The natural language processing is impressive. I can ask questions in plain language and get relevant answers quickly, which is very user-friendly.
Sometimes, the responses can lack depth. I expect more detailed analyses from Ana for complex queries.
TextQL allows our team to dive deeper into data without needing specialized skills. This has improved our analytics capabilities and allowed us to make more informed decisions.
The integration with Teams has been a game changer. We can collaborate on data analysis in real-time, which speeds up our workflows.
The initial setup was a bit complicated, especially when it came to configuring compliance settings. A more straightforward onboarding process would be beneficial.
TextQL helps us manage our data more efficiently. It reduces the time spent searching for data definitions and ensures our reports are based on accurate metrics, improving our strategic decisions.
TextQL's ability to generate visual representations of our data is fantastic! It has made presentations to stakeholders much more engaging and informative.
While I love the features, sometimes I feel there is a learning curve when trying to optimize the use of Ana's capabilities fully.
TextQL simplifies data analysis and reporting. It allows even non-technical team members to access insights, which has democratized data usage in our organization and fostered a data-driven culture.
I love the customizable workflows. It allows us to tailor the tool to our specific industry needs, especially in healthcare where compliance is critical.
The platform can be quite slow during peak hours, which affects productivity. It would be great to see improvements in speed and performance.
TextQL helps us maintain compliance and manage our data catalog effectively. This ensures that our team is always working with the most accurate and up-to-date information, which is vital in healthcare.
I appreciate how intuitive the interface is. Ana, the AI component, makes it easy to pull insights without needing deep technical skills. The integration with Slack has improved our team's collaboration significantly.
Sometimes the natural language processing struggles with complex queries, which can lead to misunderstandings in the data returned. I wish the AI was a little more robust in handling nuanced questions.
TextQL has streamlined our data analysis process. It helps us quickly generate reports and visualizations, saving hours compared to our previous manual methods. The ability to easily share insights via Slack has enhanced our decision-making.