Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Commercial Real Estate decision-makers face the daunting task of obtaining and analyzing precise property and market information to make smarter, faster decisions. Cherre has emerged as a leading force in Real Estate data and insights, creating a unique single source of truth for its customers by integrating their internal, public and paid data sources. This empowers customers to evaluate opportunities and trends quickly and accurately, translating into significant cost savings in terms of data integration, physical entity resolution, and analytical insights.
Cherre faced critical challenges in accurately resolving relationships between physical entities like buildings and associating vast amounts of information with these entities. The physical entity resolution problem involved semantics, legal definitions, property registration practices, and geographic scale issues. Cherre needed to rapidly and accurately resolve building identity to link disparate datasets from multiple sources while staying within service level agreements.
Cherre uses Google Maps Geocoding API and Places API to analyze and convert millions of street addresses into geocodes. DoiT assisted Cherre in providing Google with detailed information to increase the rate of address resolution procedures. This enables massive geocoding in short timeframes. Cherre then utilizes BigQuery Geospatial for spatial analysis to rapidly link and integrate datasets. DoiT's consultancy helps Cherre plan, manage and optimize BigQuery activities through the DoiT Console and BigQuery Lens functionality.
By leveraging a range of Google Cloud and Maps products and the expertise of DoiT, we have been able to solve critical challenges, such as entity mapping and address reconciliation, while saving considerable resources in data integration and analytics costs.
Kyle Lussier, Data Engineer
Once all the datasets have been geocoded, Cherre utilizes the powerful spatial analysis functionality of BigQuery Geospatial to rapidly link and integrate the datasets. DoiT's consultancy and technology have been instrumental in helping Cherre plan, manage and optimize its BigQuery activities. Via the DoiT Console, Cherre can observe and control BigQuery costs with the multi-report breakdown capabilities, utilize the BigQuery Lens functionality, and share optimization insights with the rest of the organization.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
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