Modules
BI Reporting – Data‑driven management for everyday work
In field-based operations, things move fast—and successful companies stay on top of what’s happening. Kiho generates a high volume of data across mobile work, working hours, tasks, driving behavior, maintenance, costs, and fleet utilisation. When you add Kiho’s BI Module (Business Intelligence), all that information becomes accessible, organised, and ready for analysis.
The BI Module exports Kiho’s collected data into an SQL database and includes ready-made Power BI reports. Whether you’re tracking fleet utilisation, how working hours are distributed, billable time, or project profitability, Kiho delivers pre-structured data that can be used directly in external BI tools like Power BI or Tableau.

Why implement a BI reporting module?
Companies often collect an overwhelming amount of valuable data, but without the right tools, that data goes unused. Kiho’s BI solution delivers pre-structured reporting frameworks in Power BI, along with a SQL database and server access.
With Kiho BI Reporting, you can analyse the data generated in Kiho based on your specific needs. You can also integrate additional data sources into the same environment—for example, importing financial management data—to gain an even broader view of your operations.


How the module works in practice
1.
All data instantly available for analytics
Kiho’s fleet and work‑management data is channelled into an SQL database for reporting.
Example: A company wants to dive deeper into the information gathered from the field. Kiho’s BI solution provides a ready‑made package—from databases to report models.
2.
A single dashboard for field operations
Automatic data transfer updates the chosen metrics into one BI view.
Example: Management collects all the business‑critical KPIs on the same BI dashboard and can react to anomalies—or drill down into specific findings for deeper analysis.
3.
Ensure equipment is allocated to the right units
BI reporting lets you examine fleet utilisation at unit or team level, see how usage is spread across weekdays, or check whether a certain equipment type meets operational needs.
Example: The fleet manager sees in BI reports that utilisation of tracked excavators is uneven across units and can re‑allocate machines as needed, avoiding unnecessary investments or rentals.
4.
Distribute workload more wisely between teams
Employees and teams complete work at different efficiencies. Correct workload allocation prevents idle resources on one side and expensive overtime on the other.
Example: Supervisors gain a realistic picture of time spent on tasks from the BI report and can redistribute jobs from teams that rack up lots of overtime compared to others.
