Abstract:SwiftAgent, an automated business analysis product that integrates large model capabilities, helps enterprises realize business data insight and analysis based on natural language and industry cognition, truly completes the effective transformation of data indexing and indicator value, and opens a new era of enterprise digital business analysis
2023 is the year of the explosion of large models, and the leading enterprises that are at the forefront of the exploration of large models have explored its landing scenarios in digital construction. As an industry-leading data intelligence product company, as early as the end of last year, Digital Potential Technology began to explore the feasibility of large models in the field of business analysis and user operation, and integrated product capabilities into pan-financial and large retail enterprise services, and launched the first large model empowerment product series in the enterprise service industry in April, bringing core thinking to drive the high-quality development of enterprises. After more than half a year of product market feasibility verification, Digital Potential Technology officially launched an automated business analysis product that integrates large model capabilities: Digital Potential Intelligent Analysis Assistant - SwiftAgent.
What is the Digital Potential Intelligent Analysis Assistant?
SwiftAgent is an innovative intelligent analysis product independently developed by Datapotential Technology, which combines the data analysis capabilities of the most advanced large language model (LLM) and digital potential indicator platform products, providing a powerful and intuitive tool for data analysts, business intelligence experts and non-technical users.
SwiftAgent product architecture and application scenarios).
Based on the domestic large model, SwiftAgent introduces the technology of the digital potential indicator platform, fine-tunes the training of the large model, and applies the capabilities of RAG and AI agent, so that users can talk to data in natural language without mastering query language or programming skills. This means that even non-technical users can easily use SwiftAgent for data value mining and analysis applications.
What core scenario problem does the digital potential intelligent analysis assistant solve?
The value of data is undoubted, but enterprises often face many problems when retrieving and using data, and SwiftAgent can solve them one by one.
The pain for management teams: Existing data products don't provide end-to-end expert insights by industry.
SwiftAgent: Meet management's higher expectations for the intelligence and professionalism of data analysis tools.
Provide automated reports that fit the thinking of professional analysts, and organically integrate data overviews, charts, advanced calculations (year-on-year comparison, aggregation, proportion, ranking, correlation**) and text conclusions to provide management with professional analysis of different industry dimensions, and generate interpretation reports to complete end-to-end reach.
The pain of the business team: without a technical background, the current data analysis products have a high learning threshold, low utilization rate, and data attribution and interpretation still rely on manual work.
SwiftAgent: Meet the strong demand of business teams to complete data analysis flexibly and with a low threshold.
Support interactive indicator query to lower the threshold for data acquisitionIt also provides business personnel with Q&A dimensional attribution and factor attribution capabilities, greatly improving the efficiency of data fluctuation detection and accelerating decision-making.
The pain of the data analysis team: In the face of the data usage needs of the entire group, not only the amount of analysis is large, but the data caliber is chaotic and inconsistent, and it is difficult to respond to business changes in real time.
swiftagent: to meet the needs of data analysis teams for unified management of indicators.
Combined with the capabilities of the digital potential indicator platform, it can process huge amounts of data and perform high-load tasks such as advanced statistical analysis and machine learning model training, and at the same time provide data teams with powerful unified management capabilities at the semantic layer of full lifecycle indicators, helping data teams simplify repetitive report requirements, unify metric definitions, and respond to business changes in real time.
What are the highlights of the intelligent analysis assistant?
Multi-modal interactive query: It supports text, voice, Excel and other data types input, which is convenient for customers to quickly complete data query on mobile and PC.
Attribution insight analysis: Users can complete data fluctuation attribution through multiple insight methods such as dimensional attribution, factor attribution, time series attribution, and correlation analysis of business data.
Advanced data analysis: Supports a variety of advanced statistical analysis methods for result datasets, such as ringing, proportioning, sorting, and advanced aggregation.
Automatic recommendation and generation of charts: Automatically match and generate a variety of analysis charts according to user problems.
Industrialization report generation: Based on the data analysis results and the industry fine-tuning model, generate industry reports that fit the business scenario.
Intelligent fluctuation alert: Through set business thresholds and advanced anomaly detection algorithms, SwiftAgent can monitor key metrics in real time, and send alerts to users once anomalies are found, so as to take timely countermeasures.
If you need further communication and apply for product trial, please pay attention to the official website of "Digital Potential Technology".