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Acquiring data is the necessary process to run a business, or you can better say it a “RAW MATERIAL”. If you utilise it carefully, data can offer you final results. But, the problem is that not all information is functional.

Companies receive or collect a large number of data every month. The important part is how they pick the useful ones and utilise it to grow the business. Many small firms fail to manage it, and eventually, give up on their dreams.

If you are facing a similar condition, then use the technology to help you out. You might be surprised to know that data profiling is the software that can provide aid. Let’s have a look at it, and learn everything from functionality to utilisation.

What Is Data Profiling?

It is the process of extraction of “useful” data from the current data source. Or, you can say, that data profiling creates statistics and informative summary about the aggregate data. 

There are various tools that we have discussed later in this blog. First, understand how it works. 

What is the mechanism of data profiling?

There are two main segments on which data arrangement runs. We have mentioned them below:

  1. Constructive discovery
  2. Content discovery 

Constructive Discovery

It is the step where you can confirm your data constructive or formation. 

For example, when you search the name on phone book contact list, then it shows the result according to your preference. If you press “A”, then it will show results starts from the alphabet “A”. In this way, this detects the constructiveness and formation of the data. 

Content Discovery

It is the process where the system rechecks the authenticity of the data. This process occurs when constructive discovery has done its parts. Content discovery will find to detect the value of the incorrect and false value of the data that may introduce an additional cost. 

 There is one more part that most of the system does not use, and, i.e. “Relationship discovery”. Generally, it finds out of the relationship between the new and reusing data. 

It is the reason, data profiling becomes part of top technologies, like:

  • Data warehouse 
  • Data conversion 
  • Source system data quality projects 

There are specific steps that one has to follow while performing data profiling. 

4 Steps To Run The Data Profiling

We have mentioned some necessary steps that you should follow. 

  1. Make go/ no go decision
  2. Detect the correct data
  3. Send data from source to target 
  4. Follow the ETL process 

Make Go/ No Go Decision

First, you have to check that data is useful is not. The system will offer two options, like go for precede the function, and no go to cancel the request. 

Detect the Correct Data

Once you find out the data and precede the information, then track the correct data take place. 

Send Data from Source to Target 

Completion of the first two steps means technical system provides you with the user data. Once it completes then moves the data from source to target. 

Follow the ETL Process 

In this, the hierarchy structure will form. It means data from the first level cannot jump to the last one directly. 

These are the four necessary steps that one should follow while operating “DATA PROFILING TOOL”. Many new entrepreneurs don’t know which data profiling tool is best for their business.

Read below because we have mentioned the top 4 tools for managing data. And if you are worried about the cost, then you don’t have to. The value of the tools is not pocketed threatening. 

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Now, let’s have a look at the tools. 

4 Tools For Data Profiling 

These tools are divided into two segments. 

  1. First one is open source data profiling 
  2. The second one is a Commercial data profiling tool 

Let’s discuss the first one.

Open Source Data Profiling Tool

Aggregate Profiler

It offers better data enrichment and accurate information collection practice. The best part of it is that it can create dummy data, Meta discovery and Hadoop integration. 

Talend Open Studio 

Provide a much better pattern library, column set analysis, and better customisable data assessment. 

Commercial Data Profiling Tool

It usually uses for the commercial purpose, or you can use this technology for home-based firms too. 

Data profiling in Informatica 

It offer mimics data management workflow. The essential part of this technical tool is that “it offers the best meta management.”

Oracle Enterprise Data Quality 

Oracle offers much better data management, and automates it first, then merges it to utilise. However, the cost of the oracle is a bit higher than data profiling Informatica, but the works are similar. 

It is a detailed study of how technology helps you to grow the business fast. It initiates with data profiling. Nevertheless, in earlier days, it was the whole manual driven, but now it can be achieved with some data profiling tools. 

If you are not using data management technology, then you are making a big mistake. Go ahead and leverage it to make your business successful. 

amiliewilson1 Posts

Amilie Wilson is financial consultant at Fortnitemoney for more than 5 years. She has total experience of 10 years in the field of financial management. She deals the borrowers face to face, handle meetings of the company as a senior financial consultant and share her knowledge and experience through the blogs. She writes all about different loan products of Fortnitemoney in detail.


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