Benefits of Company Analytics

Company analytics provides you with insights to understand inner workings of your business. This enables you to take data-driven decisions for improvement.


As a business, it is essential to measure your company's performance. Company analytics can be used in order to make sound decisions about the internal workings of your business. There are a number of different internal tools and business intelligence platforms that can help you do this, but they are time consuming and expensive.

Fortunately, there are out-of-box options available that can provide you with the data you need to understand and measure your company's internal working and how effective your processes are. All your productivity and collaboration tools integrate seamlessly with company analytics plafroms like Flowtrace, in order to make data-driven decisions without the need of internal data analytics team. 

What IS Company Analytics?

Company analytics refers to the quantitative and qualitative analysis of data that is collected to understand the inner workings of your company including functional boundaries, information flow, daily processes and team performance. This data can be used to track progress, identify areas of improvement, and make data-driven decisions.

Company analytics

This could specifically focus on teamwork, communication, collaboration, engagement, and other cycle time-type of metrics that allow you to understand exactly how teams function on a high level. 

Analyzing the data for various platforms, insights allows you to focus on bottlenecks and identify process areas that need improvement across the company. This could be focusing on throughput, punctuality, information silos, meeting culture, and communication channel effectiveness as an example.

When using analytics for decision-making, the data that is collected must be processed and analyzed correctly to make informed decisions. This should also respect employees' right to privacy in the process. The use of data analytics platforms can help with this, as they provide the tools and features, but they are not always easy to analyze or make sense of, which is where Flowtrace steps in.

It is important that you look for patterns and trends in the data in order to identify the core of any underlying issues without making assumptions or incorrect decisions. An effective decision intelligence strategy would be useful to follow here.

Benefits of Company Analytics

company analytics

There are a number of benefits to measuring company business analytics that allow you to make data-driven decisions and improve on certain areas, including:

  • Allowing you to make data-driven decisions regarding your organized structure, processes, and workflow.
  • Helping you to identify areas of improvement such as information silos, meeting culture, communication barriers, handovers, and punctuality.
  • Helping you to track progress through deep work time trends, use of SaaS tools, and employee engagement levels.
  • Allowing you to communicate your company's performance to stakeholders
  • Helping you to make decisions about the direction of your business by incorporating your employee's views in real-time via weekly surveys.

Company analytics can help you to make data-driven decisions that are based on facts and evidence. This is opposed to making decisions based on assumptions or gut feelings, which can often lead to biased and sometimes, completely incorrect decisions.

Identifying areas of improvement is another key benefit of company analytics. This data can help you to pinpoint areas that need attention so that you can focus your time and efforts on addressing the issues present in these functional areas.

Setting up goals which are measurable, and following your company's progress is essential to ensure that you are on track to achieve your goals. It is essential you have the tools to follow the progress of the goals you set to achieve.

With company analytics, it usually takes mere days to weeks to see the results of any process, team, or policy decision, and to verify the results and trends are according to the expected outcomes.

Understanding YOUR TEAM PERFORMANCE

Since the team is the core unit of any company, it's important to have a clear understanding of how your team is performing. More importantly, a data-driven team is necessary when working to improve employee productivity through efficiency and effectiveness. 

There are a number of ways to understand team data including visualizing how the team uses their collaboration tools, understanding how interactions between teams take place and analyzing the context where information sharing takes place.

There are a number of metrics that you can track for teams, but the most important ones are:

  • Productivity 
  • Inter-team relationships
  • Management and leadership performance (via surveys)
  • Engagement 
  • Communication

Productivity is a measure of how much work is being done by your team. This can be tracked by looking at the number of tasks completed, the number of hours worked, or the amount of work produced.

Quality of work is a measure of the quality of the work that your team is producing. This can be tracked by looking at customer satisfaction ratings, error rates, or rework rates.

Engagement can be measured based on facts and data (Which Flowtrace does) or based on assumptions with no evidence to back them up. An ideal method of measuring engagement also comes through surveys that gather feedback on topics and work.

Common Focus Across a Company

We have broken down the type of company analytics to two parts, one covering the common analytics across every team, and the other part to the analytics across the functional process tools.

Slack Analytics

slack analytics

Slack is a powerful communication tool, but it can be difficult to get actionable insights from the data that it generates. Flowtrace can help you to understand your Slack data and creates advanced Slack insights that you can use to improve your team's productivity, engagement, and retention.

There are a few common areas that companies focus on when using Slack analytics:

Channel Relationships - This looks into your public channels, and who participates in those conversations. This can generate a metadata analysis, to get an accurate image of how your channels relate to each other. The data allows you to measure information flow and bottlenecks between teams and topics.

Company Topic Analytics - To understand the topics your company talks about and reveal insights on the hot topics, topics that are a struggle, and those that the team is not happy to work with. 

Team Relationships - Helps to understand your team's collaboration patterns within a team, and across the teams. How the collaboration takes place, and how the interactions relate to each other.

Company and Channel Sentiment - Captures the sentiment of the messages exchanged on public channels and authorized private channels. Allows you to understand the trends of the conversation.

Communication channels: Which channels are being used most often, and for what purpose. Allows you to streamline communication for effective channels only.

Team productivity: Are teams using Slack to work together more effectively? Identify participation and inter-team relationships. 

Flowtrace can help you integrate this data and provide actionable solutions for your company using these analytics for decision-making and problem-solving.

Google Workspace Analytics

Google Workspace (formerly G Suite) is a powerful set of tools, but it can be difficult to get actionable insights from the data that it generates. Flowtrace can help you to understand your Google Workspace data and get insights that can be used to improve your knowledge sharing and collaboration across teams.

There are a few common areas that companies focus on when using Google Workspace analytics:

  1. Knowledge sharing metrics like how many documents are shared, requested reviews, and items collaborated on.
  2. Contributions to different documents from various team members.
  3. Interactions in the docs like comments reviewed, documents reviewed, activity, and other interactive metrics your team may use.
  4. Most viewed documents to identify documents that get lost or left behind and understand engagement with high-level important documents.
  5. Shared documents, internally, and externally, and an aggregate where these shares takes place.

Find out more about how Flowtrace can help you integrate and analyze this data easier. 

Google Calendar Analytics

hourglass_meetings_shrunk

Google Calendar is a powerful tool, but it can be difficult to get actionable insights from the vast amounts of data that it contains. Flowtrace can help you to understand your Google Calendar data that can then be used to optimize your team's meeting habits, punctuality and quality of decision making.

There are a few common areas that companies focus on when using Google Calendar analytics:

  • Meeting invite and acceptance rates. This helps to identify the importance of' internal meetings as considered by the invitees.
  • Agenda-less meetings. Identifying poorly planned meetings and how they impact efficiency and effectiveness.
  • % Share of 1:1, external, cross-team, and team meetings. This helps you identify team silos and keeps managers accountable for improving communication efficiency.
  • Punctuality. Identifies issues with meeting etiquette, invites, timings, and deeper issues.
  • Meeting Length. Understand the efficiency of your meeting based on the agenda and scheduled time for the planned meeting.
  • Participation survey scores for meeting quality. Allows employees to ask, and provide feedback on the quality of the meeting.
  • Ad hoc meetings vs. scheduled meetings. Can reveal issues with synchronous/asynchronous workflows. This is a potential “distraction” if ad hoc meetings are used more than scheduled.
  • Meeting frequency: How often are team members meeting? Also which weekdays, and time of the days when most meetings take place.

Get started with Flowtrace today to see how we can help you get insights from your Google Calendar data. 

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Functional Tools Used 

In addition to the above, there are also functional tools that fall under company analytics.  These help to optimize different areas within a company and can be used to track progress or measure impact. To access these tools individually would be time-consuming and discouraging to align the data for each; that’s why high-level metrics and KPIs are aggregated to company analytics in tools like Flowtrace.

  1. Jira: Jira is a project management tool that helps teams track and resolve issues. It can be used to measure focus time, review process bottlenecks, and time on deliverables.
  2. GitHub: GitHub is a code repository that can be used to pull request cycle times and commit and pull request complexity.
  3. HubSpot: HubSpot is a customer relationship management (CRM) tool that can be used to measure deal flow times, deal interactions and sales team collaboration.
  4. Front: Front is a customer interaction tool that can be used to measure first time to respond, and the cycle times to complete.

engineering cycle times jira and gitlab

How to Utilize Company Analytics for Performance

The company data that is available to you can be utilized in two different aspects:

Common analytics for all your teams

Common analytics for all teams focuses on the aspects of meeting culture, collaboration effectiveness, and inter-team relationships. They can help to identify bottlenecks, resolve issues before they arise, and streamline team performance as a whole. This can include:

  • Meeting culture:

Here you can gain insights into your meeting culture. This will allow you to tackle meeting fatigue, identify ineffective meetings, and identify any collaborative decision-making issues. This can be further narrowed down into understanding meetings without agendas and feedback.

  • Inter-team relationships and collaboration patterns:

You can identify where relationships within your team experience issues or fail to exist at all. This will allow you to identify any gaps in company processes, breakdown of information silos, poor work handovers, and ineffective communication channels.

  • Employees voice:

Here you can give your team a voice and opinion from the ground up. It will allow you to tackle the areas of the business that require urgent help first and acts as an early warning signal before things begin to get out of control.

  • Slack optimization:

You can discover communication channels that are ineffective and those that are effective, which channels receive the most engagement, focus topics of the company, and streamline processes.company_sentiment_marketing_channel_example

  • Collaboration on documents:

Understand how your team is collaborating through docs, with the use of comments, link sharing, and documents with no activity. 

There are many different ways to use team analytics for your company. By using analytics to make data-driven decisions, you can streamline processes and empower teams to perform at a higher level.

Team-specific tools and metrics

Every team has different functions, requirements, deliverables, and circumstances, it is important to measure and identify analytics on a team-based level too. This could be looking at:

  • Cycle times across the core Engineering processes:

For example, engineering the pull request review cycle is collaborative, and by measuring it you can identify the bottlenecks of the process or teams. 
  • The work completion cycle times across the product management:

These cycle times will give you an understanding of any collaboration issues that occur between engineering and product teams.
  • Project management tools:

Identify how your teams are progressing with projects, and what stages they keep hanging on to. Too many parallel projects are certain to slow down the productivity of project-driven teams. 
  • Customer-facing teams and customer experience:

What is the service level you seek for your clients and are there teams not meeting them? This helps you understand the bottlenecks and time it takes to process these requests/responses internally.
  • Sales team deal Progression:

How does the best sales team compare to the lowest-performing team when it comes to deal progression and teamwork across the deals? Same cycle time metrics which apply to nearly all functional tools applyes to sales deal flow stages progresssing through appointment scheduled, qualified to buy, contract sent, and deal won.

Using company analytics to drive team improvement is easy when you have all the core analytics available. It's beneficial to consider team performance as a construct of common things like communication, meeting habits, transparency, and information sharing, which is captured by analytics from common tools of Google Workspace/Slack.

When you complement this information with high-level usage across the functional tools like GitHub/Jira/Hubspot, you have a good view and basis to drive team improvements.

jira_cycle_times

Conclusion

There are many angles to the company analytics that can be used to measure team performance. By understanding the different types of data that are available, you can more effectively apply them to your team and use them to improve punctuality, productivity, and collaboration.

Flowtrace offers a suite of tools that can help you to collect, analyze, and visualize your data. Get started today to see how we can help you get insights from your data.

 

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