Redefining data warehousing using cloud modernization
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Redefining data warehousing using cloud modernization

How Onix’s Wingspan is set to modernize data warehousing

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Why do you need to adopt an Agentic AI platform like Wingspan?

$15 million annually

Average loss for businesses still relying on legacy data infrastructure due to inefficient data processing and missed opportunities.
(Source)

80 %

25% faster decision-making

Reported by companies implementing comprehensive data modernization strategies.
(Source)
0 %

40% improved operational efficiency

Reported by companies implementing comprehensive data modernization strategies.
(Source)
0 %

A data-centric approach that turns legacy modernization into a launchpad for scalable innovation

Every day, businesses generate over 2.5 quintillion bytes of data, yet much of it remains trapped in legacy systems that weren’t built for today’s speed, scale, or complexity. These outdated warehouses drive up costs, reduce agility, and prevent enterprises from realizing the full value of their data.

This eBook explores how cloud platforms and Agentic AI are reshaping enterprise data strategies, delivering automation, scalability, and security to transform data into a true engine for innovation. With Agentic AI platforms like Wingspan, enterprises can accelerate the journey from data to AI, using intelligent agents to automate data modernization.

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What you’ll discover inside the eBook:

 

  • 70% automation potential: How AI can handle data processing tasks like storage, manipulation, and preparation, freeing teams to focus on innovation.
  • Real-world success: TELUS cut operating expenses by 30% and modernized 200+ pipelines by migrating to BigQuery.
  • Future trends: The rise of Agentic AI platforms, enabling autonomous data integration, real-time analytics, and governance.
  • Cloud advantage: Why platforms like BigQuery offer scalable, cost-effective, and serverless architecture that boosts agility.
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