Strev's reporting and analytics platform covers five operational domains: asset utilization and lifecycle analytics, maintenance performance reporting (completion rates, resolution times, cost trends), work order and workflow analytics, inventory and stock level reporting, and vendor and contract performance analytics. All reporting draws from live platform data across every module — asset records, maintenance tasks, work orders, inventory, and vendor records — with no data export or cross-system assembly required. Reports are available on-demand through the report builder, as real-time dashboard views, via natural language queries to StrevAI, and as scheduled automated deliveries to configured recipients. Predictive analytics are layered on top of historical reporting through the StrevAI intelligence engine.

Yes. Strev's operational analytics dashboard updates continuously from live platform data — there is no reporting cycle, no scheduled refresh, and no polling delay. When a maintenance task is completed, the dashboard completion rate updates immediately. When an asset status changes, the utilization metrics reflect the change in real time. When an inventory item is consumed, the stock level in the dashboard adjusts instantly. This means the operations dashboard always shows the current state of the operation, not the state it was in at the last scheduled report run. For organizations that have been operating on daily or weekly report cycles, this shift to real-time analytics typically surfaces operational issues earlier and enables faster response to developing situations.

Natural language analytics in Strev allows users to ask operational questions in plain English and receive instant answers from the live operational data in the platform. Instead of building a report with multiple filters, groupings, and sort orders to answer a specific question, users can type the question — "Which assets have the highest maintenance cost per hour of operation?" or "Show me all overdue maintenance tasks for the North region" or "Which vendors have the slowest warranty claim resolution time?" — and StrevAI returns the answer directly from live data. This capability is powered by the StrevAI intelligence layer, which understands the semantic meaning of questions asked in the context of asset management operations and translates them into data queries against the Strev database. It significantly reduces the barrier to accessing operational insights for team members who wouldn't otherwise build reports themselves.

Strev's predictive analytics capability is delivered through the StrevAI intelligence layer, which analyses patterns in historical operational data to identify likely future outcomes. For assets, StrevAI monitors maintenance frequency trends — when an asset requires servicing more often than its schedule suggests, it's flagged as a potential early failure risk. For inventory, StrevAI tracks consumption rates and projects when specific stock items will breach minimum thresholds based on current trajectory. For workflows, StrevAI scores active processes by their completion risk based on current step timing and historical completion patterns. For KPIs, StrevAI models where current trends are heading and projects values 30, 60, and 90 days forward. These predictive insights appear alongside standard historical reporting in the analytics platform — surfacing proactively rather than requiring users to build forecasting reports manually.

Yes. Any report built in Strev's report builder can be configured for scheduled automatic delivery — on a daily, weekly, monthly, or custom interval — to specified recipients via email. Scheduled reports always draw from live data at the time they're sent, so they reflect the current operational state rather than a static snapshot. Common examples include: weekly maintenance KPI summaries delivered to operations managers every Monday morning; monthly asset utilization reports delivered to finance at the start of each month; quarterly vendor performance reports delivered to procurement before supplier review meetings. Scheduled delivery recipients don't need to be Strev users — reports can be emailed to executives, clients, auditors, or external stakeholders who need operational data visibility without direct platform access.

Strev's reporting and analytics platform supports export to PDF, Microsoft Excel (XLSX), and CSV. PDF exports are formatted for presentation and compliance submission purposes — including appropriate headers, filtering context, and record completeness for regulatory and audit use. Excel exports maintain the data structure of the report builder configuration and are suitable for further analysis, integration with financial models, or import into ERP and accounting platforms. CSV exports provide raw data format for integration with BI tools, data warehouses, or custom analytical workflows. For organizations with existing business intelligence infrastructure — Tableau, Power BI, Looker, or similar platforms — Strev's open API provides a live data connection that feeds operational data directly into existing BI environments without the need for periodic export workflows.

Yes. MSPs using Strev to manage asset operations for multiple clients can generate client-specific reports and analytics on demand — each client's data is isolated by access controls and reporting is filtered to the relevant client environment. MSPs can build standard report templates that apply consistently across all clients, then generate client-specific instances for review meetings, compliance submissions, or monthly service reports. Scheduled reports can be configured per client to deliver operational performance data automatically. Natural language queries work within the client's data scope — asking "which assets have the highest maintenance cost?" returns results from that specific client's asset portfolio, not from the MSP's entire multi-client dataset. This makes Strev's reporting and analytics a client-facing service delivery tool as well as an internal operational management platform for MSPs.