples

The following use cases apply metrics in slightly different methods.

  1. Business dashboards calculates and distributes whereas

  2. Dynamic customer promotions adjusts customer purchase promotions based upon general buyer activity and live market conditions.

Business dashboards

Understanding intraday business activity is essential for various functions in today's competitive market.

By leveraging analytical insights and live metrics, businesses can shift from being reactive to applying proactive measures focused on the next best action.

Dynamic customer promotions

Dynamically adjusting promotions based on market conditions, inventory levels and customer buying behaviour can significantly impact product pricing.

Real-time metrics create a consistent approach for these scenarios by collecting and calculating key variables within a specific time frame.

play a crucial role in making this shift possible.

By combining with customer purchase history and intent, tailored promotions can be offered to customers.

use cases
Filtering
DuckDB
Metrics
in-motion metrics