We don’t know who exactly coined the phrase, "garbage in, garbage out,” also known as GIGO, but the term serves as a great metaphor for the relationship between data and marketing.
While every enterprise is drowning in data, marketers have a particularly herculean task in wrangling it. A marketer’s function becomes even more complex as MarTech stack proliferation and fragmentation causes their data to splinter into more and more silos. Often times, the result is “garbage in, garbage out,” whether it be inaccurate reporting, poor decision-making, and so on. With big data, comes big responsibility. So, what can brands do to improve the quality of their own data?