The digital landscape is saturated with tools for information sharing, including Slack, Teams, and Chatter. So, why would an organization need an additional system like Groopit? There’s a simple, yet powerful answer: the data model.
Groopit establishes a Data Model for Employee-Generated Intel that empowers companies to outsmart competitors, accelerate revenue growth, and improve net promoter scores. It’s the data model that allows companies to go beyond mere information sharing and deliver results.
However, one may ask, why isn’t a conversation in Slack, Teams, or Chatter sufficient? Here are the top five reasons:
- Conversations don’t build a corporate knowledge base
Intel shared through Slack, Teams, or Chatter doesn’t automatically contribute to a knowledge base. Groopit, in contrast, automatically builds a robust and accessible corporate knowledge base that grows into a well-organized and valuable corporate asset over time.
- Conversations don’t yield quantitative data
Intel shared solely via Slack, Teams, or Chatter isn’t data, it’s text. These conversations are messy and make efficient analysis nearly impossible. Groopit’s data model for employee-generated intel turns these employee insights into quantitative, structured data that can be used by leaders to make decisions, at scale.
- Conversations are not delivered to decision-makers
Intel exists in every nook and cranny of these platforms, so surfacing the intel and making them available for decision-makers to access in real-time is nearly impossible. Groopit’s data model is configured to deliver precisely the right data to the right decision-makers. For example, pricing intel (no matter where it exists) is delivered directly to the pricing and licensing teams.
- Conversations rarely take one minute
Conversations can be time-consuming and require thoughtful composition. Groopit integrates the data model into Slack, Teams, Salesforce, or wherever employees work so employees can share intel with a few quick taps and in less than a minute.
- Conversations require information to be manually pieced together
Identifying trends and patterns from conversations is a manual, slow, laborious process that requires people to piece together information. Groopit’s data model allows for automated aggregation, instant analysis and actionable insights, along with the ability to understand changes over time using historical data.
While platforms like Slack, Teams, and Chatter serve as valuable tools for team communication, the Groopit Data Model for Employee-Generated Intel is a superior choice for businesses striving to outsmart competitors, accelerate revenue growth, improve customer experience, and solve complex business problems that impact the bottom line.
