Well, you don’t have to wonder anymore. Here is a comprehensive understanding of everything data profiling entails!
In simple terms, data profiling is the process of examining, analyzing, and creating valuable summaries of data by reviewing source data!
It provides insight into the data quality issues, risks, overall trends, and the legitimacy of the data itself!
Since data is such an essential part of every business, understanding all of it is necessary. You’ll find that data profiling is a part of:
So, in simple terms, you’re improving your business with data profiling!
Data is the new oil. But with such massive streams of data, it’s difficult to make sense of it. This is where data profiling services can help!
A big part of data profiling is making sure the data itself is of great quality and credible. It finds useful information, identifies duplications and anomalies, and is even used to draw conclusions regarding company health.
After all, if your data isn’t credible, then a lot of your business choices end up doing more harm than good.
Data profiling is there to make sure every decision you take is made using clear, credible, and quality data.
When you have profiled information available to you, predictive decision-making and crisis management becomes a lot simpler. All the profiled information can reveal the small problems before they can do any harm while also revealing more opportunities.
So, not only will there be better decisions made regarding the future, but any problems that could come up are squashed!
Gathering data isn’t the biggest issue a company will have; rather, it’s the organization of said data!
With a data profiling application, companies can easily and quickly sort through data to organize it better.
It becomes easier to understand the relationship between available data, missing data, and necessary data, making sure there are solid future strategies and long-term goals!
When looking into it, there are three main forms of data profiling you’ll encounter.
A big benefit of data profiling is validating the data received. So, structured discovery, which is the validation of the data, makes sure that the math is right and the data structure is correct.
For example, understanding how many phone numbers don’t have the right number of digits.
You can only analyze the legitimacy of data through its content. If there are problems in the data, then content discovery brings them to your attention. Suppose all those phone numbers were missing an area code; you’d be alerted.
Once you have the data, you must discover how they relate. How do the different tables, spreadsheets, etc., work together? What conclusions can be drawn? And how can you reuse it?
Relationship Discovery will answer these questions leaving you with better data, more ideas, and better conclusions!
There’s an influx of data that’s increasing every day. For every company, staying on top of all this data and managing it is crucial to survival. However, management of such large volumes of data gets hard if you’re doing it manually.
Data profiling helps manage the sheer volume of data for a company. When it is organized, companies can identify trends, problems and even make decisions for the future.
With data profiling, there’s no risk of bad quality data or information that isn’t credible. So, all decisions being made are informed!
