Deep dive into costs, process and performance metrics & team engagement
Zeitworks machine learning technology analyzes your team's continuous activity streams, making sense of the data by uniquely identifying the distinct components and activities that make up your repetitive business processes. Previously elusive metrics identifying where time is spent, true costs and performance are revealed with Zeitworks technology platform.
See and compare how your team members spend their time and resources in many different areas such as applications, processes, and activities. These metrics will help identify bottlenecks, opportunities for additional training, sharing of best practices, and opportunities for process reengineering or optimizations.
We know your business processes can have many properties and attributes that affect execution efficiency, and ultimately cost. These include case type, complexity, state (open/closed/reopened), and sub-tasks or activities. Zeitworks provides time and cost metrics on all of these dimensions, enabling you to locate specific areas in your operations that need improvement.
Productivity insights tell you how and where your team members are spending their time, whether on or off process, active vs. inactive time, by process property (e.g. complexity), etc. Informative distributions of case processing times enable you to drill in on outliers that are causing problems and costing you money.
We all know time is money. Finally get a handle on where and how your team is spending their time and ultimately your resources. Time analysis reveals factors such as process bottlenecks, undertrained team members, and difficult cases that increase the cost of running your business. Time analysis also illuminates the ROI of potential process changes and other optimizations.
Learn where your team spends their time across their main tools: desktop applications and browsers. See application usage broken out across team members, processes, and activities. Use this information to easily identify bottlenecks, outliers and other anomalous behaviors that warrant further analysis or optimizations.