1. Introduction to Salesforce Definition : Salesforce is the #1 Cloud-based CRM (Customer Relationship Management) platform that helps businesses manage relationships with customers, automate business processes, and analyze performance. Founded : 1999 by Marc Benioff. Type : SaaS (Software as a Service). Tagline : "No Software" – because everything runs on the cloud, without local installations. 2. Why Salesforce? Traditional CRMs were expensive and required servers, installations, and IT staff. Salesforce revolutionized CRM by moving everything to the cloud . Benefits: 🚀 Faster implementation ☁️ Cloud-based (accessible anywhere) 🔄 Customizable without coding (point-and-click tools) 🤝 Strong ecosystem & AppExchange (marketplace like Google Play for Salesforce apps) 🔐 Security & scalability 3. Salesforce Products & Cloud Offerings Salesforce is not just CRM; it has multiple clouds (modules) for different busine...
Data science is a way to try and discover hidden patterns in raw data. To achieve this goal, it makes use of several algorithms, machine learning(ML) principles, and scientific methods. The insights it retrieves from data lie in forms structured and unstructured. So in a way, this is like data mining. Data science encompasses all- data analysis, statistics, and machine learning. With more practices being labelled into data science. Text Analysis Statistical Analysis Diagnostic Analysis Predictive Analysis Prescriptive Analysis TEXT ANALYSIS:- Text Analysis is also referred to as Data Mining. It is a method to discover a pattern in large data sets using databases or data mining tools. It used to transform raw data into business information. Business Intelligence tools are present in the market which is used to take strategic business decisions. Overall it offers a way to extract and examine data and deriving patterns and finally interpretation of the data. Statistical Analysis It is use...