Uncovering the Challenges of Unstructured Data: How DOConvert Aligns with the Future of Intelligent Document Automation
As businesses increasingly look toward Intelligent Automation, the challenges of managing unstructured data are becoming more evident. While many organizations are planning to replace outdated ERP and Document Management systems, DOConvert’s clients face fewer hurdles in this area. Thanks to our seamless integration with leading ERPs and platform flexibility, transitioning between systems is smooth and efficient, allowing companies to focus on managing their data more effectively.
The Critical Role of Accurate Data in Automation
The challenges related to unstructured data management are widespread, as highlighted by Figure 9 from the Deep Analysis report. Businesses face common obstacles such as:
- Lack of confidence in data: Organizations often find it difficult to trust the quality of their unstructured data, leading to inefficiencies and missed opportunities in automation efforts.
- Inability to find relevant results: Without proper systems in place, retrieving the right information from large datasets can become a tedious and error-prone process.
- Difficulty in querying multiple data locations: Information is often siloed across various systems, making it challenging to gain a unified view of data for decision-making.
- Inability to manage unstructured data volumes: The sheer volume of unstructured data can overwhelm legacy systems, leaving businesses struggling to make sense of it.
At DOConvert, these are precisely the problems we solve. Our platform is built to automate the extraction, processing, and integration of unstructured data. By ensuring that data is not only digitized but also validated and accurate, we help businesses gain confidence in their information and unlock its full potential.
Accuracy: The First Step Towards Compliance
Data accuracy is the critical foundation for everything that follows. As DOConvert ensures bi-directional integration with leading ERPs, we are able to detect and correct anomalies in data in real-time. For instance, our platform can automatically alert users to discrepancies between purchase orders and actual deliveries, identify wrong SKUs, or flag missing information.
Once these anomalies are fixed, the system completes the import of data, ensuring that the business remains compliant with its processes and requirements. This level of accuracy is essential, but it’s only the first step. Compliance, which we believe is the future of intelligent document automation, builds on this foundation. By identifying gaps in the data, we ensure that what is ordered is what is received, down to the smallest details.
Turning Data Into Actionable Insights
Beyond accuracy and compliance, DOConvert provides critical business insights. With our platform, businesses can now track and evaluate vendor performance based on metrics like on-time delivery, correct quantity, or SKU accuracy. By scoring vendors on these metrics, companies can make more informed decisions and improve their supply chain efficiency.
For example, if a vendor consistently underperforms in terms of delivery times, you can easily identify the problem and take action to correct it. This kind of data-driven insight enables businesses to optimize their operations, reduce costs, and improve supplier relationships.
The Cost of Poor Data Management
Another key insight from the research is the increasing costs associated with managing unstructured data. A staggering 55% of organizations reported that their costs in this area are rising, particularly in terms of software and storage investments.
By leveraging DOConvert, businesses can mitigate these costs. Our platform reduces the manual effort required to manage unstructured data, allowing companies to reallocate resources to higher-value activities. Automation not only drives efficiency but also reduces the financial burden of managing data at scale.
Looking to the Future
As we move toward 2024, the demand for solutions that address unstructured data challenges will only grow. Document automation in the supply chain, enterprise search, and process mining are areas where DOConvert is already making significant strides.
Our vision is to provide businesses with tools that automate workflows, improve data accuracy, and ultimately, empower them to leverage their data for competitive advantage
At DOConvert, we are committed to helping businesses navigate the complex landscape of unstructured data management and emerge stronger, more efficient, and better equipped for the AI era in the Supply Chain space
*All data and insights mentioned in this article are drawn from the comprehensive research conducted by M-Files’ Market Momentum Index on AI and Unstructured Data Management.