• Written by Azhar Aliyar, Director

A user searches for the latest sales figures in AsscherAi, but the results are incomplete because the data is stored in unstructured documents, which the system is not designed to handle. The search query is attempting to retrieve data from a mixture of structured records and unstructured documents, leading to inconsistent results. This issue arises because the organisation has not clearly defined whether they are dealing with structured records or unstructured documents, and has therefore not implemented the appropriate system to handle their specific needs.

Commitments of each option

When an organisation chooses to use structured records, they are committing to a system that requires careful planning and definition of the data structure upfront. This involves creating a schema that outlines the relationships between different data entities, and ensuring that all data is entered in a consistent and standardised format. On the other hand, using unstructured documents commits the organisation to a system that can handle large amounts of unformatted data, such as text documents, images, and videos. This requires a system that can perform complex searches and queries across multiple data types.

The choice between structured records and unstructured documents is not just a technical decision, but also a business one. It requires consideration of the organisation's specific needs and goals, as well as the trade-offs between data consistency and flexibility. For example, a shift supervisor may need to access structured records to track inventory levels, while a category manager may need to search unstructured documents to research new suppliers.

The case for the other option

There are cases where using unstructured documents is the better choice, even if the organisation has traditionally used structured records. For instance, when dealing with large amounts of text data, such as customer feedback or social media posts, unstructured documents may be more suitable. This is because the data is often unformatted and requires complex searches and queries to extract meaningful insights. In such cases, a system designed for unstructured documents can provide more flexibility and scalability.

On the other hand, there are also cases where structured records are more appropriate, even if the organisation has a large amount of unstructured data. For example, when dealing with financial data, such as invoices and payments, structured records can provide more accuracy and consistency. This is because financial data requires precise formatting and standardisation to ensure compliance with regulatory requirements.

The hidden cost

One of the hidden costs of choosing between structured records and unstructured documents is the cost of data migration and integration. When an organisation switches from one system to another, they may need to migrate large amounts of data, which can be time-consuming and costly. Additionally, integrating data from multiple sources can require significant resources and expertise. This cost can be mitigated by carefully planning the data migration and integration process, and by using tools and technologies that can automate and streamline the process.

Another hidden cost is the cost of training and support. When an organisation implements a new system, they may need to provide training and support to users to ensure they can effectively use the system. This can be particularly challenging when dealing with complex systems that require specialized skills and knowledge. To mitigate this cost, organisations can provide ongoing training and support, and can also use online resources and documentation to help users get up to speed quickly.

Deciding without a six month evaluation

To decide between structured records and unstructured documents without a six month evaluation, organisations can start by assessing their specific needs and goals. They can ask themselves questions such as: What type of data do we need to store and retrieve? What are our data consistency and standardisation requirements? What are our scalability and flexibility needs? By answering these questions, organisations can get a better sense of which system is more suitable for their needs.

Organisations can also consult with experts and vendors to get a better understanding of the different options available. For example, they can visit our website to learn more about AsscherAi and how it can help them answer questions about their data. They can also contact us directly through our contact page to discuss their specific needs and requirements.

What this does not do

This article does not provide a comprehensive guide to implementing a system for structured records or unstructured documents. It also does not provide a detailed comparison of the different technologies and tools available for each option. Instead, it provides a high-level overview of the key considerations and trade-offs involved in choosing between structured records and unstructured documents.

Additionally, this article does not address the specific needs of organisations that require both structured records and unstructured documents. In such cases, organisations may need to implement a hybrid system that can handle both types of data, or use multiple systems that can integrate and interoperate with each other. This can be a complex and challenging task, and requires careful planning and expertise to ensure successful implementation.