AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Microsoft Azure Data Lake Storage Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Ferrovie dello Stato Italiane Transportation 582 $180M Italy Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2022 n/a In 2022, Ferrovie dello Stato Italiane deployed Microsoft Azure Data Lake Storage as the core Cloud Storage backbone for a drone, artificial intelligence and augmented reality enabled construction site monitoring program led by its subsidiaries Italferr and FSTechnology. The initiative began as a 2019 proof of concept on the Napoli to Bari high speed line and evolved into a multi year project encompassing approximately 195 construction sites and some 650 personnel involved in site monitoring and analysis. The implementation uses Microsoft Azure Data Lake Storage to scale and classify mission data gathered by drone surveys, with Azure Data Factory orchestrating ingestion pipelines and Azure Functions performing post processing of imagery. Azure Synapse aggregates the processed datasets for reporting, while Power BI delivers visualization and dashboards, and Azure Data Explorer is used for photo and telemetry analysis. Azure Cognitive Services and custom machine learning models are applied to detect environmental anomalies such as illegal landfills, leaks and other critical defects, supporting automated quality checks and digital twin generation. Architecturally the solution connects onsite drone missions to a centralized cloud repository, with Seikey operating survey flights and initial post processing before handing data into the Microsoft cloud stack. The workflow produces 3D digital twin models of construction sites that are consumed by engineers offsite via Microsoft HoloLens for augmented reality visualization and by Microsoft Teams for live collaboration, creating an end to end data flow from field capture to remote inspection. Governance and process change accompanied the technical rollout, shifting construction management from paper based and manual inspection routines to digital, data driven workflows and centralized storage policies in Cloud Storage. The programme moved from pilot governance to scaled operations, standardizing survey schedules, classification schemas in Azure Data Lake and AI model governance for anomaly detection to support consistent quality assurance across sites. Outcomes reported by project stakeholders include faster and more efficient monitoring cycles, reduced time and costs for inspections, improved qualitative inspections through AI assisted analysis, and the ability to reallocate specialist engineers to higher value decision making. The team is planning to extend the architecture to post construction maintenance monitoring and to export the methodology to international projects.
Goodman Group Construction and Real Estate 971 $1.2B Australia Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2020 n/a In 2020, Goodman Group implemented Microsoft Azure Data Lake Storage as its primary Cloud Storage repository to centralize enterprise data for construction and real estate operations. Microsoft Azure Data Lake Storage was provisioned to serve as a consolidated storage fabric for asset, project, operational and financial datasets, enabling centralized data management and analytics workflows across the business. The implementation emphasized category-aligned capabilities of Microsoft Azure Data Lake Storage, including scalable object storage with a hierarchical namespace, support for both structured and unstructured datasets, metadata indexing and lifecycle management. The configuration incorporated role based access controls and encryption at rest, and was organized to support data ingestion pipelines, partitioned landing zones and governed data zones for analytical consumption. Operational scope covered data engineering and analytics teams supporting asset management, portfolio reporting and operational decisioning, with governance centered on centralized access policies, retention rules and role based permissions. Deployment choices focused on modular storage zones and policy driven data lifecycle, enabling standardized data handling across Goodman Group without reference to a named prior system.
Kao Manufacturing 32566 $11.3B Japan Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2023 n/a In 2023, Kao implemented Microsoft Azure Data Lake Storage as a core element of its K25 SAP on Azure program, aligning the company’s data platform strategy with its global SAP renewal and cloud migration initiatives. The deployment was positioned to support Kao’s goal of unified global reporting across Asia, Europe, the US, and Japan and to feed analytics and surround systems used in finance, sales, production, procurement, and inventory management. Microsoft Azure Data Lake Storage was configured as the primary Cloud Storage layer for consolidated enterprise data, receiving staged extracts from SAP BW and other surround systems. The implementation included structured landing zones and curated layers to support Azure Synapse Analytics consumption, and it used Azure Active Directory for single sign-on and SAML authentication to maintain centralized identity and access control. The data lake implementation was integrated with Kao’s SAP on Azure architecture and adjacent Azure services, notably Azure Synapse Analytics for analytics workloads and Azure platform services used across the SAP landscape. Connectivity and hybrid operations relied on Azure ExpressRoute for stable on-premise connectivity, and the broader solution coexisted with Azure NetApp Files that provides HANA storage, backups, region-to-region replication between Japan East and Japan West, and mechanisms for rapid system refreshes used in development and verification workflows. Governance and operational coverage were defined to support global standardization of codes and configurations as part of the K25 program, enabling centralized data access for business units across Kao’s Hygiene and Living Care, Health and Beauty Care, Life Care, Cosmetics, and Chemical businesses. Kao reported early operational benefits tied to Azure services, including reduced monitoring overhead using Azure Monitor, efficient backup and DR patterns, and cost and operational efficiencies from using Azure platforms, while the global rollout and SAP S/4HANA migration program continued with Accenture and Microsoft collaboration.
Professional Services 100 $30M Canada Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2019 n/a
Professional Services 221000 $243.0B United States Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2019 n/a
Construction and Real Estate 7289 $1.3B Australia Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2019 n/a
Professional Services 5328 $3.7B United States Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2022 n/a
Professional Services 2000 $300M United States Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2021 n/a
Manufacturing 29207 $4.1B Austria Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2020 oh22
Banking and Financial Services 7300 $1.7B Germany Microsoft Microsoft Azure Data Lake Storage Cloud Storage 2021 n/a
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Buyer Intent: Companies Evaluating Microsoft Azure Data Lake Storage

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Azure Data Lake Storage. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Microsoft Azure Data Lake Storage for Cloud Storage include:

  1. Tata Group, a India based Professional Services organization with 1028000 Employees

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