Documents to Data: Unlocking Business Value with Hoverture and Konfuzio

In the rapidly evolving business landscape, companies find their ambitions to innovate hampered by traditional, document-oriented workflows. While these serve well for a few, scalability becomes an issue as the number of items increase. Hoverture and Konfuzio have come together to address this challenge by leveraging Konfuzio as a document automation platform to connect our clients’ documents to the unique data and ML services offered by Google Cloud Platform.

1. The Reality of Fast-Growing Businesses

In the digital age, businesses are constantly expanding and evolving. Growth brings about an influx of data in the form of documents — from emails to contracts, invoices to customer queries. Document-oriented workflows, which once felt comfortable and manageable, reach their limits under the weight of increased volume. These traditional methods can lead to bottlenecks, where decision–making becomes slower and less efficient due to the sheer volume of information that needs to be processed. This is particularly true for companies scaling at a rapid pace, where every delay can have magnified repercussions. Transitioning to aggregated data is the future — a method that not only aids in collecting and sorting vast amounts of data but also in deriving meaningful insights from it.

2. The Challenges of Traditional Document-to-Data Transformation

Shifting from paper to digital was just the beginning of the data revolution. While companies adopted digital documents, making sense of their content remains a challenge. Manual extraction, though meticulous, often became a bottleneck. Errors, inconsistencies, and the sheer time investment made it untenable for larger data sets. As businesses sought automation, many of the initial solutions presented their own sets of problems. Niche-specific tools limited versatility, and their fragile nature often led to difficulties with maintaining or developing them, leading businesses to incur unforeseen costs, both in capital and time.

3. Konfuzio & Managed Cloud: The Perfect Synergy

This is where the partnership between Hoverture and Konfuzio comes into play. Konfuzio, with its advanced algorithms, spearheads the extraction, classification, and interpretation of data from documents. The precision and adaptability it offers is unparalleled. On the other hand, Hoverture elevates this extracted data’s value through its expertise with connecting the output of Konfuzio to a host of managed services in the cloud: With tools that enable databases, machine learning applications, and efficient processing pipelines, Hoverture ensures that the data is not just collected but is ready for large-scale, impactful usage in your organisation.

4. Konfuzio & Managed Cloud: The Perfect Synergy

Building on this synergy, Hoverture aims to deliver a series of specific services, tailored to maximize efficiency and output:

• Implementing Konfuzio: Deploying it seamlessly within clients’ Google Cloud Platform environments to guarantee an optimized infrastructure.
• Managed Service Model: Whereby Hoverture runs Konfuzio in a managed environment, ensuring stability and uptime.
• Connectivity with Google Cloud: Linking Konfuzio deployments with advanced Google Cloud Platform services like BigQuery and VertexAI, bringing sophisticated data processing tools into play.

5. The Combined Impact on Client Experience

Clients stand to gain the most from this collaboration. Businesses can now envisage a future where they smoothly transition from their current document-oriented processes to a more streamlined, data-centric approach. This integration promises not only efficiency but also a level of accuracy previously deemed challenging to achieve. While it’s early days, initial feedback suggests that clients are optimistic about what this means for their operational capabilities.

CONCLUSION

Clients stand to gain the most from this collaboration. Businesses can now envisage a future where they smoothly transition from their current document-oriented processes to a more streamlined, data-centric approach. This integration promises not only efficiency but also a level of accuracy previously deemed challenging to achieve. While it’s early days, initial feedback suggests that clients are optimistic about what this means for their operational capabilities.