If you are over saturated with what’s been happening around the world (we get you!) what could be better than some good ol’ news to make our jobs easier. We’re so excited to share with you that we have officially launched Datagran 3.0 Beta– our most robust all in one data workspace that gives you the power to work faster, easier and without the need to code, around your data.


We truly appreciate your time to stop by, so let’s get started with a brief breakdown of the features you can start working with.


1. New and better UX across the whole platform.

To make it easier for you and your teams to navigate through our platform, we built a cleaner and easier user interface and experience. This includes a brand new structure that rests on our “collaboration across teams” premise. Your new workspace is divided into 2 main section:

Workspace

Projects



2. Workspaces - Projects - Teams

Because we want to break the barrier of teams working together around data, we launched Workspaces. Now companies can create workspaces and projects inside of them. This way, you can keep your workspaces and projects organized. Plus, team members can now be added into your workspaces and projects for data analysis.

For example, projects can be:

A quarterly sales project

A client project

An operational data project



3. More Data Sources

You asked, we listened! As requested, you can now integrate additional sources like:


Hubspot

SFTP

Google Sheets

Redshift

Quickbooks Intuit

Cosmos DB

Marketo

Snowflake

Twilio

To see all the available integrations click here


4. More Chart visualization options and SQL editor

Because coming up with a diagnosis from your data differs in the type of information collected, we raised the bar on the charts section by adding a more flexible visualization system which allows you to create different styles of charts. Additionally, you can add filters or custom queries.


5. Pipelines

The biggest challenge data scientists face is connecting the output of ML algorithms with business applications. This is causing 85% of big data projects to fail according to Gartner.


Pipelines or ML pipelines are extremely powerful tools that provide precise control over our data. They are interconnected sources, operators and actions that help us process data to achieve a specific goal. Even better, when we can build one without the need to write a single line of code, our life instantaneously becomes way easier.

In Datagran, Pipelines are divided into 3 sections:


Data Sources

Operators

Actions


To make one, we simply have to choose a data source, drag and drop Operators and Actions, run the Pipeline and that’s it. ML Pipelines done in seconds, without the need to code.



6. Boards

What is data without collaboration? Like bulletin boards, our team built a Board within every project. Here, team members can pin data processed across the Datagran platform for everyone to see, discuss and take action. 

7. Templates

For people who like to have predetermined actions like performing an RFM Analysis, or recommending a specific product to a cluster of users, then Templates is a great tool. Moved to their own section, Templates make it easy run specific actions that otherwise would need days to develop. 

8. Datagran Web & Mobile SDK


We made the Datagran Web and Mobile SDK even more powerful. Our SDKs collect data from a number of standard events to send them directly to the Datagran servers. This allows companies to put a magnifying glass in their user’s behavior.  


Want to try it out? Request access here.