Data Messenger is a state-of-the-art conversational user interface that enables real time data access and exploration through natural language.
Data Messenger makes database querying simple
Embed an intelligent conversational interface that allows users to access and analyze their data simply by typing requests in everyday language. Implementing the Data Messenger widget takes just 2-3 hours, so you can begin delivering new value to your users in no time.
What makes Data Messenger different
Data Messenger allows you to get data into the hands of all your users: from C-suite execs to front-line workers. Leveraging conversational AI that’s built to ensure seamless communication between human and machine, users can self-serve their data needs and receive accurate answers to their most-pressing questions in real time.
Democratize the power of self-serve database querying at scale
Capitalize on your team’s full potential instead of allocating key resources to ad hoc requests. Empower your users to leverage their data in your application (no data management experience required!) with an intuitive option for finding answers to their data-centric questions, whenever they need.
Boost user engagement through frictionless data experiences
Never lose your users to third-party business intelligence tools again and watch the value of your software skyrocket with the addition of an embedded messenger interface that gives users the power to gain insights from their data, from anywhere in your application, within seconds.
Lead your industry with cutting-edge data access functionality
Stay steps ahead of your competition with enhanced functionality and a state-of-the-art digital experience that exceeds user expectations and surpasses the status-quo. Ensure you deliver the in-demand capabilities your users need to uncover actionable data insights they can’t find anywhere else.
According to Gartner, “By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset, and analytics as an essential competency.”
How Data Messenger works for you
Take advantage of our open-source components and comprehensive developer resources to rapidly embed and deploy a customized user interface that allows anyone to interact naturally with their data using their own words. Our flexible Data Messenger widget can be easily implemented in your software in just a couple of hours.
How Data Messenger works for your users
Using natural language (their own words), users simply type their data-related questions into the messenger-style interface you’ve embedded in your application and immediately receive the data they need in easy-to-understand visualizations that make sense to them.
With Data Messenger, everyone can query the business data in their database, instantly, anywhere in the application you already build.
Ad Hoc Reporting
Give your users seamless access to critical business information with data on demand.
Empower users to dive into details, explore trends, and discover insights, instantly.
Single-Click Drill Downs
Give users instant access to the details underlying high-level data points, allowing them to gain critical context and uncover important insights in just seconds.
Empower your users to understand and explore their data stories by providing them with on-demand access to compelling data visualizations, from easy-to-understand charts and graphs to comprehensive pivot tables.
Enable users to copy and paste information to a desired location, quickly download their results as a CSV or PDF, or edit columns and filter tables, all from the comfort of your built-in messenger interface.
Exceptional user experience comes first
We know that human conversation is complex. Data Messenger handles the nuances of how people communicate so that database querying via our conversational AI technology is intuitive, easy, and incredibly efficient.
Custom, searchable catalogue of natural language queries to get your users started, fast.
Catches and verifies references to unique data, so users always receive the data they need.
Automatically populates similar query suggestions as users type, so they get results quickly and easily.
Clarifies meaning behind ambiguous queries, leading to efficient and accurate responses.