Discover how data-driven workflows are transforming master data management and increasing productivity. Read our article for insights and best practices.

The average employee is only productive for two hours and 53 minutes per day, accounting for only 31% of the average eight-hour workday. This lack of productivity is due to various factors, including stress, context switching, and digital distractions like social media. Additionally, the overwhelming number of daily tasks and data heaps employees must manage and transform can hinder their efficiency. 

Manual data processing should be a thing of the past, as are the data silos that have kept teams isolated in their workflows. No matter your industry, it is crucial to implement technologies that empower your team to stay productive. Master data management is critical to dismantling the cumbersome business processes of the past, allowing business teams to make data-driven decisions at a rapid pace. 

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Further increasing productivity, data automation can enable rapid analysis, reduce costs, and improve the customer experience by transforming customer data into valuable insights. McKinsey reports that “prioritizing automation has become even more important to enable success” for companies, and those who find the highest return focus on how this technology can benefit their employees.