Скачать или смотреть AI Agent That Builds and Updates Power BI Dashboards Automatically! 🤖📊

Welcome to CodeVisium’s Lightning-Fast Automations, where we turn your everyday workflows into intelligent, AI-powered systems.
Today’s automation is HUGE — an AI Agent that builds and updates Power BI dashboards automatically.
This is going viral worldwide because companies want AUTO-refreshing dashboards + AI insights with zero manual work.

Let’s break everything down.

✅ Step 1: Connect Power BI Dataset

First, generate a Power BI API token:

Go to Azure Active Directory

Register an app

Enable Power BI permissions

Get your Client ID / Secret

Python Example:

import requests

token = "YOUR_POWERBI_TOKEN"
headers = {"Authorization": f"Bearer {token}"}

Check available datasets
resp = requests.get(
"https://api.powerbi.com/v1.0/myorg/da...",
headers=headers
)
print(resp.json())


Now your AI can read datasets from Power BI.

✅ Step 2: Create an AI Agent with DAX + SQL Awareness

Use LangChain to create a reasoning agent that understands both SQL and DAX.

from langchain.chat_models import ChatOpenAI
from langchain.agents import Tool, initialize_agent

llm = ChatOpenAI(model="gpt-4o")

def generate_dax(query):
prompt = f"Write a DAX measure for: {query}"
return llm(prompt)

tools = [
Tool(name="DAXGenerator", func=generate_dax, description="Creates DAX formulas")
]

agent = initialize_agent(tools, llm, verbose=True)


Your agent can now create DAX measures like magic.

✅ Step 3: Auto-Generate Power BI Visuals

AI writes DAX, and the Power BI API updates visuals.

Example prompt to AI:

agent.run("Create a DAX measure for total revenue growth month over month.")


Result:

MoM Growth =
DIVIDE(
[Total Revenue] - CALCULATE([Total Revenue], DATEADD('Date'[Date], -1, MONTH)),
CALCULATE([Total Revenue], DATEADD('Date'[Date], -1, MONTH))
)


Use the Power BI API to insert this measure into your dashboard automatically.

✅ Step 4: Auto-Refresh Power BI Dashboard

Refresh the dataset automatically via API:

dataset_id = "YOUR_DATASET_ID"

requests.post(
f"https://api.powerbi.com/v1.0/myorg/da...{dataset_id}/refreshes",
headers=headers
)


Your dashboard now refreshes itself with NO manual clicks.

✅ Step 5: AI Agent Sends Daily Insights

Combine AI + automation:

from datetime import datetime

insights = agent.run("Summarize today's business performance from Power BI data.")

with open("daily_insight.txt", "w") as f:
f.write(f"{datetime.now()}\n\n{insights}")


Send via email, Slack, or Teams automatically.

🚀 This Automation Will Change Your Life

Your AI Agent can now:
✔ Read your data
✔ Write SQL
✔ Write DAX
✔ Generate visuals
✔ Refresh dashboards
✔ Summarize insights
✔ Alert you when KPIs change

This is EXACTLY what companies want today — and EXACTLY what trends globally.

🔥 Examples of Natural Prompts Your Agent Can Handle

“Create a dashboard showing product profitability by region.”

“Write a DAX measure for customer retention.”

“Alert me if revenue drops more than 5% this week.”

“Generate insights for leadership presentation.”

This is professional-level BI automation.

#AI #PowerBI #AIAgent #Automation #GPT4o #DataEngineering #DAX #BusinessIntelligence #CodeVisium