Data Profiling Services

Are you looking for data profiling services but don’t really know what to expect?

Well, you don’t have to wonder anymore. Here is a comprehensive understanding of everything data profiling entails!

What is Data Profiling?

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:

  • Data warehouse and business intelligence projects that showcase what needs correction in ETL
  • Data conversion and migration projects where it uncovers issues and new requirements the system needs to meet.
  • Source system data quality projects wherein data profiling can uncover the source of the issue.

So, in simple terms, you’re improving your business with data profiling!

How data profiling can benefit your business

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!

Better data quality

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.

Decisions and Crises

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!

Organization

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!

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What are the kinds of data profiling services?

When looking into it, there are three main forms of data profiling you’ll encounter.

Structure Discovery

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.

Content Discovery

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.

Relationship Discovery

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!

What's the importance of data profiling?

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!

Frequently Asked Questions:

What are some good practices of data profiling?

There are some basic techniques of data profiling:

  • Distinct count and percent: Natural keys, distinct values in each column, and such are identified.
  • Percent of zero: Identifies missing or unknown data
  • String Length: Helps select the necessary data types and sizes in the target database

What are data profiling tools?

Simply put, data profiling tools are specifically designed to help developers create applications to scrutinize data. These tools use analytical algorithms and play a vital role in the process of data profiling.

What are the steps of data profiling?

The art of data profiling can be summarized in a few steps:

  • Understanding whether the data available is correct for a project
  • Correcting the issues in the source data
  • Identifying further issues while moving from source to target
  • Identifying unanticipated problems and using them to fine-tune the process.

Where do you start?

Data profiling involves incredible amounts of data, so figuring out where to start is a legitimate problem. There’s also the issue of trying to decide between building an in-house data tool or buying one.

With so many issues, it isn’t easy to understand where to begin. Well, the first step is identifying the different data domains and verifying that they are credible sources! Once you’ve started, you’re on your way to clean, organized, and better quality data!

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InfoCleanse (Sam Wilson)