Why Data Share?
Data Share delivers automated, near real-time access to clean, structured CMMS datasets, so your teams spend less time preparing data and more time acting on it. Empower business intelligence (BI), operations and data science teams with analytics-ready views built for real-world use cases, and drive confident, cross-functional decisions with data you can trust.
Access near real-time CMMS data to eliminate reporting delays and support faster, informed decisions across teams.
Streamline recurring data tasks by automating exports or queries, minimizing time spent on prep, cleaning and error correction.
Easily export enriched data to your existing platforms, enabling deeper analysis, planning and compliance tracking across the business.
Featured capabilities
Data Share — Base Tier
Get daily-refresh access to core operational datasets and automated exports of core CMMS data with no manual effort. Structured datasets for assets, work orders and inventory connect easily to your BI tools via CSV or simple connectors — making this the best option for teams needing reliable CMMS data for regular reporting.
Data Share — Enterprise Tier
Get near real-time access with refreshes up to every 30 minutes. Enterprise-ready data for budgets, inventory, staffing and compliance supports flexible exports for live dashboards and automated reporting. Structured and aligned to real-world operations, this tier is built for large, multi-site organizations that need near real-time CMMS insights across the business.
Data Share — Enterprise Plus Tier
Leverage near real-time access and enterprise-ready data, plus additional features. With advanced trend analysis using asset and work history and data science-ready datasets built for predictive models and correlations, this option is ideal for AI/ML exploration by analytics teams.
Discover how others use Data Share
Revolutionizing asset management with IoT and data
MSI Express monitors assets across plants using near real-time data for clear insights. “Without data, we can't make any decisions. I can use Asset Essentials to go and plan my purchases,” shared Michael Tran, CMMS Manager.
Creating transparent public facilities maintenance
Data Share helps Chief of Operations Brian Forde Jr. set goals and KPIs: “It helps us establish clear benchmarks for performance, track progress and ensure that we’re aligning our efforts with overall strategic priorities.”
Washoe County saves 100 hours of manual work
Operations Director Aaron Smith added Data Share to strengthen reporting and analysis: “Data Share and Asset Essentials not only guide operational decisions but also show what we can achieve with available resources.”
Frequently asked questions
What is Siemens’ Data Share and how does it help organizations?
Siemens’ Data Share provides automated, near real-time access to clean, structured CMMS datasets. It helps organizations by centralizing valuable asset, work and IoT data that might otherwise remain siloed in systems. Teams spend less time on data preparation and more time uncovering actionable insights for confident decision-making.
What are the core features of Data Share?
Data Share offers automated, structured access to CMMS datasets without manual exports or complexity. It provides pre-built, analytics-ready views designed for common use cases like assets, work orders and parts. This empowers business intelligence (BI), operations and data science teams to make confident, data-driven decisions across functions.
How does Data Share improve operational efficiency and decision-making?
Data Share eliminates repetitive manual effort through automated refreshes and pre-built views, reducing the risk of error. It unifies CMMS and IoT data, enabling actionable insights across maintenance, operations and planning. Access to near real-time operational data, refreshed as frequently as every 30 minutes, supports accelerated, data-driven decisions.
Can Data Share integrate with existing business intelligence (BI) tools and data platforms?
Data Share seamlessly integrates with BI tools like Power BI, Tableau and Excel and allows export into enterprise platforms such as Snowflake, Redshift or MS SQL Server (on Azure or AWS). This flexibility helps ensure clean, structured data can be utilized across your entire data ecosystem for deeper analysis and advanced analytics.