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: Pavana B, CxSearch Global Partners In today’s fast paced business environment, hiring CXO’s and other senior leadership talent is one of the most critical and difficult decisions companies must make. Hiring a C-level executive has a significant impact on the company’s growth and vision, regardless of size. Due to the limited availability […]
Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction: A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]
Featured Article: Author: Anjum Javed, Reveal HealthTech INTRODUCTION Hyperautomation, as the name suggests is an approach to turbo charge and scale the automation in an enterprise by recognizing business processes and creating an orchestration layer atop the existing IT infrastructure to co-ordinate the workflows for increasing levels of automation. It is about envisioning an enterprise […]
Featured Article Author: Vidhya Veeraraghavan, Standard Chartered In the Claims-2030 series of articles, Mckinsey emphasizes that by 2030, every touchpoint in the claims journey, starting even before an incident occurs, will be supported by a mix of technology and human touch that seamlessly interacts to expedite the process and deliver a better experience across the […]