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Chata.ai has always focused on building technology that facilitates conversational data experiences at the scale of the modern data warehouse. We believe this is at the core of what today’s data-driven organizations require to optimize business outcomes and facilitate growth.
Chata.ai’s integrations – AutoQL for Microsoft Teams and AutoQL for Microsoft Excel empowers non-technical business users with easy-to-use, self-service analytics by connecting them directly to their data source and making data accessible through natural language. These AutoQL integrations aim to streamline data-driven workflows and accelerate time-to-insights directly in the systems that modern business groups use most frequently.
AutoQL for Teams
At its core, Teams is a collaborative tool that enables business users to communicate asynchronously or synchronously to discuss business goals and drive work forward. Integrating AutoQL with Teams means business users can access and share their data from a centralized place (like a Teams channel) without switching contexts or relying on third-party tools for analysis. In essence, AutoQL brings data directly into the conversations already taking place.
With AutoQL integrated into Microsoft Teams, modern business teams can democratize data throughout the organization. This means insights are made accessible and discoverable to stakeholders in the right place at the right time.
With AutoQL, getting relevant data is as simple as asking a question in natural language. Through the dynamic translation of natural language into database query language, users receive instant data responses within Teams. These data responses can be further explored through easy-to-use features like drill-downs and filters or shared to channels that drive data-focused discussions. By extension, users can quickly uncover insights and make data-informed decisions more easily and often.
The goal of integrating AutoQL with Microsoft Teams is ultimately to empower everyone to make better decisions for their business. But enabling all users to access and analyze data directly from Microsoft Teams has far-reaching benefits beyond the end user’s ability to access their data.
Developer resources are not required, as AutoQL integrates directly into Teams and can be accessed from any shared channel with a single click. By democratizing data access, the strain on internal data teams and technical teams is also significantly alleviated. Instead of catering to an always-growing backlog of ad hoc reporting requests, business users get the data they need, right when they need it, without assistance from a business analyst (or equivalent). Instead of data teams acting as gatekeepers to the data, users can free up these resources for higher-value tasks and more complex analyses.
Learn more: AutoQL for Microsoft Teams
AutoQL for Excel
Excel is a software program used by businesses of all sizes to track key metrics, organize data, perform analyses, and make projections. Analyzing data and generating predictions is critical for business users. But getting the data they need, when and where they need it can be challenging.
Individuals need a fast and intuitive way to access and gather required data so that they can focus on business-boosting processes like analysis and forecasting. Integrating AutoQL with Microsoft Excel boosts productivity and efficiency by making data more readily available and accessible for all business users.
With the AutoQL Add-In for Microsoft Excel, business users are connected directly and securely to their data warehouse or lakehouse. They can pull data into Excel simply by asking questions in natural language. AutoQL returns data responses in real-time, and data can then be populated directly into Excel for further analysis or application in existing models.
The ability to query and populate data from the data warehouse directly in Excel is essential for businesses that want to improve their agility and respond proactively to changing scenarios and opportunities. This integration enables faster access to source data, streamlines data gathering, and allows users to forecast scenarios and create business models more quickly and efficiently.
Ultimately, AutoQL for Microsoft Excel empowers modern work teams to spend less time gathering and organizing data and more time analyzing it.
Learn more: AutoQL for Microsoft Excel
Bringing AutoQL to Modern Work Teams
With these integrations, business users can bring their data directly from their data warehouse or lakehouse into Teams and Excel. Without writing a single line of code or adding pressure to the ever-evolving demands of internal data teams, users can access and analyze their data with unprecedented ease, all from the tools they already use.
Learn more: Self-Service Analytics for Business Decisions