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The Looming Data Apocalypse
Digital TransformationData Management

The Looming Data Apocalypse: Why Structured Digitization is Crucial

VernSense Team
September 4, 2024

The digital revolution is upon us, yet a silent crisis simmers beneath the hype – the imminent loss of invaluable information. While businesses celebrate the efficiencies of the digital age, countless troves of data, painstakingly gathered over decades, languish in dusty archives and forgotten file cabinets. This is the looming data apocalypse, a slow-burning disaster threatening the very foundations of countless organizations.

The Problem: Unusable Data

The problem isn't merely the existence of physical data; it's the inability to access and leverage it effectively. Consider these startling facts:

  • The amount of data created globally is exploding, doubling every two years.
  • Gartner estimates that 80% of enterprise data is unstructured and unusable for analysis.
  • Simply scanning documents doesn't solve the problem, as scanned data often remains unstructured and difficult to search.
  • IDC estimates that poor data management costs the US economy trillions of dollars annually.
Data Growth Chart

The Risks of Unstructured Data

The issues with unstructured data go far beyond storage. Even with vast digital archives, businesses struggle to access and analyse information efficiently, leading to several critical challenges:

  • Decision-Making Delays: Sifting through unstructured data causes delays, missed opportunities, and poor decisions.
  • Compliance Challenges: Companies risk hefty fines and reputational damage if they can't quickly locate relevant information.
  • Lost Opportunities for Insights: Valuable insights remain hidden in unstructured datasets, hindering strategic planning and innovation.
Data Risks Infographic

The Solution: Structured Digitization

The solution lies in embracing structured digitization – a process that goes beyond mere scanning to transform raw data into organized, accessible, and actionable information. This involves:

  • Intelligent Data Capture: Using OCR and AI-powered data extraction to convert unstructured data into machine-readable formats.
  • Data Validation and Enrichment: Ensuring data accuracy and enriching it with relevant context.
  • Integration with ERP Systems: Seamlessly integrating structured data into existing ERP systems for analysis and decision-making.
Structured Digitization Process

The Transformative Power of Structured Data

Imagine a world where your entire data universe is instantly accessible within your ERP system. The benefits are transformative:

  • Data-Driven Decision Making: Make faster, more informed decisions based on complete information.
  • Operational Efficiency: Eliminate time wasted searching for information and streamline processes.
  • Enhanced Customer Experience: Respond to customer needs more quickly with instant access to relevant data.
  • Improved Compliance and Risk Management: Easily locate and provide required documentation for audits and regulatory requests.
Data-Driven Business

Structured Digitization in Action

Check out this demo video of Scour by VernSense AI, a structured digitization solution:

The Time to Act is Now

The transition to structured digitization is not a luxury; it's a business imperative. Companies like VernSense AI are leading the charge, offering innovative solutions that empower organizations to unlock the full potential of their data. By embracing structured digitization and integrating this valuable information into their ERP systems, businesses can avert the looming data apocalypse and transform themselves into agile, data-driven powerhouses.

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