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Leverage your Collaboration Data: Get Powerful Insights from Tableau using Time is Ltd.

Team Collaboration
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August 9, 2022
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4
min read
See how we use Tableau to empower our data scientists to test, derive insights for our clients, and innovate our product based on custom requests.

We are Time is Ltd., the world’s first Employee Experience and Engagement platform. Despite having our own analytics platform with hundreds of metrics and several ways to visualize them, we always seem to need more. When we partner with a company and start preparing a custom analysis, we tend to hear how customers want to unlock even more analyses. For instance, sometimes a customer may want to combine our metrics with an additional data source (e.g. an attendance register, Salesforce, etc.). 

In this case we are able to process the customer’s data via our data processing pipeline for calculating metrics; and this is ‘where the magic happens’ and we can learn valuable information through our algorithms and data enrichments. The output of this process is a number of datasets offering various levels of detail and metrics - but the most commonly used dataset is either filtered and enriched meeting and email data or individual monthly/weekly/daily metrics.

This is where Tableau comes into play to assist with other visualization and exploration tools. We often use Tableau because it enables our data teams and (CS) customer success managers to test scenarios quickly, play with the result, and identify significant trends in data - and if not - completely change the view of the data in seconds.

Metrics overview in tableau with Time is Ltd.
Metrics Overview

How we use Tableau to Extrapolate & Innovate 

Let’s take a look at how we use Tableau in empowering our data scientists to test, derive insights for our clients, and innovate our product based on custom requests. 

At the start of the pandemic, we had clients approaching us about the hybrid working model. As mentioned, we used one of our platform datasets - enriched events (from our Time is Ltd. database) and combined it with their attendance registry (in CSV) based on email and date. Then, we got to work exploring this data in Tableau and asked specific questions to determine trends within these data sets: 

  • Are there any differences? 
  • Where are the differences occurring? 
  • What is the difference in communication methods between remote workers and on site workers?
  • Are there any differences in communication based on department?Does overtime differ between remote and on site workers?

Next, we test several different views, from simply changing the group parameters, to visualizing the data across different chart types such as bar charts and heat maps. Some of our findings were not that significant, however, we identified changes across certain departments and locations when those teams were remote. For example, we noted remote workers tend to communicate a bit more than those who work in the office. However, there were some units (a very small number of them) in which their communication dropped significantly when they were supposed to ‘work from home’. 

Number of events per channel
Number of events per channel in months

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Multitasking behavior overview
Multitasking behavior overview

We then built custom dashboards from those visualizations so we could track the changes monthly. We also included an additional dataset - a survey regarding employee happiness at work. By incorporating this data, we offered another dimension to this story, and tested it in previous dashboards. The resulting analytics provided a great deal of value by showing managers the importance of employee wellbeing

Management email per capita
Management email per capita

Time is Ltd. takes data seriously and knows it's not just about creating one report to be shown as a print screen in Microsoft PowerPoint, but to create a custom, tailored, living analysis for customers with specific data sources that are combined with our datasets and benchmarks.

Metric goals
Metric goals

The Takeaway 

Product innovation doesn’t happen in a vacuum. Ideas come from everywhere. Driving the future of teamwork through collaboration analytics requires flexibility and agility - not just in how we build products, but how we think about them. It’s about exploring the possibilities of several data sets to form a complete picture - and working with clients to address their problems through innovative approaches. 

Tools such as Tableau, or Microsoft Power BI  provide the flexibility for us to work with processed data from third party applications and various data sets, while empowering our data scientists to test, derive insights for our clients, and innovate our product based on custom requests.

Looking for a custom analysis? Get in touch with Time is Ltd. today to get started. 

Article by
Martin Bosak
Martin is Data Architect at Time is Ltd. Previously he has been working with many Financial and Telco companies across Europe as a consultant or data specialist.
Article by
Martin Bosak
Martin is Data Architect at Time is Ltd. Previously he has been working with many Financial and Telco companies across Europe as a consultant or data specialist.

See other articles

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