Scaling data-driven insights across a complex global organization with Looker and BigQuery

Опубликовано 15 сентября 2020, 16:25

SpringML and Iron Mountain share how migrating data to Google Cloud not only saved hundreds of thousands of dollars in licensing consolidation but allows stakeholders across a complex global organization to:

- Consolidate 1,200 data management applications into one data lake
- Unify information governance practices across disparate corporate verticals and departments
- Provide a single view of operational and customer data for enhanced decision making across 43 countries and 200 acquisitions
- Unlock the power of data science and predictive analytics

Standardizing across varying systems and processes onto one platform took just a matter of weeks for a project that could have taken about a year. SpringML and Iron Mountain share how this was done, lessons learned, and next steps for their collaboration adopting Looker and BigQuery into Iron Mountain.

Speakers: Jarrett Garcia, Harish Kuram

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DA113
product: BigQuery, Looker, Cloud Dataflow;


event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - Data Analytics - BigQuery; fullname: Jarrett Garcia, Harish Kuram; event: Google Cloud Next 2020;