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](https://www.aible.com/casestudies?selectIndustry=education) [ Software / Technology ](https://www.aible.com/casestudies?selectIndustry=tech) [ Food and Beverage ](https://www.aible.com/casestudies?selectIndustry=food) [ Construction ](https://www.aible.com/casestudies?selectIndustry=construction) [ Distribution ](https://www.aible.com/casestudies?selectIndustry=distribution) [ Retail ](https://www.aible.com/casestudies?selectIndustry=retail) [ Legal ](https://www.aible.com/casestudies?selectIndustry=legal) [ Transportation ](https://www.aible.com/casestudies?selectIndustry=transportation) Partners [ Featured Partners ](https://www.aible.com/aible-partners) [ AWS ](https://www.aible.com/aws) [ DELL ](https://infohub.delltechnologies.com/en-us/t/solution-guide-ai-agents-for-business-users-with-aible/) [ Google ](https://www.aible.com/googlecloud) [ HPE 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Operations Data Via Chat-Powered Natural Language Querying (NLQ) in three weeks ##### Company Profile Fortune 500 ##### Industry Telecommunications ##### Function Business Intelligence and Analytics Team ##### Region Global #### Executive Summary A Fortune 500 Tech Company faced the problem of having continuous streams of operations data and no easy way to ask business-critical questions without needing time-consuming data work. Any data driven decision-making needed weeks or months of work to generate the full BI reports. To address this issue, the business implemented Natural Language Querying (NLQ), powered by **Chat **with Aible within 23 days. Challenge The Business Intelligence (BI) team found it difficult to have their constantly expanding operations data ‘analysis-ready’ for the critical timeframes of the business, leading to: Delayed Decisions: It often took months for BI teams to finish generating reports and visualizations this caused a significant delay in business units ability to leverage insights to support business decisions Unscalable Data Processing: With no quick and reliable way to analyze the data for reporting and new data sources growing by the day, the process grew unsustainable with more nimble methods to generate business-critical information being needed Solution Within 3 weeks, the Global Leader in Tech implemented Natural Language Querying, powered by Chat using Aible, to improve and speed up the way their company interacts with operations data: Direct Access to Critical Business Info: With Chat available, business teams are enabled to directly communicate with operations data via simple questions, e.g. “Which product team had the best average performance over the last 3 quarters in Louisiana?” and auto-generate reports and dashboards as needed. Modernizing Business Intelligence: NLQ capabilities from Aible allow the business’ data teams to move beyond traditional BI workflows to bring data interactivity and accessibility to the next level while still maintaining what’s familiar to the business users ## Results The Global Tech Company has greatly improved its speed to leveraging data for critical business decisions while placing significantly less strain on its data teams. Now business users directly ask questions to their operations data and don’t have to wait longer than a few seconds to have their answer. This level of autonomy to investigate and probe their data allows business leaders to make better-informed decision making, faster. [![https://www.aible.com/explore-customer-churn-with-chat](https://www.aible.com/hubfs/35.Tile_CustomerChurn_Chat_ROUNDED_TILE_626x408%20Copy-1.png) ](https://www.aible.com/fortune50_healthcare_retailer) Case Study ### Fortune 500 company, Customer Churn Analyzed 2B+ rows to identify areas of customer churn and enabled a chat application that reviewed over 2.5M variable combinations to find and summarize meaningful patterns [ Read Use Case ](https://www.aible.com/fortune50_healthcare_retailer) [![37.Tile_Workforce_Management_Retailer_ROUNDED_TILE_626x408-1](https://www.aible.com/hubfs/37.Tile_Workforce_Management_Retailer_ROUNDED_TILE_626x408-1.png) ](https://www.aible.com/customer-spotlight-37-workforce-management) Case Study ### Fortune 500
Healthcare Retail, Workforce Management Analytics Developed in depth chat enabled analytics to understand where hours exceed budgeted allocation [ Read Use Case ](https://www.aible.com/customer-spotlight-37-workforce-management) [![32.Tile KPI Reporting_Rounded_Tile_626x408 Copy](https://www.aible.com/hubfs/32.Tile%20KPI%20Reporting_Rounded_Tile_626x408%20Copy.png) ](https://www.aible.com/kpi_reporting) Case Study ### Fortune 500 Company KPI Reporting Leverage an LLM and Analytics to provide context behind the weekly KPI trackers [ Read Use Case ](https://www.aible.com/kpi_reporting) Meet with Aible Let us help you deliver impact from your next AI project [ Schedule a Meeting ](https://enaible.aible.com/schedule-meeting) Join Our Email List Get the Latest News and Insights ### Subscribe Here! Aible needs the contact information you provide to us to contact you about our products and services. You may opt out at any time. ![aible_badge](https://www.aible.com/hubfs/aible_badge.svg) [![Twitter](https://www.aible.com/hubfs/Twitter.png) ](https://twitter.com/iamAible) [![Linked in](https://www.aible.com/hubfs/Linked%20in.png) ](https://www.linkedin.com/company/aible/) [![FB](https://www.aible.com/hubfs/FB.png) ](https://www.facebook.com/iamaible) © 2026 · Aible, Inc. · [Privacy Policy](https://www.aible.com/privacy-policy/) · [Terms of Use](https://www.aible.com/aible-terms-of-use)