How to Create Data Quality Rules Faster with Acceldata Torch

Bad data can lead to poor decision-making, making data quality crucial for success in today's business landscape. To ensure high-quality data, modern companies often rely on data quality policies and rules. However, configuring and managing these policies and rules can be time-consuming and mentally exhausting without the right tools. Acceldata Torch leverages advanced machine learning and AI to accelerate data quality policy and rule creation. It starts by automatically profiling your data asset and providing an interactive statistical summary with intuitive charts and graphs for better understanding. This establishes a baseline for efficiently creating data quality policies and rules. After profiling the data, Acceldata Torch makes AI-powered recommendations to streamline the process of creating data quality policies and rules. It can recommend various rule definitions such as null values, enumerations, duplicates, and custom rules based on the data asset. This significantly reduces the time required for this task compared to manual efforts. Additionally, Acceldata Torch allows users to configure their data quality policy to run on a predefined schedule and provides options for receiving notifications about rule execution events via email or Slack. Users can also easily view, edit, or delete their data quality policies as needed. Overall, implementing Acceldata Torch can save time and effort in managing data quality policies and rules, allowing businesses to focus on making informed decisions based on high-quality data.