The world of Big Data has opened new doors for organizations to deliver higher Customer Experience (CX) and achieve business proficiency. When it comes to data, it’s the quality that matters irrespective of quantity. Reliable data helps businesses whereas incorrect or bad data can lead to severe consequences, thus, wasting both money, resources, and time. According to Statista’s report, Netflix saves $1 billion every year on Customer Retention with the support of Big Data. Data Integrity matters because it enhances your corporation’s performance by allowing you to make business-friendly decisions at the right time so that you can save millions and billions. Data Integrity determines the accuracy, reliability, searchability, recoverability, and connectivity of data sets. Managing bulk data sets manually takes a lot of time and energy. That’s when the incorporation of AI (Artificial Intelligence) and ML (Machine Learning) becomes necessary to cross-check the preciseness of bulk data in minutes. As per Forbes’s analysis, 95% of business leaders who indicated they know how to use Big Data to solve business problems or gather information use Artificial Intelligence technologies. In today’s section, KR Elixir Technology will tell you how Artificial Intelligence and Machine Learning support Data Quality Management. For more information, continue reading below. 

Data Validation

A report published by Forbes says that data interactions went up by 5000% between 2010 and 2020. ML helps in determining the validity of existing data and removing redundancy with deep analysis or learning. 

Automated Data Capture 

The primary reason behind the involvement of AI and ML technologies is automation. Manual data entry and analysis of huge data sets take weeks and months whereas AI-powered tools can do the same job in minutes via “intelligent capture”. 

Identification of Duplicate Data 

Duplicate data can create unnecessary load on the system and hence must be identified and removed to maintain data quality. AI-powered management solutions check for data duplication and inconsistencies. 

Anomaly Detection

ML-based anomaly detection tools are tried and tested systems that can detect inaccuracies in the data sets efficiently and effectively. 

Data Incorporation

Data Entry takes a lot of time, energy, and human capital. The amalgam of AI and ML technologies not only detects and removes bad data but can also fill in missing data via third-party data inclusion and previous data assessments.

Forbes’s reliable study claims that 95% of businesses find managing unstructured data as a problem for their business. Achieve reliable Master Data Management with KR Elixir Technology’s Big Data Solutions. To learn more, contact our expert executives.