- Reclaim Unused Licenses
- Increase Productivity
- Reduce Cost
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Productiv is easy to set up, intuitive and visual, and enterprise-grade. Before, it was almost impossible to get an accurate pulse on our software landscape and adoption, but now Productiv helps us drive adoption of our top apps through feature and team-level analytics, get visibility into all apps so we limit licenses to only apps that employees actually use, and automate repetitive tasks like license management
Mike Hamilton
Head of IT
Challenges
Limited Visibility
Shadow IT
Managing SaaS Costs and Renewals
Understanding Application Usage and ROI
Cross-Department Collaboration
Results
- Improved Planning and Renewal Process
- Time and Cost Savings
- Better Employee Onboarding and Productivity
- Increased Collaboration with Lines of Business
Managing IT During High-Growth
Databricks is a software platform that helps its customers unify their analytics across business, data science, and engineering teams. Founded in 2013, the company has experienced rapid growth in the last two years. Databricks more than tripled in size from 400 to 1,300 in 2019. With 50-80 new people joining the company each month, IT was busy managing the new scale and technology to support this growth. All with a workforce that was 30% remote before COVID.
Mike Hamilton, the Head of IT, joined during what he referred to as the “wild west phase” of start-ups. A phase with high-growth, no formal PO process, and departments frequently buying new apps and add- on licenses. As the company matured, IT needed more visibility into the SaaS portfolio and to create structure while remaining nimble. Mike saw the opportunity to think more strategically about the SaaS portfolio and partner with business groups.
Manage Process and Costs
Databricks was looking for a complete view of their SaaS portfolio. Productiv allowed them to see all the SaaS apps across the company, including Shadow IT. The platform helped IT save hundreds of hours of time on manual tasks without the need for outdated spreadsheets. IT could automate licenses within Productiv, and better prepare for contract negotiations.
Productiv provided a full view of all SaaS applications, renewal dates, and usage metrics, allowing IT to improve processes and be more strategic.
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Saas Applications
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- Discover application use and get control of wasteful spending
- Improve renewals and licensing tier decisions
- Prove whether or not your business is getting the intended value from applications
Once I know how much it costs per role, like sales person, engineer, etc., it allows me to inform FP&A a lot better on headcount forecasting and how that’s going to impact SaaS spend and budget planning. It also allows me to think better about user experience.
Mike Hamilton
Head of IT
Aligning SaaS Spend with Usage
One of the primary reasons Databrick's chose Productiv centered on in-depth usage data. The IT team is now able to use real-time data and insights to drive the right conversations across lines of business. IT could go to the head of marketing, or head of sales, and say “You’ve procured a bunch of licenses but adoption isn’t going up” or “adoption is going way up” -- that data and conversation built trust with the line of business. It drove really powerful conversations, enabling IT to help manage SaaS spend across the organization.
By being able to see not just licenses, not just logins, but actual usage -- which features are being used, when, and by which teams, IT was able to rightsize SaaS spend to drive the right conversations across the organization.
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Discovered Applications
case study
Databricks manages SaaS portfolio during hypergrowth using Productiv
Read how Databricks created IT structure and maximized ROI during rapid growth. The team leveraged Productiv to gain visibility into their SaaS portfolio and improve open collaboration between IT and lines of business.
Driving Adoption
In addition to managing SaaS spend and improved processes, Productiv helped IT drive adoption of different applications and features. When COVID-19 caused Databricks’ workforce to move to 100% remote, the team received feedback in employee experience surveys that people not turning their Zoom videos on in meetings led to lower engagement. Databricks was able to use Productiv to see real-time data on how many users, across teams, were turning their videos on during Zoom calls. This information enabled IT to improve communication and training in the organization.
Without a solution like Productiv that includes engagement data, Databricks would not have been able to understand how features like Zoom video are being used across teams.
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