Python in Sigma: Data Science for Your Business

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Data serves as the cornerstone of success for businesses—yet many organizations struggle to maximize the value of their data. Why? Because data science operates in code, while business teams operate in spreadsheets. This creates siloed insights. And the end result is that data science insights fail to reach the people who need them most.

The reason is simple: these teams have no clear path to work together. They can’t work on the same project. They can’t do it together. They can’t do it live.

In Sigma, Python Workbooks bridge the gap between your business and data science, giving your entire organization access to data they can interpret for their analyses. They can work together. At the same time. On live data.

Data scientists can now share insights and communicate in a common language. This means your entire business can interact, explore, and understand the nuances of their work—and do it all within a dynamic application. 

This gives decision-makers access to the right data to see how the future unfolds in real-time and make adjustments, effectively navigating change and planning for what’s to come. This amplifies data scientists' work in a way that aligns with business goals.

A single solution to unify all of your analysis

With the addition of Python, users can work in Python, spreadsheets, or SQL–or code with AI—and use what works when needed. The addition of Python highlights several needs.

Amplify your collective intelligence

Business teams and data teams have a shared environment where every piece of organizational knowledge is readily available, removing siloes, amplifying analysis, and transforming how your organization collaborates and excels.

Your language, your way

Whether Python, SQL, or Sigma elements, individuals can work in their preferred language and combine languages into a single analysis in our interactive workbooks. One individual may be a SQL expert, another a Python wiz, and others excel in Sigma–now all of these skill sets can collectively come together to deliver a more powerful output. This effortless integration allows every team member to contribute live to build a complete, insightful narrative together in real-time.

Spend less time typing code with Sigma AI

With Sigma AI, organizations can accelerate code generation, optimize queries, and reveal insights in a fraction of the time–all within a single platform. 

But Sigma AI goes beyond typical AI analysis–it translates complex analysis into plain English, providing clarity for business users who may not be familiar with Python or SQL. With Sigma Copilot, any user with any technical skill set can easily understand the underlying data, providing a common denominator to communicate with one another.

Security at scale

Sigma utilizes secure, in-house data processing within your cloud warehouse, maintaining strict data integrity and confidentiality with every computation and analysis. By inheriting the permissions set up in your warehouse, administrators can rest assured that their data is protected. 

Ways to use Python Workbooks

Now with Python analysis built in Sigma, organizations can turn predictions into impactful actions that influence their financial outlook and ensure decision makers and operators are able to get access in real time.

Merchandising teams in retail and consumer goods verticals can optimize the creation, merchandising, and planning processes to ensure they deliver the right product to the right consumer at the right time. 

Sales teams can proactively assess customer health, identifying those with a higher churn risk and acting on the model's recommendations to boost retention and save revenue. 

FP&A teams have real-time visibility into revenue projections, enabling them to forecast more accurately and better plan for the future.

Conclusion

With Python in Sigma, business and data teams can collaborate, analyze, and build together in a single platform with the flexibility to choose the language that caters to their unique skill set. By increasing speed-to-insight and reducing silos, organizations can maximize their investment in data science to deliver valuable insights to the right people at the right time to drive the business forward. 

Learn more about Python in Sigma, and get early access here. 

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