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10 Steps for Analyzing Unstructured Data

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10 Steps for Analyzing Unstructured Data

These are not the only steps to structuring unstructured data. However, they are proven to work and to create consistent patterns!

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Data analysis is becoming an important part of businesses growth. It is important for businesses to understand structured and unstructured data in order to make a right decision for their businesses to grow. Below are 10 steps to follow that will help analyze unstructured data for successful business enterprises.

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1. Decide on a Data Source

It’s very important to understand the source of data that is beneficial for your small business enterprise. You may use one or more data source to collect the information that is relevant to your business. Collecting data from random sources is never a good idea because you might corrupt the data or even lose some. Hence it’s recommended to survey the relevant data source before you start collecting data. There are some online big data development tools that you can use to collect the data.

2. Manage Your Unstructured Data Search

Collected data will vary in usage if it’s structured or unstructured. Finding and collecting data is only one step; structuring your unstructured data search and making it useful is entirely another thing. The second step is as important as collecting the data but can have a negative impact on your clients and your own business if not managed properly. Invest in a good business management tool before you have too much unstructured data.

3. Eliminating Useless Data

After collection and structuring the data comes the third step of eliminating data. Although most data is going to only further your company's growth, sometimes it can also be detrimental. If your unstructured data takes up too much space on your businesses hard drives, storage, or backups, this may affect your business' ability to strive. This reduces further confusion and saves you from wasting your time on data that are not beneficial.

4. Prepare Data for Storage

Preparing data means to remove all the whitespace, formatting issues, etc. from the data. Now when you have all the data, no matter useful for the business or not, you can start making a stack of useful data and indexing unstructured data once the data is prepared.

5. Decide the Technology for Data Stack and Storage

After the elimination of useless data, stacking your data is the ideal next step. Be sure to use the latest technology to save and stack data so that it is easy for you and your employees who are also working with data to fetch the most important and mandatory data in no time. Also, ensure that you have a maintained and updated data backup and recovery service.

6. Keep All the Data Until It Is Stored

Seems obvious, but always make sure you save data — whether it is structured or unstructured — before deleting anything! Recent natural disasters around the globe have proven that a current and updated data backup recovery system is essential and necessary, especially during times of crisis. You may not know that all of your data is about to get deleted. So, think ahead and save your work often.

7. Retrieve Useful Information

After a proper data backup, you can recover data. This step is useful because you will need to retrieve data after converting unstructured information as well.

8. Ontology Evaluation

It’s good if you can show a relationship between the source of information and the data extracted. This will help you in providing useful insights in regards to the organization of data. Your company will need to be able to explain the steps and processes you took, so keep a record in order to recognize patterns and keep consistent with the process.

9. Record Statistics

Once you have made the unstructured data search into the structured data through all the steps mentioned above, it’s time to create statistics. Classify and segment the data for easy use and study in order to create a great flow for future use.

10. Analyze the Data

This is the last step of indexing unstructured data. After all the raw data are structured, it comes the time to analyze and make decisions that are relevant and beneficial for the business. Indexing also helps your small business make consistent patterns for future use.

These are not the only steps to structuring data. However, they are proven to work and create consistent patterns. Unstructured data can spam your small business, so hopefully, I have helped ease some of the stress caused by confusing stored data.

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Topics:
big data ,data analytics ,unstructured data ,structured data

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