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Discovery Agent

The Discovery Agent empowers business users to monitor changing data trends over time in scrollable feeds. With AI-assisted anomaly and outlier detection, the Discovery Agent simplifies how you can uncover key patterns in data, allowing you to take swift action on rapidly shifting trends that affect your organization.

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Use cases

In a world of constantly changing data, the Discovery Agent offers a way to spot trends and anomalies in time to take action on them. This is achieved by focusing on what has changed from one data refresh to the next, and then delivering the resulting insights in a format that is easy to scan.

In the past, trend analysis involved monitoring multiple applications for insights, acting only after uncovering trends. These trends can sometimes be difficult to find without spending large amounts of time performing complex analysis. Within this window of time, insights can be missed or addressed too late.

The Discovery Agent allows a more proactive approach in which insights are delivered continuously in the familiar form of a feed. This reduces the barriers to entry for advanced trend analysis and accelerates understanding of enterprise data.

Examples of specific use cases are:

  • Executives scan their feeds to view how sales and margins are changing over time, using insights to take action on critical issues.

  • Business analysts inspect their feeds for changes to global market performance.

  • Sales teams use their feeds to track opportunities for revenue, growth, and increased customer satisfaction.

Features

The Discovery Agent has the following features:

  • A simple in-application experience for configuring insight tracking, featuring intuitive design and concepts that are familiar to Qlik analytics developers.

  • Simple consumption of insights in the scrollable, familiar feed format.

  • Integration with Qlik Answers, making it easy to further explore insights using generate AI.

Workflow

  1. Application developer creates insight triggers

    An application developer creates insight triggers to control the insights that are generated for users.

    Working with Discovery Agent insight triggers

  2. Insights are generated as data changes

    Set up a reload schedule to update the data in the application on a regular basis. Insight triggers are evaluated when data changes. When noteworthy changes are found, they are presented in the feeds of users that have view access to the application.

    Refreshing analytics data

    Working in spaces

  3. Analysts inspect their feed

    Business users can open their feed from Qlik Cloud activity centers to review insights and use them to take data-driven action.

    Analyzing Discovery Agent feeds

Requirements

  • Your access to Discovery Agent is governed by the terms of your Qlik Cloud subscription. For more information, see the following, or contact your Qlik account representative:

  • The Qlik Cloud tenant needs to have cross-region data processing turned on in order for Discovery Agent to be available. For more information, see Enabling cross-region data processing.

  • Permissions control user access to Discovery Agent. These permissions are also only available for tenants with cross-region data processing turned on.

    For information about these permissions, see Administering Discovery Agent.

  • The Discovery Agent supports exploration of insights in Qlik Answers. The following requirements apply:

Discovery Agent capacities and limitations

Guardrails

Discovery Agent guardrails
Limit Value
Maximum number of insight triggers per application (including active and inactive) 50
Maximum number of breakdown dimensions per insight trigger 3
Maximum number of values that can be used per breakdown dimension 50
Maximum number of insight triggers per tenant 200

General limitations

These limitations apply to both insight triggers and feeds.

  • The Discovery Agent is available in English only.

  • The Discovery Agent does not support fine-grained access control. To work with insight triggers and feeds for an application, you need to be a member of the space with the required space permissions.

  • Insight triggers are not available for applications that use section access. Likewise, applications that use section access cannot generate insights in feeds.

Insight trigger limitations

These limitations apply to insight triggers.

Data volume requirements — insight triggers

Minimum and maximum data points per insight type
Insight type Aggregation period Minimum number of data points Maximum number of data points
Spike detection Year, quarter, month, week 4 50
Spike detection Day 7 365
Record high or record low Year, quarter, month, week 4 50
Record high or record low Day 7 365
Change in trend Year, quarter, month, week 20 50
Change in trend Day 20 365
Change in baseline Year, quarter, month, week 20 50
Change in baseline Day 20 365
Above model or below model Year, quarter, month, week 4 50
Above model or below model Day 7 365

Feed limitations

  • Insights in feeds expire after 90 days.

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