Optimizing Data ROI
How can Data Engineers hit their cost reduction KPI
Live WebinarThursday, December 5th, at 11:00 AM EST
Data Engineers are the first to understand the value of measuring performance with data yet are often the last to prove the value of their own work. While proving Data ROI can be a difficult task, showcasing data delivery efficiency and cost reduction to drive up data ROI, doesn’t have to be such.
As many data engineering teams turn to a modern data management approach, centered around a cloud data warehouse such as Snowflake and using consumption base data models, delivery speed is rising but so is complexity and cost. So how do you hit your data management cost reduction goal?
Join this masterclass to learn how leading companies like Artlist managed to deliver data 4X faster and reduce their Snowflake costs within 30 days. In this webinar we will demonstrate:
– The key ingredients of an efficient data architecture
– How to accelerate data delivery
– How to clearly see data optimization opportunities
– How lineage from data pipelines to the BI layer reveals the impact of your data work
– How to accelerate data delivery
– How to clearly see data optimization opportunities
– How lineage from data pipelines to the BI layer reveals the impact of your data work
Discover Rivery. Do more. Pay less.
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Antoine Lefebvre
Data Engineering Product Owner at
BlaBlaCar
Migrating Facebook ads took us 1 week to implement. Before that, we had to update the APIs every 3 months and our analysts would be blocked for days. For another source we used 2 APIs and in 1/2 day our pipelines were operational.
Ranajay Nandy
Vice President, Analytics at
Citizen Watch America
Rivery's out-of-the-box starter kits are amazing. It helped us build our initial data pipelines really fast and meet our initiatives objectives right out of the gate.
Romilly Hills
Data Engineer Team Lead at
TotalMedia
Before Rivery, it took us 2 weeks to build a new connector. Now, we can do it in half a day.
David Piazza
Data & BI Analyst at
Sweet inn
It now takes our BI teama fifth of the time to generate reports our teams need in order to make the most crucial business decisions.
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