Sales Data Analysis

Modern enterprises face challenges caused by ever growing volume of data they need to process and analyze. Business users such as sales managers often rely on technical competencies of other people to make sense out of enormous spreadsheets in order to analyze data and draw the insights they need. The process becomes even more complex, in a constantly changing environment and cross-team collaboration.

To address these challenges, DIAL eXpressive Logic (XL) can be leveraged as an AI-powered data platform designed to democratize natural language access to structured data. DIAL XL empowers both business and power users to rapidly ideate, explore, and analyze sales data in real time, fostering a collaborative environment.

Key highlights:

• Handling Large-Scale Datasets: DIAL XL enables the analysis of large datasets with millions of rows of sales data, such as details about branches, cities, costs, and customers (age, gender, etc.) and more.
• Natural Language Queries: Users can query the dataset directly by asking questions in natural language. For example, "What is the branch that generates the highest revenue?" DIAL XL's agents then execute the query, generate and add the necessary artifacts to the spreadsheet, which can be used as an input for further analysis.
• Executive Dashboard and Reports: You can prepare read-only dashboards and reports for executive users based on your projects, who can then use them to explore data using only natural language.
• Data Visualization: DIAL XL users can visualize data by creating and inserting graphs and charts into spreadsheets using commands in natural language. An agent that processes a request can automatically assess it and render the output as charts or graphs when it is needed for better visibility. Generated artifacts, such as new tables and charts, can then be used as an input for further analysis.
• Enhanced Data Integration: Agents combine semantic indexation of the available datasets and leverage powerful language models to add data that is not available in the spreadsheet, enriching the analysis and providing deeper insights. Agents understand the context and automatically take into consideration both original datasets and newly generated ones when processing requests.
• Data Validation and Transparency: Users can preview the steps and reasoning behind each agent's action, ensuring transparency and accuracy. For all calculations, DIAL XL uses user-friendly formulas accessible even for non-technical users.
• Real-Time Collaboration: Teams can collaborate in real time, sharing projects with or without editing rights. When multiple users are working on the shared project, changes apply for all users simultaneously in real time.

Outcomes and Benefits:

DIAL XL brings data accessibility to the next level empowering business users to do research and analyze sales data with self-sufficiency using only natural language, leading to lower barriers to working with data for a wider range of users. Real-time collaboration allows building a more agile team environment, enabling rapid ideation and exploration of data.