Data profiling is the process of examining data to determine data integrity.
We live in a world where the amount of data being collected is enormous and always expanding. In order for that data to be of any value, it must meet certain quality standards. Data that is incomplete, inaccessible, or inconsistent creates a huge risk for companies; you can’t make the correct decisions if you don’t have the correct information.
Ensuring that data fits within quality standards, or, identifying the places where data does not fit within quality standards is the aim of data profiling. By assessing data quality, you can identify the holes that lie there within, and ultimately, take control over your data.
Here is an overview of data profiling tools to help you choose which data tool is ultimately best fit for your company:
Automating the profiling process yields a huge value for your organization.
The right data profiling tools will increase data quality by eliminating errors and applying consistency to the data profiling process. Here’s How:
Data profiling tools broaden the scope and improve consistency in data quality initiatives. In the past, data profiling was done through manual queries of a data source using Structured Query Language (SQL). This meant that in order for businesses to understand their data quality, they had to rely on skilled operators using SQL.
Like any human process, this meant data profiling could be prone to error and inconsistency. By automating the profiling process, data profiling tools greatly reduce the effort and cost of analyzing data quality, while hugely increasing accuracy and overall accessibility to insights gained.
Data profiling software executes a granular investigation of the structure and interrelationships within source data. As the quantity of data for many businesses is only expanding, automation is required for data cleaning. The right data tool can help mitigate a number of data quality issues automatically and reduce their impact.
By letting the software do the ‘heavy lifting’ of sifting through massive data sets, companies can focus on the output of the profiling efforts – insights into the challenges and opportunities represented in data. Ultimately, utilizing the best data profiling tools will ensure your data is yielding its maximum value.
The sources of data collection, and the amount of data being collected is only going to expand. Your data profiling tool needs to hold capacity for both your current data needs, and future data increases.
The best data profiling tools can be easily upgraded and adapted as your business needs evolve. As your company scales, your needs will change, and the right tools will keep pace and propel your growth.
Data profiling tools that can quickly run processes on, and accept data from multiple sources will offer the best utility to the end-user. With the right tool, a variety of data sources is not an obstacle.
Data cleaning is a nuanced process, and the best data quality tools offer a multitude of functionalities; enabling profiling, elimination, transformation, standardization, and harmonization of data – all within one platform.
A good data quality tool will eliminate the heavy lifting from data preparation and cleaning. Your platform should enable simple user experience end to end, offering clear insights, and building a strong foundation for making forward-thinking decisions.
See how the leading vendors of BI tools and analytics stack up in the most respected industry analyst reports:
Value delivered, early innovation, and customer success are what make us the leading Visionary in the Magic Quadrant.
Sisense earned top rankings from customers for ease of use, ease of doing business with and quality of support.
Leader for Enterprise BI for both on-prem and in the cloud. Recognized for complex data, innovation in augmented analytics, and breadth of use cases.
“Overall Leader” for customer experience and credibility with high scores for value & integrity put us consistently above the rest.
There’s a lot to consider when choosing a tool, but a lot to be gained by making the right decision. So, in addition to the overview you’ve seen so far, look at these comparisons between Sisense and the other leading tools:
Product teams, cloud data teams, and business analysts from the world’s leading companies and global enterprises use the power of Sisense to effortlessly combine complex data from a variety of sources and build analytics apps that deliver insights to everyone in the organization.
These power users who we call builders enable other business users from a wide range of functions. . Sisense gives them the power to identify, analyze, and visualize the data that influence the course of your organization, with powerful decision-making capabilities that are potentially game-changing.
The Sisense BI and analytics platform dramatically accelerates the time it takes to build, embed, and deploy intelligent analytics apps that unleash user creativity and engagement. Whether it’s interactive dashboards, self-service analytics, or white-labeled BI apps, Sisense delivers the industry’s lowest TCO at scale.
Sisense empowers your users to make decisions and challenge assumptions by equipping them with the insights they need, when and where they need them. We help everyone in your organization drive change through powerful AI and ML solutions that deliver BI with optimal impact.
It’s not just what we do, it’s how we do it. It takes more than patented technology to make your business successful. You need the product to work in your network, with your requirements, under your constraints. And that’s when our customer-centric culture kicks in. We work with you on every installation, upgrade, and project to make sure you feel the value of your BI platform in your business.