Introducing Qlik conversational analytics in Microsoft Teams

With the new Qlik app for Microsoft Teams, you can easily chat with Insight Advisor, Qlik’s intelligent AI assistant, to explore data using natural language directly within Microsoft Teams. Insight Advisor Chat

You can now ask questions through individual or group chat and Qlik will respond with AI-generated data visualizations and insights, using data from across your Qlik apps. And because it’s Microsoft Teams, you can collaborate with others in real-time, collectively making decisions using the insights generated by Qlik. Insight Advisor within Microsoft Teams provides a powerful new way to help more people find the right answers, make better decisions and collaborate together where and how they work.

Look for the Qlik app in the Teams App Store to get started.

Exploring app content with conversational analytics in Microsoft Teams

Accessing Insight Advisor Chat through Microsoft Teams

Added support for Amazon Bedrock

Quickly and easily select and connect to a menu of foundational LLMs hosted by BedRock, Amazon’s fully managed service that supports foundation models.

With this capability, users can take advantage of the rich content offered by generative AI in a variety of ways, such as:

• augmenting analytics with natural language insights

• synthesizing and combining third-party data into existing data models

• allowing users to ask questions in real-time using data from Qlik

The following Amazon Bedrock connectors have been added:

• AI21 Labs

• Amazon Titan

• Anthropic

• Cohere

Amazon Bedrock analytics sources

Monitor views: Lineage and impact filtering

Monitor views now provides more granular views into tasks. You now have the ability to filter tasks within a data pipeline, based on impact analysis or pipeline lineage.

• Lineage filtering: allows you to select a task and automatically include any related upstream tasks. For example you could select a Data Mart task and see all the upstream tasks that impact the health of that data mart.

• Impact filtering: allows you to select a task and see all downstream tasks in the Monitor View. For example, you could select an SAP Landing task and see all other tasks impacted by the SAP landing task.

These filters can be saved as part of a Monitor view definition. Within these filtered views, it is possible to do further filtering by errors as an example, to analyze how a task error impacts upstream or downstream data pipeline components.

Monitoring your data tasks

Qlik Cloud Data Integration: Support for three new replication targets

Last week, we launched the ability to replicate data directly from supported data sources to an on-premises or cloud-based SQL Server.

This release extends that capability by introducing support for three new targets:

• MySQL: On-premises, Amazon RDS, Google Cloud, and Microsoft Azure
• PostgreSQL: On-premises, Google Cloud, and Microsoft Azure
• Oracle: On-premises

Setting up connectivity to MySQL target

Setting up connectivity to PostgreSQL target

Setting up connectivity to Oracle target

New automation templates: Automatically install and maintain the Qlik Cloud Monitoring apps

The Qlik Cloud Monitoring apps are a set of community supported Qlik Sense apps which give customers insights into their tenants. Two new automation templates now automate the process of installing and maintaining these apps, helping you stay up to date and on top of the App Analyzer, Entitlement Analyzer, Reload Analyzer, and Access Evaluator.

Read more on the community