Tech Chronicles

In this episode, we will be talking about the challenges faced by the Banking and Finance Industry in incorporating data analytics. 

This is part of our ongoing series where we explain the challenges involved in implementing data analytics.

Make sure to check out our previous episode.

Big Data and Data Analytics plays a pivotal role in transforming the Healthcare Industry and in improving the quality of patient care. 

But every technology has its own challenges, Data Analytics is no different. This month we will talk about the challenges involved in implementing Data Analytics in different industries. Let’s begin with healthcare.

This will be a series, so make sure you tune in for every episode, so you won't miss out on any important information.

Welcome to part two of answering the most asked questions on BI. Recently, we asked our followers to send us the questions they have about Data Analytics, Data Science, and Business Intelligence in general. 

And we have a lot of questions to answer. If you are new here, make sure to check out part one of this series, so you won't miss out on any detail.

Now, let's see what questions we have today.

Recently, we asked our followers to send us the questions they have about Data Analytics, Data Science, and Business Intelligence in general. 

As a result, we have the questions, and in this episode, we will try to cover as many questions.

In this episode, we will be talking about how banks and financial services are benefiting from data analytics.

This is part of our ongoing series where we explain how different industries utilize data analytics?

So, if you are new here, make sure to check out the last episode for part one of this series.

Data Analytics plays a pivotal role in the healthcare industry.

Because when you think about it, from health records, diagnostics, and clinical decisions, to drug procurement and accounting, hospitals deal with a lot of data.

Data Analytics not only supports actual treatment and data management but also helps optimize healthcare operations all over the industry.

The data analytics industry has evolved significantly over the past decades.

In this episode, we will talk about the modern data analytics that we see becoming popular.

Before we begin, let us first understand the components of modern data analytics architectures and their functions.

Any businesses that are wanting to build a great brand and grow their business first need to focus on finding what their customers want, what are their preferences, and list their feedback about their business. 

But determining what those needs are is easier said than done. This is where NLP comes into play. 

Data Science plays a huge role in the manufacturing industry.

It uses data science for predictive maintenance, safety analytics, warranty analytics, sales forecasting, etc.

Now, let's see more about its benefits and how it is used.

Data discovery tools and services across all cloud environments are still evolving. So, if you are looking for such tools, there are certain aspects you need to consider.

Listen to it!