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Operationalised Analytics

⊿ Point. {R} Glossary. ◢ Keyword: O. ▰ Sources. 〓 Books [B] ◥ University. {q} PhD. ⏫ THEMES. ⏫ Big Data. [B] Big Data. ⚫ USA. ↂ EndNote. ☢️ Text. ☢️ Adv Analytics. ☝️ BD Dummies. Operationalized Analytics. Organizations with a high “Analytics IQ” have strategy, culture and continuous-improvement processes that help them identify and develop new digital business models. Powering these capabilities is the organization’s move from ad hoc to operationalized analytics. Seamless data flow Operationalized analytics is the interoperation of multiple disciplines to support the seamless flow of data, from initial analytic discovery to embedding predictive and prescriptive analytics into organizational operations, applications and machines. The impact of the embedded analytics is then measured, monitored and further analyzed to circle back to new analytics discoveries in a continuous improvement loop, much like a fully matured industrial process.

An example of operationalized analytics is the industrialized AI utility depicted below. Four functions of an industrialized AI utility. Operationalized analytics encompasses the following: Like this: Like Loading...