How to Create AI Workflow for Financial Data Analysis?

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      29 May 2024 (updated: 29 May 2024) by  Paweł Sierant Paweł Sierant

      Learn how to streamline your work utilizing AI workflows for SQL, chart generation, and data analysis.

      Manual preparation of financial data reports is a tedious and time-consuming task. Traditional tools like Excel and other similar applications require significant effort to create analyses that include filters, buttons, sorting options, and various graphs. These static interfaces often fall short in delivering dynamic, real-time insights. However, with the recent surge of AI Development, leveraging AI chat interfaces can revolutionize this process, enabling users to generate comprehensive financial analyses with minimal effort. By utilizing AI, we can answer a multitude of financial questions swiftly and accurately, thus enhancing efficiency and decision-making.

      The challenge with traditional tools

      The main issue with traditional tools is their static nature. Imagine spending hours preparing a detailed financial report in Excel, only to have it reviewed in a meeting where new questions arise. At that point, the static report falls short because it doesn't allow for dynamic interaction or real-time data manipulation. The conversation stalls because the report is locked in its predefined format, and addressing new questions requires a time-consuming process of re-analyzing and reformatting the data.

      The value of dynamic interfaces

      The static nature of Excel means we can't quickly pivot to address new queries. We could attempt to perform an on-the-fly analysis during the meeting, but this is inconvenient and inefficient.
      This is where AI chat interfaces shine. Instead of being limited by static reports, we can interact dynamically with the data. Using natural language queries, we can ask the AI for specific insights, calculations, or visualizations. The interface is not just a static presentation of data; it's an interactive tool that adapts to the user's needs in real-time.

      How to set up an AI workflow

      To set up the workflow you'll need the following resources:

      • Buildel - an intuitive platform designed for creating and managing workflows, particularly suited for integrating AI models into various tasks. It allows users to set up and customize workflows that automate data analysis and reporting.
      • GPT-4-Turbo - a powerful language model by OpenAI, excels in processing natural language queries and generating insightful responses.
      • Dataset - the dataset containing financial data used in our examples.

      Setting up the workflow in Buildel:

      1. Register an account and create a new workflow
      2. Setup the workflow as shown below:

      buildel workflow

      Used blocks:

      • Text input - used to provide text prompts for the model
      • Chat - large language model chat block enabling advanced conversational interactions powered by OpenAI or other models
      • CSV Search - the block that allows us to upload and search through the CSV files
      • Text output - output showing results of the workflow


      Chat block system message:

      How to streamline your work by utilizing Buildel AI workflow?

      The Buildel workflow can significantly streamline your work in two key ways:

      • Data Analysis: This workflow enables rapid data analysis, acting as an SQL expert even if you're not familiar with SQL. You can analyze data within seconds, simplifying complex processes.
      • Data Handling: It functions as a data analyst, managing large CSV files, summarizing critical information, examining profitability, and more.

      To demonstrate its capabilities, I've prepared several query examples that show how Buildel can obtain, analyze, and prepare data. Additionally, you can request charts based on the analyzed data for better visualization.

      Utilizing AI workflow as an SQL expert - examples

      What were the highest gross sales in Europe?

      highest sales europe

      The sum of units sold for each country in the first quarter of 2014

      As you can see, the model managed to answer the question and even combined the countries that were cased differently.

      sum units sold

      What product has the highest margin in a segment?

      Again, we got the correct answer and a hint that the document isn’t consistent in its values.

      highest margin

      Create a pie chart of Paseo sales in Canada by month in 2014

      With a simple but specific prompt, we got the answer we needed with an illustrated pie chart.

      paseo sales

      paseo pie chart

      Utilizing AI workflow as a data analyst - examples

      As you can see, Buildel can effectively act as an SQL expert, analyzing data and even generating pie charts. Let's take it further by having it interpret the data to summarize key information, draw conclusions, and provide recommendations for the next steps.

      Product performance analysis

      product performance analysis

      Price impact analysis

      Price impact analysis

      Cost Analysis

      cost analysis


      Integrating AI into financial data analysis simplifies the process, making it more efficient and accessible. Tools like Buildel enable users to set up workflows that automate the generation of detailed custom financial reports. By leveraging AI, companies can quickly obtain accurate insights. This approach not only saves time but also enhances the overall quality and reliability of financial analyses.

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