In today’s data-driven world, businesses are constantly seeking ways to extract greater value from their information. SAS, a powerful analytics platform, has long been a mainstay for many organizations. However, as technology evolves, SAS modernization becomes increasingly crucial to maintaining a competitive edge.

What is SAS modernization?

SAS modernization refers to the process of updating your existing SAS environment to leverage the latest features and capabilities. This can involve migrating to a cloud-based deployment, adopting new SAS Viya solutions, or integrating with other modern tools.

Why  modernize SAS?

There are several compelling reasons to embark on a SAS modernization journey:

• Enhanced Performance and Scalability:Modern SAS solutions offer significant performance improvements and greater scalability, allowing you to handle larger datasets and complex analyses with ease.
• Improved User Experience:Modern interfaces are more user-friendly and intuitive, making it easier for both technical and non-technical users to access and utilize data insights.
• Advanced Analytics Capabilities:SAS modernization unlocks the potential of cutting-edge analytics techniques like machine learning and artificial intelligence, enabling deeper insights and more predictive decision-making.
• Reduced Costs:Modernization can lead to cost savings by optimizing resource utilization and streamlining infrastructure management.
• Improved Security and Compliance:Modern SAS solutions prioritize data security and adhere to the latest compliance regulations.

Now that you understand the benefits, let’s dive into the 5 essential steps to a successful SAS modernization project:

Step 1: Assessment and Planning

• Evaluate Your Current Environment:Begin by taking stock of your existing SAS infrastructure. This includes identifying your current SAS version, the platforms and tools you use, and the types of data you analyze.
• Define Your Business Goals:Clearly outline what you aim to achieve through modernization. Do you want to improve efficiency? Gain deeper insights? Enable self-service analytics? Aligning your goals with the project ensures focused efforts.
• Develop a Modernization Roadmap:Create a detailed roadmap outlining the specific steps involved in the modernization process. This includes migration strategies, timeline considerations, and resource allocation.
• Build Your Team:Assemble a skilled team with expertise in SAS, modern analytics tools, and project management. Consider partnering with a trusted SAS modernization specialist to leverage their experience and best practices.

Step 2: Data Migration and Integration

• Data Assessment and Cleansing:Before migration, assess your data quality and identify any inconsistencies or errors. Cleanse your data to ensure its accuracy and validity for reliable analysis in the modernized environment.
• Develop a Migration Strategy:Determine the most appropriate data migration strategy based on your specific needs. This could involve a phased approach or a full-scale migration depending on the complexity of your data.
• Integration with Modern Tools:Identify opportunities to integrate your modernized SAS environment with other data sources and analytics tools within your organization. This creates a more unified data ecosystem for seamless analysis.

Step 3: Infrastructure and Deployment

• Cloud Migration (Optional):Consider migrating your SAS environment to the cloud to benefit from scalability, on-demand access, and reduced infrastructure management overhead.
• Deployment Options:Choose the most suitable deployment option based on your needs. On-premise, cloud, or hybrid deployments each have their advantages and disadvantages.
• Security and Compliance:Prioritize data security and compliance throughout the modernization process. Implement robust security protocols and ensure your modernized environment adheres to relevant regulations.

Step 4: Training and User Adoption

• User Training:Provide comprehensive training to your users on the new functionalities and features of the modernized SAS environment. This empowers them to take full advantage of the platform’s capabilities.
• Change Management Strategy:Develop a change management strategy to help users adapt to the new environment. This includes ongoing support, communication plans, and addressing any user concerns.

Step 5: Monitoring and Optimization

• Performance Monitoring:Continuously monitor the performance of your modernized SAS environment. Identify any bottlenecks or areas for improvement and address them proactively.
• Optimization and Refinement:Refine your modernized environment based on usage patterns and feedback from your users. This ensures the platform remains optimized and delivers ongoing value.

Conclusion

By following these 5 essential steps, you can set your SAS modernization project on the path to success. A modernized SAS environment empowers your organization to harness the full potential of your data, gain a competitive advantage, and make data-driven decisions that fuel growth.