Empower Data Quality by Bridging Business and Technology
BUSINESS CHALLENGE
Inconsistent data quality across business processes caused delays in reporting and impacted the accuracy of decision-making. Lacking a standardized approach for translating business data quality rules into technical queries led to frequent errors and required manual corrections.
SOLUTION IMPLEMENTED
Implemented a data quality platform that allows both business and technical users to collaboratively develop and apply data quality rules. Users can define rules in natural language, which are then translated into SQL queries for execution on data stored in a database.
RESULTS & ROI
ACCURACY
Enhanced data quality across business processes, leading to more reliable insights and informed decision-making, which reduced errors and improved operational efficiency.
TIME SAVINGS
Automated translation of business rules into SQL queries saved significant time by reducing manual data processing tasks, allowing teams to focus on higher-value activities.
COLLABORATION
Enabled seamless collaboration between business and technical users, fostering a more agile approach to data management and aligning data standards.
TECHNOLOGY
PLATFORM
To store and process large volumes of data, providing a centralized platform for data management.
SERVING
To delivers an intuitive interface, enabling both business and technical users to collaborate on data quality rules.
AI
Automatically generates SQL queries from natural language descriptions, making it easier to apply data quality rules without technical expertise.