![]() ![]() At the same time there is an interest in moving at least some data and processes from on-premises systems to public cloud-based hosted platforms and incorporating “free” open-source technology. I frequently hear people say that they love the power and flexibility of the SAS language but due to rising costs and internal demands to reduce IT spend, they are looking for ways to control costs associated with running their SAS language programs. I can’t say I’ve seen it all, but I’ve seen quite a lot of it! ![]() I have witnessed the introduction and rise of analytics programming languages, graphical tools, workflows, enterprise data integration, business intelligence suites, web-based data science tools, end-to-end solutions in fraud management, financial risk monitoring, customer marketing, high-performance visualisation and in-memory analytics. My time has been spent variously installing, developing, supporting and presenting on most aspects of SAS language tools ranging from installing SAS System software version 5.18 on mainframes back in 1995, to using the latest versions of WPS Analytics software on desktops and servers, AWS and Azure. Why listen to me? Since leaving university as an applied statistician in the early 1990s, most of my professional career has involved using SAS language tools in some shape or form – whether working for tier-one insurers, SAS Institute, World Programming or one of the big four management consultancies. If this resonates, the WPS Analytics platform is the answer. ![]() You know the ones I mean? “multiple extracts from operational systems that get merged, filtered and summarised, passed to the finance team who tweak in large Excel files which end up in complex actuarial calculations for the latest price review session”. ![]() The practical difficulties of maintaining 20+ years of SAS language applications and workflows created by business users can be daunting. Maintainability and reliability of free softwareīalancing risk, cost and benefit is complex.Robustness of open-source package management and support.Cost and complexity of code and data migration.When weighing up the best potential courses of action, there are many factors to keep in mind: Visual/graphical data science and analytics tools.You may consider changing or incorporating: Moving to entirely different technologies brings the greatest risks, but there can be great benefits too. Down-time comes at huge risk and expense: even staying purely with SAS language and moving from one SAS language compiler vendor to another is not completely risk-free. Many businesses depend on analytical tools and processes for mission-critical, line-of-business processing. The decision to make a change is not simple. ![]()
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