data sheet activtrak data connect · 2020-04-30 · 4 activtrak data connect — bi analytics &...
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ActivTrak Data ConnectBI Analytics & Reports With Power BI
DATA SHEET
ActivTrak Data Connect Overview
Data Connect provides customers direct access into user behavioral activity data to create personalized reports
with business intelligence data visualization tools (e.g.Tableau, Power BI, Google Data Studio, etc.) and data
reporting tools (e.g. Google Sheets, Microsoft Excel). You also have the ability to integrate and correlate your
activity data with multiple business data sources such as Salesforce, ZenDesk or other CRM tools, EPM, SIEM
and more. Data Connect is available to ActivTrak Advanced Plan customers and ships with a whole host of
dashboards and pre-built reporting & analysis templates making it easy to quickly generate detailed reports for
your platform of choice.
ActivTrak’s Data Connect Power BI Template includes a combination of pre-built valuable metrics, reports and
dashboards to help you analyze how your organization works and jump start the creation of your own customized
reports. All dashboards and underlying reports are organized around four major analysis areas and provide data
insights to critical questions about your workforce.
Activity & Application
Usage
Are you working on activities aligned with your role?
Are you allocating the right % of time in each activity?
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Data Analytics Areas Workforce Insights
Power BI Pre-Built Analysis
Productivity Are you spending appropriate time on productive activities?
Are you consistently engaged over time and/or distracted frequently?
Are you more productive working remotely vs. in the office?
Are you working too many hours per week and/or working nights and
weekends?
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Collaboration
& Knowledge Management
Compliance
& Risk Management
Do you have the right tools for your role?
Are you sharing company and/or customer information/documents?
Do you spend too much time searching for information?
Are you accessing sensitive data (PII, PCI, HIPAA)?
Do you post and/or access an internal knowledge base?
Are you using authorized company applications?
Do you spend too much time in meetings?
Do you use collaboration software regularly?
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Each activity captured by ActivTrak has a rich set of associated fields and metrics that help provide content
and additional information at the granular level or in aggregate.
Activity Type
Category
Productivity
All Time or Duration
Active Time
Passive Time
Productive Time
Focused Time
Captures major types of digital activity (application, site, search or passive).
An application or website can be assigned a category (e.g. development,
business application, etc.) Categories denote the activity performed using an
application or website.
An application or website can be classified as productive, unproductive or
undefined.
All time recorded.
Time when the computer is active (Total Time - Passive Time).
Time when the computer is idle (no keyboard or mouse activity).
Time spent on activities (applications and websites) marked as productive.
Time where minimal distractions or context switches are observed (Active
Time - Distracted Time). We identify a minute as “distracted” when the user
switches between three or more apps and five or more different screens.
These thresholds are configurable.
Field Description
Key Fields & Metrics
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Focus Score
Avg Hours/ User/ Day
ActivTrak
User Activity
Data
Activity & Application Usage
Productivity
Collaboration & KnowledgeManagement
Compliance & RiskManagement
Activity Analysis
Team Trends
Collaboration Trends
Alarm Activity
Status
Application & Website Usage
Leaderboard & Benchmarks
User Search Activity
User/Computer Reporting
Working Hours Analysis
Focus Patterns
Weekly Dashboard
Focused Time as a % of Active Time (Focused Time / Active Time).
Normalizes the time captured by dividing the active hours analyzed by
number of users and days. This allows you to compare and trend changes
without having to worry about skewed stats due to teams of different sizes,
users on vacation, etc.
ActivTrak has pre-built dashboards in the four analysis areas previously mentioned in the Data Connect Power BI
Template. Below are some screenshots with the dashboards created including a brief description of the analytics
collected for each.
Power BI Pre-Built Dashboards
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Activity & Application Usage
Analyze how an individual’s day compares vs their team and peers in terms of major activities. Drill down to
specific applications and sites used by clicking on a user or category in bar charts.
Understand each application/site usage patterns & trends by team and individuals. Click on an application or site on
the left to filter the information on the right-hand charts.
Activity Analysis
Application/Site Usage
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Productivity
Understand your productivity & focus trends at the organization level and by team.
Productivity Trends
Analyze the breakdown of active, productive and focused time by day & user. Drill down into the top categories
and apps/sites by clicking on a user from the top grid.
Working Hours Analysis
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Analyze productivity & focus metrics for different users and benchmark them vs their peers and the team average.
Productivity Leaderboard
Identify the patterns of productivity & focus by day of the week and time of the day. Identify valuable insights
related to work habits and work location as well as potential signs of burn-out.
Productivity Patterns
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Allow for managers and individuals to track key activity, productivity & focus stats. Compare activity breakdown
against your recent past and against a team average.
Weekly User Dashboard
Collaboration & Knowledge Management
Understand usage trends of messaging, email, and communication/meeting applications and sites.
Collaboration
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Analyze your organization's search activity, common terms and trends. Drill into a particular user or search site.
Knowledge Management
Compliance & Risk Management
Track the reporting status of the ActivTrak agent by user & computer. Identify potential technical issues that need
to be addressed to properly capture activity information.
User/Computers Reporting Status
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View alarms triggered by user and over time. Drill down into the details for each alarm triggered.
Alarm Activity