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.
 
                    Author: Imran Saeed, Vice President and Global Head CPG, Course5 Intelligence (LinkedIn – linkedin.com/in/imran-saeed-608a3b1) ‘Phygital’ is a portmanteau of ‘physical’ and ‘digital’ and symbolizes the seamless relationship between the two channels. It takes the best elements from both and merges them to create an entirely new customer retail experience. Though this does bring in a […]
 
                    Featured Article: Author: Aditya Khandekar, President, Corridor Platforms India Left Shift – A software development concept The core concept of left shifting started from testing, where we shift the testing phase to earlier phases in the software life cycle. The goal is to test early, fix bugs close to source of issue and prevent backloading […]
 
                    Featured Article Author: Vinoth Nageshwaran, Business Insider Establishing effective text data frameworks with sentiment analysis is essential for organizations looking to derive meaningful insights from textual information. Sentiment analysis, a subset of natural language processing (NLP), involves identifying and categorizing opinions expressed in text to determine the sentiment behind them. This technique is invaluable for […]
 
                    Featured Article Author: Sudha Bhat In today’s competitive landscape, the demand for outstanding customer experience (CX) has surged, particularly with the advent of Generative AI (GenAI). This new era transcends traditional personalized interactions, paving the way for hyper-customized, real-time experiences that are fundamentally driven by AI technology. Recent studies suggest that 80% of businesses that […]