Types of Unstructured Data and The Method for Striving Useful Data from it - Part 2
In the previous article, we cover the definition and types of unstructured data. Now, I’d like to share the difference between the structured and unstructured data and how you can derive useful data using methods.
Traditionally, there are three types of data called, “Structured Data”, “Unstructured Data” and the “Semi-Structured Data”.
Here is the difference between the structured and unstructured data.
Now, we are very able to define both types of data and after that time to capture the useful information through the web scraping for text analytics.
Huge pile of the data and separate a meaningful data from that it’s quite difficult, but no more. Data scraping plays important role here, it extracts a human-readable information from unstructured data. It becomes a primary necessary for the organizations who are attempting to interface any legacy system without any API. Data mining is also very similar to web and data scraping for striving a useful information and to store it into relational database.
Text Analytics
Text analytics is nothing but the method for deriving a meaningful information from unstructured data to analysis, for a customer feedback, product reviews, to provide a search facility and machine learning techniques.
It determines the keywords, topics, categories and semantics, tags from the millions of the text data available in the organization stored in various file formats. We can say this technique as a text mining.
Here is the flow for the text analytics:
In the market there are a lot of text analytics applications are available like, sentiment analysis, social media monitoring, competitive intelligence etc.
Now organization got a success in striving structured data and now it's time to leverage it into business growth and competition.
How data analytics can be leveraged for a business welfare?
Data is an essential asset that helps business while taking a critical decision building a product or business model.
- Product Development
Every business is because of its product and in this era of competition it is very important to know who is your competition so, the data analytics enables both knowledge discovery and prediction capabilities, also helps business to understand the current market trend and based on that trigger the new product to match the market needs.
- Target an Audience With the Best Content
If you are running a marketing campaign then first you have to know your targeted customers and then pitching them with the best content and the data analytics will enable to determine which segment of customer base will respond best to the campaign. It improves the overall efficiency of the marketing efforts.
- Business Operational Efficiency
Data analytics helps businesses to streamline operations and maximize the profit. How? It eliminates the problems of waiting for a response from the clients and take them actions on the same also it identify the potential problems. So, companies can get to know which area of the operation is need to improve.
Organizations think that they need to gather enormous volumes of data before performing analytics in order to generate business insights and improve decision-making. This is merely a myth.
Summing it up
So, this is how the well mannered or a structure data is helping organizations to drive a new revenue and gain a competitive benefits. Companies need to understand the core of the data and determine the output for what they are looking for.