As the role of the data scientist expands, so does the “Data Lab” product category, with which data science is to be merged with the company installations required for data-driven decisions.
Add a new Data Labs platform from the technology management consultant Kin + Carta to the list, which is intended to meet the more stringent corporate requirements for more “data flow” and accompanying analyzes on recently installed digital platforms.
Kin + Carta publishes a Data Labs platform that is billed as a management hub and can be embedded in consulting and engineering services. In contrast to current Snapshot data science and engineering services, the Chicago-based technology consultant advertises its data laboratory as a provider of integrated real-time data analysis.
The Data Labs platform consists of three pillars: data product strategy and activation; Data management; and data product delivery.
The data lab rollout follows the acquisition of Cascade Labs by Kin + Carta in December 2020. Cascade Labs, based in Portland, Oregon, specializes in data science services, including integration, engineering, and data visualization.
Challenges that data lab providers are facing include creating closer working relationships among data scientists who focus on abstractions and engineering of data pipelines and other platforms designed to aid decision makers. Therefore, the data consultant is pushing for “data as a product”, not only for another software service, but also for a way to “activate” [data] fluently. “
One of the goals is to enable consumers of data to express their results in a kind of lingua franca that can help make business decisions.
Kin + Carta also announced the hiring of Cameron Turner as Vice President of Data Science late last year. Turner is a co-founder of The Data Guild, the San Francisco-based venture studio that specializes in commercializing data science platforms.
“Just as agile software development has changed the way companies deliver digital experiences, the way we think about data as a product is changing the way we all think about data,” said Turner. Ultimately, greater data fluidity between companies would improve data access and analytics, he added.
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