In IT, the bigger the hype, the greater the misconceptions, and data analytics is no exception. Analytics, one of the hottest facets of information technology today, can result in significant business gains, but misperceptions can get in the way of a smooth and timely delivery of analytical capabilities that might benefit business users and ultimately customers.
As organizations create or expand their analytics strategies, here are a dozen myths they might want to keep in mind.
Myth 1: Data analytics requires a major investment
These days it seems as if every technology endeavor must pass through a filter of financial soundness. “How much will it cost?” is one of the first questions IT and business managers get when they propose launching a project or deploying a new tool.
Read More from This Article: 12 myths of data analytics debunked
Source: IT Strategy
