What is content intelligence?

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Content intelligence uses intelligent document processing , machine learning, and AI to help knowledge workers find the knowledge they need to accomplish their tasks.

A well-oiled content intelligence strategy can peel back layers of important documents to reveal insights you might not have otherwise obtained. And that type of content isn’t always easy to find.

How many times have you remembered an interesting anecdote shared during a presentation, only to forget where you saw it?

For example, a member of the marketing department presents a compelling report on customer behavior. The report contains pages of insights into market competitors, customer preferences, and product usage patterns. But if it’s impossible for a sales or product development employee to locate it, the winning idea ends up lost in the corporate web. The winning idea ends up lost in the corporate web.

illustration of a brain

The question “ Where did I see that ?” triggers an hours-long search that, according to McKinsey, wastes 19% of the workweek . Without a content intelligence strategy , the “a-ha” moment that could have propelled your business to new heights disappears like a cloud.

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Fortunately, for many organizations, the best solution is right under their noses—in existing data that’s just too hard to find. Content intelligence is about tapping into the untapped knowledge you already have at your fingertips. Here’s how to do it:

A search engine for organizational knowledge
How your organization manages documents and pakistan mobile numbers database data is at the heart of content intelligence. In this case, unstructured data .

Even if you spend hours a day working on spreadsheets, this is the easy part. Unstructured data includes Slack messages, Google Docs, PDFs, social media conversations, and PowerPoints from last quarter’s sales meeting. This is all the loose content that doesn’t follow a predictable pattern like rows and columns.

This is why unstructured data is much harder to analyze. To improve “findability,” we used to rely on a strict file structure or taxonomy. But labels that apply to one department may not imply why another department needs the information. This can be a problem for most organizations, given that 80-90% of data is unstructured .

Intelligent Document Processing (IDP) brings insights from unstructured content to the forefront. You no longer need complex meta-tagging to try to manage and share information. Machine learning and artificial intelligence work together to ingest, index, and organize your content so you can search it like your own Google.