Solve the Customer Churn Puzzle Faster: An Australian Perspective with SAS Viya Workbench
Are you an Australian data scientist or analyst grappling with customer churn? Understanding why customers leave — and predicting who might be next — is essential for sustained growth and long-term business success.
SAS Viya Workbench offers a powerful and flexible environment for tackling this challenge, combining the best of SAS with open-source tools like Python. This unified, cloud-based platform empowers your Australian analytics teams to move faster, work smarter, and deliver actionable churn insights with confidence.
Tackling Churn with the Power of Integrated SAS and Python
Customer churn analysis often demands a multi-layered approach — from data preparation and exploration to advanced machine learning modelling and deployment. SAS Viya Workbench enables your teams to operate in a single, seamless environment where both SAS and Python can be used side by side without compromise.
Imagine using SAS for robust data ingestion and preparation, handling missing values, transforming variables, and connecting to diverse sources, then shifting directly into Python to train and compare churn prediction models. With no need to switch platforms or rewrite code, your analytics workflow becomes dramatically more efficient.
The sasviya.ml Python package enhances this even further, allowing your team to access high-performance SAS procedures directly within Python code. For Australian organisations seeking to combine the best of both worlds, this integration is a significant advantage, particularly when speed and precision are crucial.
Accelerating Your Model Development for Australian Teams
The combination of integrated tooling and on-demand scalability enables Australian teams to progress from exploration to production-ready churn models faster than ever.
You can start by profiling your churned customers in a SAS Notebook, visually exploring patterns and anomalies. From there, build models using both SAS procedures and open-source Python libraries — all within the same secure environment. With flexible compute power at your fingertips, even complex models can be trained at speed and scale, then optimised to manage costs.
This flexibility translates to more efficient model iterations, faster time to insight, and quicker action. That’s a competitive edge no Australian business should overlook.
From Insights to Action: Operationalising Churn Models with SAS Viya
Once you’ve developed churn prediction models in SAS Viya Workbench, integration with the broader SAS Viya ecosystem ensures smooth operationalisation. For Australian organisations already using SAS, this is a game-changer.
You can easily register and manage models in SAS Model Manager, compare performance, and deploy them into production with minimal friction. That means your churn analysis efforts directly support business actions — from personalised retention offers to proactive customer service strategies.
No more churn insights sitting idle — now they power action.
[thrive_2step id=’3479′]Just 6 Days Left to Take Advantage of Our Viya Workbench Offer[/thrive_2step]
[thrive_2step id=’3479′]If your team is ready to take churn prediction to the next level, now’s the time. For only 6 more days, you can take advantage of our Buy 3 for 2 offer on SAS Viya Workbench licenses — available for Australian and New Zealand organisations. [/thrive_2step]
Find out more about the offer and how Viya Workbench can transform your churn strategy:
https://selerity.com.au/sas-viya-workbench/
Conclusion: Conquer Customer Churn with Agility and Power
By tackling the customer churn puzzle within a powerful, flexible and scalable environment, SAS Viya Workbench offers Australian data teams the tools they need to deliver fast, accurate insights that drive real business outcomes.
Whether you’re exploring data, training predictive models, or deploying them into production, this platform removes the barriers between insight and action. Stop losing valuable customers — use SAS Viya Workbench to turn churn risks into retention opportunities.