Unstructured data

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Collection of news, articles and features on all things data, from the infoboss team…

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Unstructured data

Use case: Data foundations for AI

Data is typically spread across cloud platforms, on-premise systems, databases, and legacy applications. Formats are inconsistent, quality is variable, and workflows are complex. As a result, reporting is slow, customer experiences suffer, and teams lack confidence in the data they rely on. Analysts can spend up to 50% of their time preparing data rather than…
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Part 7. DSAR search.

Infoboss automates the discovery, indexing, and extraction of personal data across structured and unstructured sources, including Microsoft 365, cloud applications, and legacy systems. Secure workflows support review and delivery, while a full audit trail provides evidence for regulators and reduces legal risk.
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Part 6. Legacy system archiving.

Infoboss enables secure, compliant archiving of legacy data without maintaining obsolete platforms. Data is discovered and classified across legacy applications, shared drives, and email systems. Only valuable or compliance-critical data is retained, migrated into accessible storage, and governed with audit-ready retention and access controls. Archived data remains searchable and available, while legacy systems can be…
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Part 3. Data foundations.

When data foundations work, they are rarely noticed. They simply allow the business to move faster, with confidence.
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The benefits of white labelling…

As AI and data management evolve, consultancies and service providers face a choice: invest heavily in developing technology, or leverage a proven platform and make it their own. White labelling a data management or RAG platform lets you strengthen your brand, expand your service portfolio, and unlock new recurring revenue – without the complexity of…
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Legacy information poses a serious risk.

Migrate client data to a cloud-based solution, with improved data integration and quality tools to deliver long-term value for the organisation.
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How can infoboss help with unstructured data?

infoboss can be invaluable in handling unstructured data, which refers to data that does not adhere to a specific data model or schema, such as text documents, emails, social media posts, and images. Many organisations look to several products to support their unstructured data projects, but infoboss provides many of these capabilities out of the…
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Extracting value from unstructured data

Unstructured data refers to the vast amounts of information that is not organised in a specific manner, such as text documents (contracts, articles, white papers), emails, survey results, customer feedback and social media posts. While this type of data may not immediately appear to have value, there are various methods that organisations can use to…
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An OCR story

A case study in converting scanned documents into text to generate insights and improve document management processes… We’re working on a client project presently where there is a requirement to convert scanned PDF documents into text. We have done this before, but for this job, there was a larger volume of documents to process than…
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Could you benefit from text analytics?

Many organisations have large collections of documents stored in shared drives either in the cloud or on premise. These documents are often referred to as unstructured data or sometimes the more sinister term “dark data” is used. A common characteristic of these data assets is that very little is understood about them. You may be…
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