Digital Analytics
Chapter 1:
The Analytics Translator
Data
Companies have invested millions of dollars in big data and analytics,
but recent reports suggest most have yet to see a payoff on these
investments.
In an age where data is the new oil, how are smart companies
extracting insights from these vast data reservoirs in order to fuel
profitable decisions?
Enters: The Data Team
A data team comprises 3 main roles:
-
Data Engineer
Responsabilities: Data Pipelines, Data processing -
Data Scientist
Data Wrangiling, Data Analysis -
Analytics Translator
Data Storytelling / Visualization
Analytics Translator
Analytics translators are neither data architects nor data engineers. They’re not even necessarily dedicated analytics professionals, and they don’t possess deep technical expertise in programming or modeling.
They play a critical role in bridging the technical expertise of data engineers and data scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and other frontline managers. In their role, translators help ensure that the deep insights generated through sophisticated analytics translate into impact at scale in an organization.
HBR