By Maile Farnow - May 19, 2020
As part of the Summer 2020 edition of Big Data Quarterly, Joe McKendrick from Database Trends and Applications spoke with analytics and infrastructure leaders and explored the urgent need to flip the 80/20 rule that is burying data analytics initiatives.
There are hundreds of applications of the 80/20 rule, but in analytics it’s particularly pernicious. Because data analysts spend 80% or more of their time finding, cleansing, and organizing data, they’re only able to devote 20% of their time to the most critical tasks of business analysis and synthesis. Joe interviewed Sisu CEO and Founder Peter Bailis who said:
“You can’t afford to spend hours cleaning up data, nor can you waste time worrying whether your data is good enough.”
“It’s easier than ever to collect and aggregate data with a wide array of flexible cloud data warehouses and cloud-native data pipeline tools. There’s a premium on every analyst’s time and attention and it takes too long to properly diagnose and assess the impact of every potential change. To combat this imbalance between cheap data and expensive people, teams can look to adopt platforms that augment their ability to rapidly diagnose changing KPIs and recommend next steps collaboratively.”