Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. Analytics engineering as a career encompasses many fields, and is closer to software engineering than conventional data analytics since it involves writing programmatic scripts and generally maintaining data as a living set of software-produced artifacts. Analytics Insight brought this interesting topic to us in their article, “The Rise of the Analytics Engineer.”
As data tools changed, so did the people who used them. The traditional data team is dissolving. Business users want to self-serve and be data-driven.
The rise of the analytics engineer is a reflection of the complexity of data cleaning and semantic modeling. Through our classification and indexing engine, Data Harmony provides concept identification and extraction to recommend terms and complete your semantic model.
Making data accessible and useable is something we know a little about. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
