AI & Advanced Analytics

Unlock predictive insights with Copilot, AutoML, and advanced analytics in Power BI.

Go beyond descriptive dashboards with AI-powered analytics. We implement Microsoft Copilot for Power BI, AutoML predictions, anomaly detection, key influencer analysis, and natural language Q&A — giving your team the power to ask questions of their data and get intelligent answers automatically.

हमारी प्रक्रिया

1

AI Readiness Audit

Assess your data quality, model structure, and licensing for AI feature compatibility.

2

Feature Selection

Identify the highest-impact AI features for your specific business scenarios.

3

Implementation

Configure Copilot, build AutoML models, set up anomaly detection, and optimize Q&A.

4

Training & Adoption

Train users on AI features, establish feedback loops, and monitor prediction accuracy.

प्रमुख लाभ

Copilot Integration

Natural language report generation and data exploration powered by Microsoft Copilot.

Predictive Analytics

Forecast sales, predict churn, and detect anomalies without a data science team.

Key Influencer Analysis

Automatically identify which factors drive your metrics up or down.

Natural Language Q&A

Ask questions in plain English and get instant chart answers from your data.

क्या शामिल है

Microsoft Copilot for Power BI setup and optimization
AutoML model training for predictions and forecasting
Anomaly detection configuration
Key influencers and decomposition tree visuals
Natural language Q&A optimization
Smart narratives and AI-generated insights

अक्सर पूछे जाने वाले प्रश्न

Do we need Power BI Premium for AI features?

Some AI features (Copilot, AutoML) require Premium Per User ($24/user/month) or Fabric capacity. Basic AI features like Key Influencers and Smart Narratives work with Pro licenses. We help you determine the minimum licensing required for your desired AI features.

How accurate are the predictions?

Accuracy depends on your data quality, volume, and the prediction type. We validate all AutoML models against holdout test data and provide accuracy metrics (R-squared, MAE, F1 score) before deploying to production. Typically, well-structured business data achieves 80-95% accuracy for classification tasks.

Can Copilot work with our specific terminology?

Yes. Copilot uses your semantic model metadata (table names, measure descriptions, synonyms) to understand your business context. We optimize your model with detailed descriptions and synonyms so Copilot gives relevant, accurate answers using your business language.

Add AI to Your Analytics

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