Abstract: A software as a service (SaaS) management platform, includes: a plurality of connectors configured to access a respective plurality of SaaS applications, wherein said connectors are used to obtain customer event data from SaaS applications to which customers subscribe; an aggregation job that periodically aggregates the event data for each SaaS application over a moving time window to generate customer usage data indicating use of SaaS application features; a benchmark background job that anonymizes the customer usage data for the SaaS applications across the plurality of customers of the SMP to generate anonymized usage data; a benchmark backend that, responsive to a request from a client device, reads the anonymized usage data for a given SaaS application, defines a cohort of anonymized customers, generates benchmarks defining median use of respective features of the given SaaS application by the anonymized customers, and returns the benchmarks to the client device.

Abstract: A method implemented in a software as a service (SaaS) management platform, includes: accessing a respective plurality of SaaS applications, to obtain customer event data from SaaS applications to which customers subscribe; periodically aggregating the event data for each SaaS application over a moving time window to generate customer usage data indicating use of SaaS application features; anonymizing the customer usage data for the SaaS applications across the plurality of customers of the SMP to generate anonymized usage data; responsive to a request from a client device, reading the anonymized usage data for a given SaaS application, defining a cohort of anonymized customers, generating benchmarks defining median use of respective features of the given SaaS application by the anonymized customers, and returning the benchmarks to the client device.

Abstract: A non-transitory computer-readable medium having program instructions for a method implemented in a software as a service (SaaS) management platform, includes: accessing a respective plurality of SaaS applications, to obtain customer event data from SaaS applications to which customers subscribe; periodically aggregating the event data for each SaaS application over a moving time window to generate customer usage data indicating use of SaaS application features; anonymizing the customer usage data for the SaaS applications across the plurality of customers of the SMP to generate anonymized usage data; responsive to a request from a client device, reading the anonymized usage data for a given SaaS application, defining a cohort of anonymized customers, generating benchmarks defining median use of respective features of the given SaaS application by the anonymized customers, and returning the benchmarks to the client device.

Abstract: A method implemented in a software as a service (SaaS) management platform, includes: receiving a plurality of contract files relating to purchases of a SaaS application; identifying terms in the plurality of contract files; assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; generating anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; responsive to a request from a client device, accessing the anonymized contract data to generate a distribution of terms of the anonymized contract data, generating benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returning the benchmark data to the client device for rendering through a user interface.

Abstract: A software as a service (SaaS) management platform, includes: an uploader process for receiving a plurality of contract files relating to purchases of a SaaS application; parsing logic that identifies terms in the plurality of contract files; normalization logic for assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; a background process that generates anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; a backend process that, responsive to a request from a client device, accesses the anonymized contract data to generate a distribution of terms of the anonymized contract data, generates benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returns the benchmark data to the client device for rendering through a user interface.