Start Consolidating datamarts

Consolidating datamarts

Two major components of healthcare spending involve the cost of providing care and associated administrative costs.

Those limitations have led to a proliferation of formal and informal data marts, which silo data and add cost and administrative overhead.

Snowflake’s unique architecture makes it possible to consolidate data marts.

You can amass your data in Snowflake to support your current and future workloads and concurrency without performance contention, enabling the flexibility and agility needed to adapt to evolving demands.

Snowflake’s patented multi-cluster, shared data architecture makes it possible to support any scale of data, workload, and users.

Consolidation eliminates redundancy because data is stored in only one place and therefore delivers a single version of the truth.

The data thus becomes a more valuable resource to the company.

Many of today's leading organizations credit their success to the consolidation of their data marts into integrated, enterprise-level data warehouses.

Nearly 60% of companies currently maintain up to 30 data marts, while some report having as many as 100.

Companies won't suffer the lag time that comes with loading data into multiple locations, but rather eliminate data inconsistencies.

Users will also enjoy direct access to all the high-quality data they need.

Data consolidation refers to the collection and integration of data from multiple sources into a single destination.