Microsoft Software / SaaS United States

Esri

Real-time Analytics

In the dynamic fields of urban planning and climate science, Esri, the world's leading geographic information system (GIS) software provider, is pioneering how cities use data to confront urgent environmental challenges.

Capturing the entire city of Stuttgart in high resolution required a dataset of close to 22,000 images or roughly 4 million megapixels-that's a lot of data." Using Esri's ArcGIS software with Azure and NVIDIA Accelerated Computing can drastically lower compute times.
Esri helped the City of Stuttgart reduce its time to conduct key reality mapping from five months to 24 hours through the scale and security controls of cloud infrastructure.
Our customer used 200 GPU cloud nodes and reduced the time it took to transfer a raw dataset into a complete 3D representation from five months down to a little over 24 hours-that's a 99% improvement!
Wenzel says, "Our customer used 200 GPU cloud nodes and reduced the time it took to transfer a raw dataset into a complete 3D representation from five months down to a little over 24 hours-that's a 99% improvement!" 3D location intelligence delivered at scale Esri's ArcGIS Pro is the world leading GIS desktop software.

Reported impact

Business outcome

Esri helped the City of Stuttgart reduce its time to conduct key reality mapping from five months to 24 hours through the scale and security controls of cloud infrastructure.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

Esri built its Microsoft solution to improve analytics and decision-support workflows. In the dynamic fields of urban planning and climate science, Esri, the world's leading geographic information system (GIS) software provider, is pioneering how cities use data to confront urgent environmental challenges. Azure virtual machines ran model inference or heavy processing. Esri helped the City of Stuttgart reduce its time to conduct key reality mapping from five months to 24 hours through the scale and security controls of cloud infrastructure. Capturing the entire city of Stuttgart in high resolution required a dataset of close to 22,000 images or roughly 4 million megapixels-that's a lot of data." Using Esri's ArcGIS software with Azure and NVIDIA Accelerated Computing can drastically lower compute times. The stack stayed governed and extensible on Microsoft.

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure Virtual Machines Hosts application workloads and supporting services on Azure infrastructure.

Architecture clues

  • ArcGIS customers working with critical infrastructure require stable and secure operations that can support proper data handling and security.
  • By deploying ArcGIS on Azure, customers gain security plus scalability and agility for times of high demand.
  • Capturing the entire city of Stuttgart in high resolution required a dataset of close to 22,000 images or roughly 4 million megapixels-that's a lot of data." Using Esri's ArcGIS software with Azure and NVIDIA Accelerated Computing can drastically lower compute times.
  • Esri helped the City of Stuttgart reduce its time to conduct key reality mapping from five months to 24 hours through the scale and security controls of cloud infrastructure.

Evidence from the source

Capturing the entire city of Stuttgart in high resolution required a dataset of close to 22,000 images or roughly 4 million megapixels-that's a lot of data." Using Esri's ArcGIS software with Azure and NVIDIA Accelerated Computing can drastically lower compute times.
Esri customers can scale their work in ArcGIS by using Azure Virtual Machines , such as Azure NC-series, Azure D-series, and Azure NV-series, which use multiple NVIDIA GPUs with NVIDIA Virtual GPU technology.
Esri helped the City of Stuttgart reduce its time to conduct key reality mapping from five months to 24 hours through the scale and security controls of cloud infrastructure.
In the dynamic fields of urban planning and climate science, Esri, the world's leading geographic information system (GIS) software provider, is pioneering how cities use data to confront urgent environmental challenges.
Our customer used 200 GPU cloud nodes and reduced the time it took to transfer a raw dataset into a complete 3D representation from five months down to a little over 24 hours-that's a 99% improvement!
Wenzel says, "Our customer used 200 GPU cloud nodes and reduced the time it took to transfer a raw dataset into a complete 3D representation from five months down to a little over 24 hours-that's a 99% improvement!" 3D location intelligence delivered at scale Esri's ArcGIS Pro is the world leading GIS desktop software.
Transparency Evidence & methodology 85/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Esri customer story

    First-party
    https://www.microsoft.com/en/customers/story/20670-environmental-systems-research-institute-azure-virtual-machines
    Source type
    Vendor-published customer story
    Published
    Jan 10, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jan 10, 2025 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.