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The Living Framework of Continuous Evolution: Adapting Business Strategies in Real-Time with Agile…

  • Azure’s data stack is flexible and can store and refine all types of data in rawest form appropriate.
  • Using Azure Event Hubs or Azure Stream Analytics enables businesses to process data fast, and stay ahead of their competitors.
  • Competitive- Intelligency techniques can be used to plant data, analyze competitors movements and predict their next steps based on AI technology.
  • Azure Purview helps businesses to map their data through each system and ensures quality is not compromised.
  • Azure offers elasticity and automation tools like Azure Data Factory and Azure Logic apps that can automate data pipelines and create workflows.
  • Using streaming data and combining it with historical data and machine learning models helps businesses to predict competitors’ next moves.
  • Azure Security Center is designed to monitor and secure the architecture and also to protect data assets with encryption.
  • Azure API management tools can help companies monetize high-quality secured data insights for other businesses.
  • Continuous improvement is key to the architecture, using monitoring tools like Azure Monitor and Application Insights.
  • Agile architecture built on Azure’s cloud capabilities with streaming data fueling business intelligence can give businesses a leading edge.

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