3 Data Problems That Can Be Solved with Data Observability

Gartner predicts that only 20% of data and analytics will result in real business outcomes, highlighting the need for enterprises to address deeply entrenched data problems such as silos, inaccessible data/analytics, and over-reliance on manual interventions. Acceldata offers a multidimensional data observability solution that can help data teams avoid these issues and achieve better business outcomes. Data engineering teams can use this approach to address three significant data problems: data silos within the enterprise, poor quality plus inaccessible data and analytics, and relying only on manual data interventions. By leveraging AI and automation, Acceldata's suite of data observability solutions helps even small data teams improve their analytic capabilities and achieve better business outcomes from their data initiatives.