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storyJapanHealth CareProductivityRisk and complianceCapability

Story

Qlik@Astellas

Astellas Adopts Qlik for Applied Machine Learning

Astellas, a health care organization in Japan, uses Qlik Replicate from Qlik to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
Risk and complianceQlik Replicate is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew joiners can see how applied machine learning actually runs

Story

Astellas did not need another dashboard that nobody opened. It needed applied machine learning to move. In Japan, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Qlik Replicate from Qlik is now in that path. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.

Astellas can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.

Relationship map

Astellas uses Qlik, PagerDuty, Netskope, Dynatrace, Smartsheet, Veeva. Shared with Air India, Alcoa, Aldi, Asahi Group, AtkinsRealis. Industry: Health Care. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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