Slemma Releases New Connector to Internal Messaging Platform, Slack

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Slemma, a data visualization and reporting tool, has just released a new connector to Slack. Companies will be now be able to quickly visualize the large variety of information streams they have running through their Slack account.

Slemma has just released another invaluable connector, this time to Slack. Companies all over the world are using Slack to track essential aspects of their company. By tapping into this unutilized data, Slemma users can easily visualize the trends available in their channels.

Companies do not simply use Slack for internal communication. Slack has, to their credit, made it easy to integrate many different solutions into their app. This means that many organizations, including Slemma, have numerous types of information running through the platform just waiting to used.

Companies that take advantage of this feature will benefit from simultaneously viewing their Slack data with other Slemma connections. These solutions will include their own databases such as MySQL or services such as Google Analytics. Businesses will be able to increase employee awareness extremely quickly by combining these various data sources.

Furthermore, the cost of this increased awareness will be significantly less than other methods of data aggregation and visualization. Businesses can pull various metrics and channels into their Slack app and then visualize it with Slemma, thereby greatly reducing the number apps required to achieve the same level of data comprehension.

Users can try out this new feature for free for two weeks with a cancel-anytime trial.

About Slemma

Slemma,, is a browser-based, data visualization tool that focuses on small to medium-sized businesses. The tool offers the ability to directly connect to various data solutions and to create information dashboards without the need of coding or running queries. This, combined with its dedication to an intuitive interface, means that companies can have competitive data analytics without buying servers, hiring data scientists, or spend weeks learning the program before reaping the returns.

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Matt Mulholland
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