Make sense of data with low-code environments
We're excited to bring Transform 2022 back in person on July 19 and virtually from July 20-28. Join leaders in AI and data for in-depth discussions and exciting networking opportunities. Sign up today!
With the continued growth of data, companies are increasingly centralizing their data-related activities. However, when it comes to tools, the landscape is still very fragmented. Most business analysts are limited to classic spreadsheets and BI tools for static data manipulation and exploration, while data scientists hand-code predictive models in a variety of different languages and learn more. rely on IT for deployment. Meanwhile, data engineers enable everyone to access appropriate data aggregates extracted from a multitude of data sources, on-premises and in the cloud.
An efficient low-code environment enables these people to work together more productively and, at the same time, provides a single platform suitable for these diverse audiences. Business users can focus on data aggregation and exploration, data scientists can apply sophisticated machine learning (ML) and artificial intelligence (AI) methods, and data engineers can ensure that data manipulations are performed in the right environment and adhere to corporate compliance. rules. The right low-code environment essentially serves as a no-code environment for some of these users and a visual programming environment for others who are building more complex solutions.
Furthermore, working with IT, the team puts the proper productization protocols in place, so that what they've created can be deployed continuously in production, as an interactive application, on the edge or simply automated for regular execution. The right environment also makes the compliance department happy.
Let's look at the different stakeholders and how they benefit from a low-code environment.
EventTransform 2022
Join us at the leading Applied AI event for enterprise business and technology decision makers on July 19 and virtually July 20-28.
register here No code for business expertsBusiness analysts need automatically generated data summaries and visualizations to quickly identify changing trends (or just to save time on regular audits and reports). Additionally, they benefit from being able to look at their data from different angles, which often leads to new insights into ongoing operations.
The appropriate low-code environment makes these tasks easier than writing Excel macros and less cumbersome than the data aggregation that can be done in a standard BI tool. Without ever touching the code, a business user can model a data flow directly and intuitively. This "no code" use case has the added side effect that this process is well documented and can be easily explained (or passed on) to others.
By using the right environment, the door is not closed to automated and well-documented data aggregations and visualizations. Now that our business experts have more free time, they can start exploring more data, as well as other techniques. Gradually, they will learn more about modern data science and continually increase their repertoire of methods that will help them make sense of their data. The right environment opens the door to becoming a data scientist, and since their fellow data scientists are already using the same environment, they can directly benefit from examples and blueprints they have created.
Low code for data engineersBeing able to quickly generate and transmit different views...
We're excited to bring Transform 2022 back in person on July 19 and virtually from July 20-28. Join leaders in AI and data for in-depth discussions and exciting networking opportunities. Sign up today!
With the continued growth of data, companies are increasingly centralizing their data-related activities. However, when it comes to tools, the landscape is still very fragmented. Most business analysts are limited to classic spreadsheets and BI tools for static data manipulation and exploration, while data scientists hand-code predictive models in a variety of different languages and learn more. rely on IT for deployment. Meanwhile, data engineers enable everyone to access appropriate data aggregates extracted from a multitude of data sources, on-premises and in the cloud.
An efficient low-code environment enables these people to work together more productively and, at the same time, provides a single platform suitable for these diverse audiences. Business users can focus on data aggregation and exploration, data scientists can apply sophisticated machine learning (ML) and artificial intelligence (AI) methods, and data engineers can ensure that data manipulations are performed in the right environment and adhere to corporate compliance. rules. The right low-code environment essentially serves as a no-code environment for some of these users and a visual programming environment for others who are building more complex solutions.
Furthermore, working with IT, the team puts the proper productization protocols in place, so that what they've created can be deployed continuously in production, as an interactive application, on the edge or simply automated for regular execution. The right environment also makes the compliance department happy.
Let's look at the different stakeholders and how they benefit from a low-code environment.
EventTransform 2022
Join us at the leading Applied AI event for enterprise business and technology decision makers on July 19 and virtually July 20-28.
register here No code for business expertsBusiness analysts need automatically generated data summaries and visualizations to quickly identify changing trends (or just to save time on regular audits and reports). Additionally, they benefit from being able to look at their data from different angles, which often leads to new insights into ongoing operations.
The appropriate low-code environment makes these tasks easier than writing Excel macros and less cumbersome than the data aggregation that can be done in a standard BI tool. Without ever touching the code, a business user can model a data flow directly and intuitively. This "no code" use case has the added side effect that this process is well documented and can be easily explained (or passed on) to others.
By using the right environment, the door is not closed to automated and well-documented data aggregations and visualizations. Now that our business experts have more free time, they can start exploring more data, as well as other techniques. Gradually, they will learn more about modern data science and continually increase their repertoire of methods that will help them make sense of their data. The right environment opens the door to becoming a data scientist, and since their fellow data scientists are already using the same environment, they can directly benefit from examples and blueprints they have created.
Low code for data engineersBeing able to quickly generate and transmit different views...
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