Insight Advisor is your intelligent assistant in Qlik Sense, providing AI-generated analyses and insights that are delivered in multiple forms through a variety of user experiences. It auto-generates context-aware analyses and insights based on your data and search criteria. It automates the creation and data preparation process, supports natural language interaction, and delivers advanced analytics for users to explore.
Qlik introduced the Hybrid Data Delivery Service at the end of June 2021 that automatically ingested on-premises data into your Qlik Cloud tenant, cataloged the data sets and transformed them into QVD’s that were ready for consumption by Qlik analytics apps. What’s more, those data ingest pipelines could be configured and scheduled through the Qlik Cloud UI without the need for hand coding or scripting. If you missed the news or need a refresher then click here for an in-depth review of the architecture and features.
However, our developers haven’t stood still since the launch of the new service and have been beavering away extending functionality, improving performance, and adding new data targets (more of which I’ll cover in a future post). With that in mind, the remainder of this article focusses on one feature in particular: Hybrid Data Delivery Service Event Auditing.
Our data integration enhancements include simplified data lake creation, improved data warehouse automation, and platform integrations. Changed data propagated to data lake landing zones can now be optionally viewed when current and transactionally consistent leading to accurate, real-time insights. We now add Databricks Delta Lakes on Google’s platform to our ever-expanding list of supported data lakes. With support for a significant number of entities, automated datamarts can now support more comprehensive analyses. A single user interface to track Compose workflows across lakes and warehouses eases management, while tight integration of ingestion processes from one or many Replicate data pipelines to transformation and provisioning processes automate and speed data delivery to consumers. Lastly, ingestion and transformation of semi-structured data within Snowflake bring in new data sources.
Your welcome. By now you might already have started to use alerting across your enterprise to aid in taking action in the business moment. We have extended intelligent data alerting to all Qlik Sense SaaS users! The full set of alerting features are now available for all SaaS user types including Professional, Analyzer and Analyzer Capacity – making it easier to drive adoption and expand insights!
We’re happy to announce the availability of QlikView Object Migration for Cloud. This free utility gives QlikView customers using the Qlik Sense Cloud Hub the ability to migrate server bookmarks from on-premises QlikView deployments to Qlik Sense Enterprise SaaS tenants to save you time and provide users with a more customized experience.
I would be lying ifI said that I wasn’t excited and a little nervous about our new release today because it’s been a while in the making. Months of planning and development have led to this point that truly marks a major event in both Qlik’s transformational journey to the cloud and for the next chapter in our data management strategy. Today our first data service is now generally available. WOOT!
Conversational analytics is the new form of self-service where technical ninja-skills are no longer required to derive insights from complex data sets.
Now with the emergence of conversational analytics and Natural Language processing engines like Qlik’s Insight Advisor Chat, users of all levels can interact with data naturally by asking questions in their own words and receiving answers and chart suggestions instantly.