Are you curious about data structures? This article has compiled a list of unstructured data examples and other helpful information. So, stick around to the very end to better understand unstructured data.
Today, big chunks of data are pretty popular, and almost every sector of your company generates some form of data. Even though most companies adore structured data, unstructured data remains less understood. And that’s a challenge to any company. More importantly, the various unstructured data examples all significantly impact your business making decisions. With that in mind, here’s a list of unstructured data examples.
Top Common Unstructured Data Examples
Emails rank up as the most popular form of unstructured data examples. That’s because we use them every day for personal and business purposes. Granted, emails have an internal structure; for instance, you can easily arrange them in size, date, and time. However, that’s not enough information to rank this data type as structured.
Typically, emails in most organizations are disorganized and take time to sift through. On top of that, finding the correct emails could take ages without the proper tools to help you find what you are looking for. Organizing emails using unstructured data analysis tools could help speed up the process.
2. Text Files
When it comes to text files, the list goes on and on. From PDF files and spreadsheets to word documents- you name it! There are a lot of text files that fall into this category and can be defined as unstructured data examples.
By now, I’m sure you can already sense a pattern. As the name suggests, most unstructured data examples do not have any form of structure. And that makes it quite challenging to analyze and use when it comes to data-driven decision-making in your company. XML, graphic files, and Word documents contain valuable information for your company’s future.
Another example of unstructured data is websites. Information from websites is broadly considered a source of raw and unstructured data that can work in favor of your business once correctly harnessed. Additionally, sites such as YouTube and photo-sharing pages like Instagram and Flickr are unstructured databases.
4. Social Media
Even though social media can also be ranked under websites’ unstructured data examples, it deserves special attention. Undoubtedly, the data generated from social media sites such as Facebook, Instagram, TikTok, and Twitter is massive and dramatically impacts your business.
More importantly, social media is a valuable real-time data source that companies worldwide utilize. More specifically, when a customer mentions your company in their post, that immediately turns into unstructured data. These posts are rich sources of insightful data that can be used for further analysis.
5. Unstructured Data Examples: Images, Video, and Audio (Media)
Digital images, audio files such as MP3s, and video represent a significant part of unstructured non-textual data. These data can provide rich, valuable information in any business sector.
You might wonder why images are ranked among unstructured data types yet can be placed in databases. The simple answer is that most businesses care a lot about the meaning of the picture rather than its underlying database. That’s why images and all media are essential unstructured data examples.
Digital images come in PNG and JPG. But this image data doesn’t tell us anything about the information on the image. It simply tells us that this is an image format and its size. It needs to be analyzed using unstructured data analysis tools to understand the image file better.
6. Customer-generated content
There are different forms of customer-generated content, for instance, emails, online reviews, and comments or emails to the support team. These are all great unstructured data examples. They also collectively speak volumes about your customer service and satisfaction.
When used correctly and analyzed, you can obtain insightful data that could help improve your customer’s relationship from customer-generated content. Feedback and questions by customers are also unstructured data.
7. Mobile data
Mobile data is another source of unstructured data. This section contains several types of data, including location and messages. Today, almost everyone has access to a mobile phone. That means mobile data is an excellent source of information since this sector continues to grow.
Texting is now a crucial sector since it connects businesses and customers. At the same time, this sector collects unstructured data information is useful when it comes to making data-driven decisions.
8. Unstructured Data Examples: Newspaper, magazines, and books
Other great unstructured data examples are newspapers, books, and magazines. In fact, even blog posts are examples of unstructured data. These types of unstructured data sources form a considerable percentage of free information available to the public.
9. Marketing Research’s Raw Data
We all know marketing research is crucial in promoting your brand’s awareness. However, market research only presents raw data that’s typically in the form of unstructured data. Such enormous data forms require further analysis to make them applicable to your company.
The data collected in market research is entirely raw and unstructured. Without the proper tools by your side, this information can be worthless. Some examples of raw marketing data include surveys, focus group interviews (check out how to transcribe focus groups), and more.
In Summary: Unstructured Data Examples
As you can see, unstructured data examples are almost everywhere. We use unstructured data daily, but it sometimes is hard to derive insightful data from them at times. So, how do we analyze unstructured data examples to make informed business decisions? That’s the million-dollar question.
Thankfully, software companies such as Speak Ai is at the forefront of tech innovation, offering clients analysis tools capable of handling unstructured data.
How To Use The Best Large Language Models For Unstructured Data With Speak
Step 1: Create Your Speak Account
To start your transcription and analysis, you first need to create a Speak account. No worries, this is super easy to do!
Get a 14-day trial with 30 minutes of free English audio and video transcription included when you sign up for Speak.
Step 4: Wait for Speak to Analyze Your Unstructured Data Data
If you are uploading audio and video, our automated transcription software will prepare your transcript quickly. Once completed, you will get an email notification that your transcript is complete. That email will contain a link back to the file so you can access the interactive media player with the transcript, analysis, and export formats ready for you.
If you are importing CSVs or uploading text files Speak will generally analyze the information much more quickly.
Step 5: Visit Your File Or Folder
Speak is capable of analyzing both individual files and entire folders of data.
When you are viewing any individual file in Speak, all you have to do is click on the “Prompts” button.
If you want to analyze many files, all you have to do is add the files you want to analyze into a folder within Speak.
You can do that by adding new files into Speak or you can organize your current files into your desired folder with the software’s easy editing functionality.
Step 6: Select Speak Magic Prompts To Analyze Your Unstructured Data Data
What Are Magic Prompts?
Speak Magic Prompts leverage innovation in artificial intelligence models often referred to as “generative AI”.
These models have analyzed huge amounts of data from across the internet to gain an understanding of language.
With that understanding, these “large language models” are capable of performing mind-bending tasks!
With Speak Magic Prompts, you can now perform those tasks on the audio, video and text data in your Speak account.
Step 7: Select Your Assistant Type
To help you get better results from Speak Magic Prompts, Speak has introduced “Assistant Type”.
These assistant types pre-set and provide context to the prompt engine for more concise, meaningful outputs based on your needs.
To begin, we have included:
Choose the most relevant assistant type from the dropdown.
Step 8: Create Or Select Your Desired Prompt
Here are some examples prompts that you can apply to any file right now:
Create a SWOT Analysis
Give me the top action items
Create a bullet point list summary
Tell me the key issues that were left unresolved
Tell me what questions were asked
Create Your Own Custom Prompts
A modal will pop up so you can use the suggested prompts we shared above to instantly and magically get your answers.
If you have your own prompts you want to create, select “Custom Prompt” from the dropdown and another text box will open where you can ask anything you want of your data!
Step 9: Review & Share Responses
Speak will generate a concise response for you in a text box below the prompt selection dropdown.
In this example, we ask to analyze all the Interview Data in the folder at once for the top product dissatisfiers.
You can easily copy that response for your presentations, content, emails, team members and more!
Speak Magic Prompts As ChatGPT For Unstructured Data Data Pricing
Our team at Speak Ai continues to optimize the pricing for Magic Prompts and Speak as a whole.
Right now, anyone in the 14-day trial of Speak gets 100,000 characters included in their account.
If you need more characters, you can easily include Speak Magic Prompts in your plan when you create a subscription.
You can also upgrade the number of characters in your account if you already have a subscription.
It would be an honour to personally jump on an introductory call with you to make sure you are set up for success.
Just use our Calendly link to find a time that works well for you. We look forward to meeting you!
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