Short monologue explaining that data (facts, figures, source data) are the raw material businesses collect and analyze, and that data analytics is the practice of examining those records (e.g., sales transactions, social media posts) to generate insights. The speaker argues these insights enable faster, better business decisions, improved customer experiences (personalized messages/ads), and proactive risk management.
If you want to get started with AI, first you need to understand data and data analytics. Think of data like blocks of information, raw materials you and your team at work use to construct programs and experiences. It's facts, figures, and other info that your business collects, stores, and analyzes thoughtfully. Source data lets you offer game changing experiences to your customers, things like tailor made messages and personalized ads that always hit the mark. Now data analytics is the science of examining raw data like sales transactions or social media posts, and making sense of it all. You can use those data insights to make faster, better decisions, improve how you serve your customers, and get ahead of potential problems and business risks.
