Unstructured Data is Eating the World

min read

Traditionally, businesses like yours have placed primary importance on structured data. Yet deep insights can be gleaned from unstructured data; if you have the ability to process it.

Unlike structured data, unstructured data is information that is not arranged by a pre-set, conventional data model or schema. Unstructured data therefore cannot be stored in traditional relational databases and it cannot be analysed by traditional BI tools.

Common unstructured data categories includes:

  • Text
    • Emails
    • Customer Comments
    • Project Documents
    • Social Media Posts
  • Images
    • Websites
    • Product photos
    • Slideshow presentations
    • Social Media Posts
    • Website Rich Media
  • Audio
    • Meeting recordings
    • Zoom, Microsoft Teams & Slack Video Calls
    • Podcasts
  • Video
    • Livestreams
    • User journey recordings
    • Zoom, Microsoft Teams & Slack Video Calls
    • Website Rich Media

Unstructured data is everywhere, eating all data

MIT and MongoDB report that 80-90% of data generated by companies is unstructured and the volumes rapidly increase every day.

Even though unstructured data presents significant competitive advantage to companies, it is locked away for most businesses.

Better decision making comes from unstructured

Executives are 24% more likely to exceed their business goals state according to a Deloitte survey that shows the power of unstructured data as being “one of the most valuable sources of insights”.

However, only 18% of organisations take advantage of unstructured data to make better decisions.

Data driven decision making is about making decisions based on actual data, rather than intuition and high-level observation alone.

People at every level of a business have conversations that could be better support by insights gathered from unstructured data.

Hidden insights in unstructured data support business goals empowering everyone in the organisation to make better decisions.

Analysing unstructured data at scale is impossible with traditional tools

It all starts with realising the full value of your data. Then it requires investment in artificial intelligence and non-traditional data analytics tools.

The reason for this is unstructured data is qualitative in nature, present in so many formats that aren’t uniform and it doesn’t fit into predefined data models. It can’t be stored and managed in relational databases using structured query language (SQL) nor it can be processed and analysed with traditional BI tools at scale.

Vector technology – a state of the art solution to analyse unstructured data

Vector technology is an revolutionary emerging tech which is a subset of artificial intelligence with a basis in advanced mathematical concepts. Whilst it has been around in some form for some decades, only recently has the barrier to entry been lowered .

Vectors are the mathematical representation of qualitative information, which stores the meaning of unstructured data, in a language that machines can understand.

Vectors can be obtained from neural networks, on almost any type of data.

How can your business take advantage of vectors?

To take advantage of vectors, your data scientists, analysts, practioners or machine learning engineers will need a platform that enables data experimentation through vectors.

This is where RelevanceAI comes into play.

Book your platform demo here with our vector experts and learn how you can take the next steps.

Alternatively with knowledge of Python and Juypiter notebooks, you can create an account and get started today.

Unstructured Data is Eating the World
Benedek Zajkas
March 4, 2022
Find out how your business can glean insights through unstructured data with vectors

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