At Qualytics, we’re built to superserve both business and data teams. Working with enterprises of various sizes, Qualytics recognizes the need for and delivers a comprehensive DQ framework, enabling teams to collaboratively manage their DQ end-to-end at scale as part of their Data Governance frameworks. Learn More: https://lnkd.in/eHdWRTsM #dataquality #datagovernance #qualytics #bigdata
Think data quality is a data team problem? Think again. Technical data teams focus on technical data quality - think volumetrics, freshness, conformity. Did I get the right amount of data at the right time and are they in the right formats? It’s what your plumber does to ensure all your pipes in your house are working. Data stewards from business teams focus on business data quality - think accuracy, precision. Is my data adhering to my business expectations? It’s what the municipality water expert does to make sure you don’t drink brown, dirty water. The combination of technical and business data quality is what we need to ensure data is fit for purpose; and for that, you have to centralize efforts in a unified platform that truly enables both personas. Having seen this in finserv, healthcare and supply chain is why we started Qualytics, bridging the chasm between technical and business teams and making DQ a joint responsibility across domains with centralized governance. #dataquality #qualytics #genai #datagovernance #bigdata