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Last updated on Mar 31, 2025
  1. All
  2. Business Administration
  3. Business Intelligence (BI)

Your BI system is lagging behind due to bottlenecks. How can you boost scalability effectively?

To tackle bottlenecks in your Business Intelligence (BI) system and improve scalability, it's crucial to implement effective strategies. Consider these approaches to optimize your BI system:

  • Optimize data architecture: Streamline data storage and processing workflows to reduce latency.

  • Leverage cloud solutions: Use cloud-based platforms to dynamically scale resources based on demand.

  • Improve query performance: Optimize SQL queries and use indexing to speed up data retrieval.

How do you boost scalability in your BI system? Share your strategies.

Business Intelligence Business Intelligence

Business Intelligence

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Last updated on Mar 31, 2025
  1. All
  2. Business Administration
  3. Business Intelligence (BI)

Your BI system is lagging behind due to bottlenecks. How can you boost scalability effectively?

To tackle bottlenecks in your Business Intelligence (BI) system and improve scalability, it's crucial to implement effective strategies. Consider these approaches to optimize your BI system:

  • Optimize data architecture: Streamline data storage and processing workflows to reduce latency.

  • Leverage cloud solutions: Use cloud-based platforms to dynamically scale resources based on demand.

  • Improve query performance: Optimize SQL queries and use indexing to speed up data retrieval.

How do you boost scalability in your BI system? Share your strategies.

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1 answer
  • Contributor profile photo
    Contributor profile photo
    Nebojsha Antic 🌟

    🌟 Business Intelligence Developer | 🌐 Certified Google Professional Cloud Architect and Data Engineer | Microsoft 📊 AI Engineer, Fabric Analytics Engineer, Azure Administrator, Data Scientist

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    🧱Redesign data models to reduce joins and flatten complex hierarchies. ☁️Scale storage and compute separately using cloud-native BI services like Power BI Premium, BigQuery, or Synapse. ⚡Use aggregations and materialized views to serve high-demand queries faster. 🧠Partition large datasets to minimize scan costs and improve load times. ⚙️Optimize DAX and SQL queries—remove unused columns, avoid row-by-row logic. 🔄Schedule data refreshes off-peak and incrementally when possible. 🔍Continuously monitor performance with telemetry and diagnostics tools.

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