Data is at the heart of the digital transformation journey. It is foundationally used by people, processes, and technology to transform how work is done. Data must be valid, reliable, and accurate for its use everywhere and by everyone across the enterprise—engineers, operators, digital leads, CEOs, IT analysts, data scientists, etc.
Bad data creates bad outcomes. Poor data quality costs the average company more than 15% of their revenue each year. Data integrity/quality is the necessary layer between the source—data acquisition & storage in historians, data lakes, SCADA—and the applications of that data—visualization, analytics, predictive models, optimization, and custom AI tools. Without it, projects and outcomes are destined to fail.