Zeitworks' platform safely observes and collects the actions of your team and business processes to give you the data and insights you need to transform your business
A fitness tracker for your team: Runs in the background on workers' desktops, continuously collecting the activity streams generated as they work without interrupting their productivity
Uses machine learning and more to transform the data, segmenting them into distinct tasks, giving you unprecedented visibility into how your team gets work done
A self-service customer portal where you can access near real-time data, analytics and actionable insights about your team and business
The Sensor consists of several components that capture low-level user events and gestures including a Windows executable (APIs), browser, and application plugins
Installation is simple, available as a downloadable MSI (Microsoft Installer), and works with popular Enterprise Software Deployment Tools (e.g., Microsoft Intune, Microsoft System Center Configuration Manager, etc.)
During operation, the Sensor logs data to the local disk, periodically uploading the latest data securely to Zeitworks’ or your cloud
The Sensor can update itself automatically, taking advantage of the newest capabilities, without need for IT intervention
Observe only what you want - The Sensor can be easily configured to include or exclude specific applications that can be specified as on or off-process
We built the Zeitworks Sensor to capture the details of just about any workflow - whether it includes systems of record like Salesforce, Workday, Service Now or Zendesk, or ubiquitous spreadsheets like Microsoft Excel or Google Sheets, or other general productivity tools including many web browsers, PDF readers, and virtual environments like Citrix desktop.
What applications are central to your business processes and workflow? Have questions about whether we can support your particular configuration and flow? Reach out to us or a free consultation!Reach out to us
The intelligent discovery and identification of these distinct activities from raw data requires a series of analytics and machine learning processing stages that form a pipeline.
We believe data security and privacy are critical which is why sensitive information is immediately redacted and discarded before any further processing occurs
(optional on-prem or customer cloud redaction capabilities available)
Next, high-dimensional raw data is transformed into discrete events that represent a higher level of resolution and semantic meaning
Distinct (and potentially interleaved) process instances (represented by a unique ID) are mined to capture specific work-item journey maps
Machine learning models then segment and classify the event stream events into distinct processes and activities
In the final steps, processes and activities are aggregated across time, and a number of metrics about Processes, People and Productivity
are calculated and can be accessed in Zeitworks' Analytics Portal.