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: 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: 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: Anirban Nandi, Vice President, AI Products & Business Analytics, Rakuten India We all have heard the old saying that “Data is the new oil”. But wait!! Is that completely true? Just like oil, unrefined data is of little to no use. So, allow me to correct the maxim a little – “Quality […]
Featured Article: Author: Soutrik Chowdhury & Sreedhar Sambamoorti, AB InBev Demand forecasting is the estimation of a probable future demand for a product or services based on historical trends, seasonal patterns and taking both internal and external factors into consideration Demand forecasting is crucial for activities such as supply planning, product manufacturing planning, and financial […]