Businesses spend enormous amounts of time and resources on data extraction but lose the context that gives it value.
Data is the lifeblood of any business. That's why organizations spend countless hours extracting it from internal and external applications, then reassembling it to generate critical insights. Data severed from its vital relationships can't deliver the insights businesses need to make sound decisions. To fill the gaps, IT and business teams spend up to 80% of their time trying to recreate its original context, often using expensive tools or error-prone manual reconciliation procedures. It's an immensely frustrating, costly, and time-consuming process — a sort of hidden data tax that organizations must pay to understand and improve their own operations.
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