SAS helps deliver on the promise of enterprise analytics by providing a flexible and adaptable technology landscape that embraces many open technologies to ensure interoperability. It can be used to centralize analytics across various groups and helps organizations consolidate analytics assets with a unifying, governed platform.
Featured Article: Author: Saswata Kar, Senior Director and Global Head of Data, Analytics & Data Sciences, Philips GBS This article is about how AI and analytics is really transforming supply chain processes in B2B space. I will be explaining here one use case of Order management analytics, where and how exactly it gets used and […]
Featured Article: Author: Vinodh Ramachandran, Neiman Marcus Group In my previous article, I had spoken about some challenges due to a siloed working model within data & analytics teams in large retailers and how setting up a Data & Analytics CoE within the GCC can be a good solution. Lets look at a few ways […]
Talent Science is the business capability of using advanced data analysis techniques and predictive models to drive HCM decision making. It calls for a logical connection between decisions about people, HR program investments and strategic business outcomes. This can form a backbone of human resource function of all organizations independent of the sector in which it operates. […]
Featured Article: Author: Ganes Kesari, Innovation Titan A Telecom major was grappling with high customer attrition. The firm was one of the largest Telecom companies in the world and a market leader in Asia. The marketing team’s heuristics-driven approach to customer retention was dated and ineffective. Reviewing the business performance in a weekly huddle, the […]