Saxon AI

  Data-driven decision-making (DDDM)   in a business is easier said than done. Your DDDM process should have two important characteristics – quality and speed. However, for most executives, making quality decisions faster is still a challenge. In a survey,   McKinsey   found that only 37% of business executives make faster and quality decisions. CXOs face several challenges, such as data complexity, poor data literacy, etc., in extracting actionable insights from their data. To help you overcome these challenges, in this article, let’s explore how you can use data visualization together with generative AI.  Before that, let’s understand the challenges of driving a data-driven decision-making culture in your enterprise.  Roadblocks to data-driven decision-making (DDDM):   Data-driven decision-making is an approach to making strategic decisions based on data in line with your business goals and objectives. What’s driving businesses in this 21st century? ...