Unmasking your organization's data problem


Published September 2021


Most of us think of big data problems as being about volume. The truth is every organization has data issues beyond volume that have been masked in a number of different ways. First, many organizations don’t realize that a lot of interesting data is thrown away or is just not accessible. Some examples include data like user activity in the application; the telemetry of the infrastructure hosting the application; or older versions of data that are no longer compatible with current table schemas.

While becoming a data-driven organization won’t happen overnight, pinpointing your data challenges, organizing a plan for how you will serve your customers, and empowering your teams to deliver the right value at the right time are steps in the right direction.

Every organization has a big data issue that has been masked in different ways.

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