MicrosoftExpandedProductionEvidence: Medium65/100

Komatsu Australia Unifies Data and Accelerates Business Insights

Komatsu Australia, a leading machinery manufacturer, struggled with siloed data spread across multiple platforms, causing accessibility issues, delays, and operational inefficiencies. They embarked on a digital transformation journey to unify data sources, achieve real-time analytics, and empower both employees and customers with actionable information. The company chose TimeXtender Discovery Hub implemented on Microsoft Azure cloud, leveraging Azure SQL Database Managed Instance as a consolidated data store. Power BI was rolled out for business intelligence, providing dynamic dashboards for decision-making. This transformation has enabled significant cost and performance improvements, streamlined reporting, minimized risk of data errors, and improved clarity for management and staff. Telemetry data from over 30,000 active machines is now unified, enabling more advanced analytics and insights. Future plans include expanding AI predictive analytics and increasing mobile and desktop access to business intelligence. Data across multiple systems created delays and risked errors, making analysis slow and manually intensive. Stock and part reports that took up to 10 hours now run instantly, improving inventory management and transparency. Staff and customers now access unified, accurate information instantly, enabling better service and informed decision making. Komatsu’s platform now processes roughly a million records per day and scales as data volumes grow. Employees across the company are supported by Power BI dashboards, and customers benefit from insights derived from IoT telemetry data. Komatsu expects the new data platform to be a blueprint for global operations, with scalable Microsoft cloud services set to support decades of growth.

Organization
Komatsu Australia
Location
Australia
Published
August 2019

Reported outcomes

−49%

costCost savings

25-30%quantified impact

Strategic outcomes

Better decisions & insightImproved decision making with unified insightsRisk & complianceMinimized data error riskCustomer experience & trustEnabled instant access to accurate informationNew product / capabilityUnified IoT telemetry for analytics
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 49% decrease

news.microsoft.comAug 1, 2019News articleInferred claimMedium evidence strength

Reduced data management costs by 49%.

Normalized claim

Quantified impact: 25-30%

news.microsoft.comAug 1, 2019News articleInferred claimMedium evidence strength

Achieved 25-30% performance improvements on data operations.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Komatsu Australia
Provider
Microsoft
Maturity
Production
Linked source
news.microsoft.com

Komatsu Australia, a leading machinery manufacturer, struggled with siloed data spread across multiple platforms, causing accessibility issues, delays, and operational inefficiencies

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Unified Data Platform for Industrial Operations
  • 2Real-Time Analytics for Field Equipment Fleets
  • 3IoT Telemetry Integration into Business Intelligence
  • Data was fragmented across multiple, disconnected systems.
  • Employees spent up to 20-30 minutes preparing information before customer visits.
  • Manual aggregation introduced risk of data errors and inconsistencies.
  • Stock reports sometimes took up to 10 hours to generate.
  • Lack of unified, real-time insights held back data-driven decision making.
  • Developed an integrated data management and analytics platform on Microsoft Azure.
  • Used TimeXtender Discovery Hub for ETL and managing unified data estate.
  • Implemented Azure SQL Database Managed Instance as the single source of truth.
  • Azure Analysis Services and Power BI dashboards provided real-time analytics and reporting.
  • Leveraged IoT telemetry data from over 30,000 machines for analytics and insights.
  • Reduced data management costs by 49%.
  • Achieved 25-30% performance improvements on data operations.
  • Halved time for report generation across key processes.
  • Minimized risk of data errors by using a single unified platform.
  • Improved decision making with better transparency and access to data.
Architecture

The solution integrates TimeXtender Discovery Hub running on Microsoft Azure Cloud, which manages all data ETL processes. Unified data is stored in Azure SQL Database Managed Instance, serving as a single source of truth. Data is further processed in Azure Analysis Services, making it available for company-wide analytics and reporting through Power BI dashboards. IoT telemetry from machinery is collected and incorporated into analytics workflows.

Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Independent source available
  • Quantified outcome available
  • Technical implementation details available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2024.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: News ArticlePublished: Aug 1, 2019Publisher: news.microsoft.comEvidence: SecondaryConfidence: Low

AI-generated summary. Verify important details with the linked sources before relying on this case.

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