Compare the Top Spend Analysis Software that integrates with Looker as of May 2026

This a list of Spend Analysis software that integrates with Looker. Use the filters on the left to add additional filters for products that have integrations with Looker. View the products that work with Looker in the table below.

What is Spend Analysis Software for Looker?

Spend analysis software enables organizations to analyze spending and identify risks and trends related to spending and accounts payable (AP). Spend analysis software can generate spend analytics and insights on how an organization can improve spending. Compare and read user reviews of the best Spend Analysis software for Looker currently available using the table below. This list is updated regularly.

  • 1
    Rippling

    Rippling

    Rippling

    Manage all your employee spending with Rippling Spend. Consolidate, automate, and control corporate cards, expenses, bills, and payroll in one place. Rippling removes the need for multiple systems, automates manual reconciliation, and provides control over company spending. Simplify closing the books and gain clear visibility over all expenditures. Experience seamless spend management with Rippling.
    Starting Price: $8 PEPM
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  • 2
    SpendView

    SpendView

    Analytics8

    SpendView is a comprehensive Spend Analytics solution that consolidates, cleanses, and classifies all spend-related data in one place, giving organizations full visibility across all of their spend. With SpendView, take control of your spend, make better purchasing decisions, and identify savings opportunities that directly impact the bottom line. Determine the potential savings from eliminating rogue spend and consolidating suppliers. See how vendors are performing against your corporate goals. Determine how many vendors and how much spend are associated with your categories. Consolidate, cleanse, and classify your spend data- without relying and waiting on a third party. You determine the rules to be applied to your data, the taxonomy, when to refresh your data, and to what level to classify your data. You can answer your own questions and do analysis on your own time. Customize reports and visuals, and bring in additional data sources to deepen your analysis.
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