Achieving decision autonomy with Sigmoid’s Data Democratization framework on Databricks
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According to McKinsey, data-driven organizations can boost their EBITDA by as much as 25%. However, only 8% of these organizations effectively scale their analytics to unlock this value.
With data as a key driver of decision-making today, the ability to leverage data effectively is limited for many organizations due to fragmented data storage, siloed systems and limited discoverability. Traditional data management methods often fail to streamline data access and enable robust analytics.
This blog explores how Sigmoid and Databricks have partnered to create a robust data democratization framework that enables organizations to ensure that the right people can use the right data at the right time for the right purpose.
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