Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Meet Cherre
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.
The Challenge
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.
The Solution
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.
Results
- Enabled massive amounts of geocoding in short timeframes while meeting SLA requirements
- Achieved significant cost savings in data integration, physical entity resolution, and analytical insights
- Provided customers with accurate and timely real estate data insights while saving resources in manual data processing
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
BigQuery Optimization
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.
See how DoiT helps cloud teams control spend
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
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
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Claroty unlocks precise customer cost attribution with Attribute™
- 1,000+
- Customers protected worldwide
- Days
- Time to first granular cost reports
- Zero
- Disruption to operations during deployment
Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
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
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Claroty unlocks precise customer cost attribution with Attribute™
- 1,000+
- Customers protected worldwide
- Days
- Time to first granular cost reports
- Zero
- Disruption to operations during deployment
What they say
On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
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
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.