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Data Ingestion & Normalization


Data ingestion and normalization in the context of FinOps represents the set of functional activities involved with processing/transforming data sets to create a queryable common repository for your cloud cost management needs. In this context, data ingestion and normalization occurs when bringing together cloud billing data, cloud usage data, cloud utilization and performance data, on-premises CMDB or ITAM data, business-specific data, and other data points from a variety of cloud providers and IT data repositories to create a collection of cost and usage information which can be queried to support and enable the FinOps Capabilities.

Effective FinOps practice requires access to regular streams of detailed usage, utilization and cost data, which can be categorized and analyzed to drive decision making. Unlike the world of on-premises data centers, there is no shortage of data on cloud usage. Cloud vendors produce massive amounts of very granular usage and cost data on which to base a FinOps practice. Monitoring platforms, security platforms, and business operations applications can also provide data that will inform on utilization, location, value and usage, oftentimes at similar levels of volume and granularity.

Maturity Assessment








Responses showed there was a shift to supplement cloud billing data with non-cloud centric data. Cohorts taking advantage of business, performance observability and CMDB data sources were operating at a higher FinOps Walk maturity level. FinOps practitioners taking their cloud cost management to the next level by including sustainability data were operating at a FinOps Run maturity




Functional Activity

As someone in the FinOps team role, I will…

As someone in a Business/Product role, I will…

As someone in a Finance/Procurement role, I will…

As someone in an Engineering/Operations role, I will…

As someone in an Executive role, I will…

Measure(s) of Success & KPI

Measures of success are represented in the context of cloud costs and may include one or more key performance indicators ( KPI ), describe objectives with key results ( OKR ), and declare thresholds defining outliers or acceptable variance from forecasted trends.


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Related Domains

Featured Resources

FinOps Terminology

FinOps Terminology

Key Ingredients to FinOps Are Data Ingestion & Normalization - Gina Berg & Jason Rhoades (Intuit)

Key Ingredients to FinOps Are Data Ingestion & Normalization - Gina Berg & Jason Rhoades (Intuit)