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1. Generate insights with
unstructured data extraction

2. What is Unstructured Data?
Any information that is not arranged into any sequence or scheme or any specific
structure that makes it easy to read for others is called unstructured data.
Unstructured data has no structure or format to make it easily recognizable.
Unstructured data is highly text-based like data, facts open-ended survey
responses but it also can be non textual like images, audio, or video.

3. Text Data: The data that is available in an email or written form is called text data.
Text messages, written documents, word, PDFs, and other files, of them, are an
example of unstructured data.
Website content: All the websites are filled with any information that is available in
the form of long paragraphs, scattered, and disorganized forms.
Email: Email is widely used by businesses as one of the primary channels to
communicate. Emails can be classified as semi-structured or unstructured.
Examples of unstructured data

4. Storage: Since the time of digitalization of the World in the 20th century, data
success comes with occupying less storage and more information.
Time To Extract Information: Dealing with unstructured data is high time taking.
It took too long to extract information from unstructured data when it comes to the
urgency of the data.
Possible challenges of unstructured data

5. No Fixed Format: Unstructured data supports data of all formats and sizes. Any
kind of data that does not have a proper sequence can be classified as
unstructured data. It can be useful to expand the horizon of types of data.
No Schema: As discussed above, unstructured data has no fixed sequence and it
also has no fixed schema. This is what makes unstructured data extraction difficult
for most of the parts.
Flexibility: Given unstructured data has no structure, it can have any format. This
makes it fluid in terms of structure.
Advantages of using unstructured data

6. Convert unstructured data into structured data
Step 1: Have a Clear Goal in mind
Step 2: Finalize the data sources
Step 3: Standardization of Data
Step 4: Selecting the data extraction technology
Step 5: Selecting the data storage system

7. Learn More about Unstructured data Extraction
https://nanonets.com/blog/generate-insights-with-unstructured-data-extraction/