The Lifecycle of Data Analytics.

Data Analytics is a complex process that is done in different stages. The stages of the analytic process are laid out as a framework and the framework is developed by considering several approaches such as DELTA framework, CRISP-DM, etc. The data analytics lifecycle process includes data discovery, data aggregation, data model planning, & execution, and visualizing results. The analytic process is done not only by a single expert but a group ...

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Types of Data Analytics

Data Analytics cannot be considered as one single solution to all the problems. There are different types in the analytics process, that are used to different problems in the business organization. One of the important job as a data analyst is to find the right analytic type to be used in the right problem. Some of the analytic approaches have been used for a long time and some just recently. In ...

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Data Analytics in 2020 and beyond.

In the past decade, organizations have learned the value of their data through analytics. It led to the rise in demand for data analysts, efficient analytic tools, etc. The role of analytics is expanding in the enterprise. It is not only used for decision making or prediction, but for also hiring people, serving customers, optimizing the business operation and supply chain, etc. Data analytics has already gained significant traction in ...

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How Fintech companies are using Data Analytics?

Fintech or Financial Technological companies have disrupted the traditional banking system in a good way. Even if you've not heard about the term Fintech, the chances are you might've used Fintech services. Fintech is the technology applied to the standard financial activities or services. With the introduction of mobile payment, chatbot for customer service, application for stock-trading & budgeting, Fintech services have changed the way of banking. While improving financial activity, ...

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The key difference between Data Analytics and Data Analysis.

Looks can be deceiving. The term "analytics" and "analysis" may look the same, but there is ever so slight difference between them. In today's data-driven world, a lack of understanding between two related terms can affect the ability to leverage the data to their absolute potential. While both of them are useful in gaining new insights, the key difference between them is their approach to finding insights, and the type of ...

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What Data is Google Analytics “Goals” Unable to Track?

If you've ever developed a website or an application, then you probably would have known about Google Analytics. It is a free analytics service by Google that gives you insights about how visitors use your website or app. By adding a small amount of code into your software, you can see how your website performs among the visitors. But there is more to Google Analytics than what's available on the ...

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Top 5 Data Analytics Project to advance your learning.

Learning by doing is the best way to learn. Whether you want to advance your career in Data Science or you are just entering into the world of data, having hands-on experience with a real-world project will go a long way in advancing your career. Here are the top data analytics projects that will help to master this growing technology. Image from Pexels Cancer detection. Data Analytics is playing a big role in ...

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intro-to-data-analytics

Introduction to Data Analytics

The amount of data that organizations and governments continue to gather is growing exponentially year over year. And a recent report by Microsoft explains, an average smart city will generate 250 petabytes of data in a single day by 2020. In this intro to data analytics, you'll get a taste of what it really is, and why it has become the buzz word of the decade (or the century). There is ...

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