Observe what the number is
AskTable is an enterprise-level AI data table agent platform that provides enterprises with a natural language-based data analysis experience and supports intelligent queries in Excel, databases, data warehouses and data lakes. It can be “integrated into commonly used office software such as Enterprise WeChat, Feishu, and DingTalk, and supports natural language query of the enterprise’s core database to quickly return accurate results”.
AskTable has powerful AI analysis capabilities. Users do not need to understand SQL. They only need to use “say” to obtain real-time data insights, which can be applied to business operations, human resources, sales management and other business scenarios to help enterprises. Efficient decision-making. AskTable has high query accuracy and fast response speed. It can be used with almost no training and is adapted to mainstream large models, such as Tongyi Qianwen.
Observe the two major product directions of “words and numbers”
- AI engine : An AI agent platform for data intelligence. The technical team can quickly build and customize exclusive data agents based on the platform. Similar to Dify’s focus on unstructured data, AskTable focuses on structured data, and the two can form complementary joint solutions to jointly meet the diverse data intelligence needs of enterprises.
- AI picture : AI productivity tools focusing on data analysis scenarios provide data analysts with an immersive Vibe Analyzing experience, assisting data exploration, report creation and intelligent generation.
Observe the main functions of “words and observations”
- Natural-language queries : Users can directly query the enterprise core database through natural language without writing complex SQL statements.
- AI data analysis and report generation : It can quickly generate analysis reports, including total value, trend, proportion and other data, and supports correlation analysis and trend prediction.
- Multiplatform integration : Supports integration with commonly used office software such as Enterprise WeChat, Feishu, DingTalk, etc., making it convenient for users to use in familiar environments.
- Multiple deployment methods : Provide SaaS mode, stand-alone version and private deployment to meet the data security and privacy needs of different enterprises.
- High query accuracy and response speed : internal tests show high query accuracy and fast response, making it easy to get started with almost no training.
- Adapting to mainstream large models : Supports integration with mainstream large models such as Tongyi Qianwen, and the user experience is close to daily AI dialogue tools.
How to use observation
- Access Platform : Visit AskTable official website https://www.asktable.com/, log in and enter the console.
- Add data : After entering the project, the first step is to add data. AskTable currently supports more than 20 types of data, such as MySQL, PostgreSQL, Excel, and others. Fill in the database information and click “Add Now”. The system will automatically read the table structure and field notes to help AI better understand business semantics.
- Adding knowledge of business : You can add business knowledge through functions such as custom field descriptions or term preferences, so that the AI’s answers are more suitable for your business language.
- Create an AI data assistant and talk : After the data connection is completed, create an AI data assistant. Just ask him a question in natural language, such as: “each business’s top 10 net profits in 2023.” In a matter of seconds, AskTable automatically understands and generates the result, presented in the most appropriate form, perhaps a table, a histogram, or a line chart. Count, plot, analyze, all in one sentence.
- Embedding & Collaboration :AskTable can also seamlessly access Dify, Enterprise WeChat, Feishu, OA and other systems, allowing data to be obtained at any time and used directly in daily work scenarios.
- Automatically generate reports : In addition to conversation analysis, AskTable also supports one-click generation of complete analysis reports. The input topic system will automatically generate a visual report with core indicators, graphs, conclusions and recommendations. Easily implement a smart closed loop from “asking questions” to “insight”.
- Data-permission management :AskTable also supports refined data permission management. Members of different departments and ranks will automatically see data within their respective authorization ranges to ensure enterprise data security and compliance.
- More usage details , please refer to the product documentation: https://docs.asktable.com/docs/introduction/what-is-asktable
Observe the product pricing
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Standalone trial :
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Price : Free, but there will be a computing fee.
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Inclusion : Supports up to 3 agents, up to 10 tables, fast local deployment.
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Computing power charges : Billed based on actual usage, the price is estimated to be 0.05-0.15 yuan/time. Users can purchase computing power packs and view expense consumption logs on the AskTable cloud platform.
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SaaS solution :
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Price : Limited time offer, 19.9 yuan/month, current discount price is 6.9 yuan/month.
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Inclusion : Supports 100 tables, provides cloud AI computing power, and adopts a hybrid architecture of 4 fast and slow models.
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Application scenarios of observing words and numbers
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Business management and decision support : Help corporate management quickly obtain key data and analysis reports through natural language, support financial analysis, risk assessment and strategic planning, and improve decision-making efficiency.
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Business data analysis : Supports front-line business personnel to generate reports and charts through colloquial expressions, quickly obtain business data, and assist in daily management and decision-making.
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Data query and interaction : Users can perform natural language data query through a variety of terminals (such as mobile phones, PCs, WeChat, etc.), support data entry and exception warning, and improve the convenience of data interaction.
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Business Intelligence & Market Insights : Analyze market trends and customer behavior, generate sales forecasts and market analysis reports, and help enterprises optimize resource allocation and enhance market competitiveness.
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Financial and Investment Analysis : In the financial field, it supports the generation of quantitative trading strategies, financial analysis and tax processing, helping financial institutions improve data analysis efficiency and decision-making accuracy.
