4 Types of Data Analytics and When to Use Them

There are four types of data analytics: descriptive, diagnostic, predictive and prescriptive. Each type serves a different purpose, and it’s important to know which type you need in order to get the most accurate insights from your data. Descriptive analytics is used to describe what has happened in the past, diagnostic analytics is used to … Read more

The Rise and Importance of Prescriptive Analytics in Modern Business

Prescriptive analytics is a relatively new field of analytics that is designed to help organizations improve their performance by providing decision support and recommendations for action. In other words, prescriptive analytics goes beyond just descriptive and predictive analytics by actually telling you what to do in order to improve your business. Why is prescriptive analytics … Read more

How unifying all your data can benefit your analytics

By having all your important information in one place, you’ll make it easier to keep track of everything and be able to access it faster and easier. You will also be able to make better decisions since you will have a more complete picture of your overall situation. And finally, by centralizing all your data, … Read more

How CRM Helps Customer Loyalty.

CRM software is used to manage customer data and interactions with the goal of improving customer retention rates and generating more sales. By tracking customer interactions and preferences, businesses can create targeted marketing campaigns that are more likely to generate sales. Additionally, CRM software can help businesses identify unhappy customers and take action to remedy … Read more

How business intelligence helps decision making

Business intelligence or business intelligence is a broad concept that refers to the technologies and practices used to manage, analyze and report business data such as financial metrics (sales, costs, profits) and key performance indicators (KPIs). ). Using BI enables organizations to make informed decisions by analyzing the past and projecting trends into the future. … Read more