Whatever your backend, operating system or hardware, Apptricity applications will adapt to your environment, so you don’t have to adapt to ours.

0% higher profits
for teams using analytics in decision-making

TRANSFORM ‘BIG DATA’ INTO ACTIONABLE INTELLIGENCE

Apptricity analytics transform “big data” into actionable intelligence. In the enterprise world, analytics can help management improve competitive positions, for instance revealing in fine-grained detail the patterns of goods shipping to stores or materials to job sites, and pinpointing attributes of high performing field service teams. In government, Apptricity analytics can help identify efficiencies to improve best practices — in turn helping public agencies accomplish their mission within budget.

Apptricity provides robust analytics to improve decision-making, plus options that include a standard set of application-specific reports.  Also included: Excel integration and drag-and-drop custom report creation.

A recent Aberdeen Group study, “Get Smart: Business Intelligence and Analytics for Service Organizations,” found that when best-in-class field service organizations adopt analytics technology, on average, they see these results:

  • 18% increase in service profits
  • 42% rise in customer retention
  • 44% improvement in SLA performance

The same reported noted that “Analysis of the data can produce increased first-time fix rates, reduced follow-up truck rolls, and enhanced preventive tasks to minimize repair calls.” Aberdeen further found that 89 percent of best-in-class organizations are 2.5 times more likely to integrate preventive tasks into a repair visit to alleviate future breakdowns.

Through data collection and strategic analysis, organizations can determine when it’s feasible to add more jobs per day, shorten routes by scheduling the technician’s daily tasks in relative proximity, and – based on performance data that logs a worker’s preferences, geography and skills – match the right technician to the right task for the right job. This can result in fuel savings by reducing travel and minimizing overtime with schedule optimization.

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