Yet, many enterprises still think that to fully reap data’s benefits rather than simply produce or consume it, they must have completed a digital transformation. We’ve seen otherwise: organizations can extract value from data from day one, regardless of where they are in an IT transformation journey. Small, highly specific business-owned use cases are steps toward delivering long-term enterprise-wide business goals. Although immediate immersion in advanced analytics is an option, simple statistics also yield insights to improve everyday processes. Today’s state-of-the-art technology can, to name a few examples, help identify consumer trends to develop competitive digital business services; forecast credit risk to make sustainable investments; and analyze factories to optimize output.
What matters most is that the data is unlocked and available – and that the data is quality data. Data quality is standardly measured along six dimensions: accuracy, completeness, consistency, timeliness, uniqueness, validity. We believe all add up to data resilience. And importantly, resilient data provides a fertile ground to solve business-critical challenges.