The landscape of data analysis has transformed dramatically over the past few decades—from requiring deep technical expertise to becoming increasingly accessible to everyone. In the past, you had to know exactly where and how data was stored and how to access it through SQL. Without this knowledge and these skillsets, you were dependent on technical experts and their bandwidth to access and analyze data.
Over time, many analytics tools have broadened access by making data dashboards and reports more accessible to business users outside of data engineering departments. Despite this, most employees and organizations remain bottlenecked by the data skills gap, unable to move beyond pre-configured views to become truly data driven. From spreadsheet manipulation to data visualization—users continue seeking ways to fully leverage available information sources, understand metadata nuances, and make informed decisions.
AI agents and LLMs are transforming the enterprise data landscape by enabling users to both find and analyze information through natural language interactions, and to iterate on data questions as their hypotheses grow. While LLMs can interpret basic data schemas, they often struggle to make meaningful connections between disparate data sources and formats without additional context and specialized tooling.
Today, we are excited to announce the next wave of data-driven product innovation that will transform how you query and analyze information from across SaaS applications and data warehouses: the launch of real-time, structured data queries within Glean from a first set of supported applications: Salesforce, Jira, and Databricks. Glean’s structured data analysis capabilities uniquely bridge structured data with the complete repository of a company’s unstructured data, leveraging AI to analyze data at a scale not previously possible.
Democratizing data-driven success
Enterprise companies often hire data-driven employees and build data-centric processes to better inform critical business decisions. However, they are limited by the time it takes to find, access, and analyze it—which is problematic when immediate access to accurate, real-time, and comprehensive data is crucial. Businesses need this data to invest and compete, build customer-first products, and optimize their supply chain. At an individual level, sales managers need to easily track performance metrics, marketing managers want to consistently iterate and improve a digital ad campaign, and data analysts strive to extract insights from complex datasets.
The power to query data through simple conversation transforms how businesses run and individuals work. Instead of wrestling with SQL commands or complex data tools, anyone can ask questions with natural language, making data-driven decisions accessible to everyone.
Your data in a new light
Unlike unstructured data such as files and Slack threads that remain relatively static and can be efficiently indexed, structured data changes constantly. Sales opportunities update, support tickets get resolved, and marketing campaign metrics shift rapidly. With Glean data analysis, users now can ask structured data questions in real time, from a single interface. Specifically, Glean users can now:
Access real-time Salesforce data instantly
Glean now supports Salesforce Object Query Language (SOQL), allowing Glean to query Salesforce data with SOQL for real-time, accurate responses. This enables users to retrieve real-time data from Salesforce, including standard and custom objects.
Users can access Salesforce data from within Glean without having to write SOQL or go through a technical counterpart. Additionally, users can run lightweight calculations, like sum, average, and count, on their results and combine them with insights from other data sources from a single interface.
An Account Manager can analyze sales opportunities in Glean by:
- Querying open opportunities directly from Salesforce via SOQL.
- Viewing prospect engagement data from Slack channels.
- Identifying positive buying signals from Gong calls.
- Combining these data sources for a complete view of customer activity and identifying prospects most likely to convert.
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Streamline project management with Jira
Customers can now get real-time updates on information like project statuses, issue tracking, and team performance without leaving Glean with Jira Query Language (JQL). Teams that manage their work in Jira can use Jira Query Language (JQL), enabling Glean to query Jira data by combining native search capabilities with JQL. They can then combine those queries with other data sources for holistic insights.
A Product Manager can analyze product gaps based on customer requests in Glean by:
- Searching Slack and Gong for customer feedback.
- Ordering and prioritizing requests by importance.
- Querying Jira projects using JQL to assess current development status.
- Creating an alignment table mapping customer requests to existing projects.
Analyze mission-critical data from Databricks
Glean brings Databricks-hosted data to every business user in the enterprise, enabling them to use natural language to get data insights directly from the Databricks Data Intelligence Platform. By querying Databricks AI/BI Genie from Glean Assistant, all users can get their data questions answered, aggregate information, identify trends, and generate reports—complete with clear explanations of the underlying metrics. Future integration will also index and enable natural language queries of pre-built Databricks dashboards for direct access to the most deterministic business data.
A Product Manager can track feature launch results in Glean by:
- Querying product analytics from their Databricks AI/BI Genie space
- Building visualizations to summarize post-launch adoption with metrics like Active Users, Adoption Rate, Time Spent in Product, etc.
Drive your data analysis through AI
By enabling real-time data analysis through natural language queries, Glean eliminates data bottlenecks and silos that slow down business decisions. Teams can now move at the speed of market opportunities, with both technical and non-technical employees accessing comprehensive insights across Salesforce, Jira, Databricks, and other enterprise data sources—all from a single, secure interface. We are excited to see how our users will leverage these new capabilities to drive their business forward. To start using structured data queries from Salesforce, Jira, and Databricks, simply log in to your Glean account and explore the new features.
At Glean, we are dedicated to continuously improving our platform to meet the evolving needs of our users. Want to discover more about how structured data analytics enables Glean to deliver the market’s most comprehensive work AI platform? Watch the Glean Live: Winter ‘25 launch event! Looking to learn more about transforming your enterprise workflows through AI? Sign up for a free demo of Glean today!
Salesforce and Atlassian structured data analysis are in Beta. Databricks Genie structured data analysis is in Private Preview with indexed Databricks dashboards coming soon.
