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Showing posts with the label Data Analytics

Data Center Tier 5 Explained

A business commonly depends upon the applications, administrations and information contained inside the data center, making it a point of focus and primary resource for ordinary activities. A data center is a facility built out of arranged computers and capacity that organizations or different associations use to organize, process, store and disseminate a lot of information. The concept uptime classification levels were originally given by Ken Brill, founder of the Uptime Institute. He created the Tier system (Tier I, II, III, or IV). The highest level of availability is Tier IV, which is typically defined as “Fault Tolerant and Concurrently Maintainable.” Read More:

Data analytics and AI machine learning: Know the Difference

AI has been dominating the market and news lately. AI has already been adopted by various companies and industries and has transformed the way the organizations’ function. The popularity has been increasing ever since. Product developers are now able to create products and services which until now were not within reach of the average marketing budget. But before plunging into the decision to implement AI, it is necessary to understand the differences between data analytics and AI machine learning. It is necessary to know which the best solution for your organization is. Data Analytics Data analytics includes processing of datasets on certain defined parameters to draw conclusions about required information. It empowers the decision makers by providing all the information they require at their finger-tips. This includes newsletter conversation rates, tracking of user behavior on apps and websites, click-through rates of online advertising, and much more. Read More:  https://...

What is Customer Analytics? Why is a Customer Analysis Important?

Companies grow, and so does their customer base.   Hundreds turn to thousands, thousands to millions and so on. Keeping track of all the customer’s activities becomes difficult and tricky. But knowing the patterns in the customers’ behaviors provides the decision makers with guidelines for planning their business strategy.  Surfing through such a massive database is humanly impossible.  This is where customer analytics comes into the picture. But what is customer analytics? Let’s find out. What is customer analytics ? As the name suggests, customer analytics deals with analyzing the customer database. It is a process by which the data gathered from customer behavior is used as guidelines to make key business decisions through market segmentation, predictive analysis, data visualization, information management, etc. The information thus gathered from the study is used to strategize direct marketing, site selection and in CRM (Customer Relationship Management). We ca...