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Tag: Top big Data Analytics courses in India

Data Analytics, Productivity, and Well-being: Are they interrelated?

Posted on by Imarticus Learning

Forms and benefits of data analytics have shifted majorly in the last few years. Major firms have also been using it as a way to decipher the habit patterns of their employees to take care of their well-being. Needless to say, their wellbeing directly relates to their workplace productivity. However, with the evolution of data analytics, data analysts also have to be able to evolve constantly.

And that is only possible when they have the proper training to adapt to situations, and that can only happen if they learn data analytics from a proper institution. Imarticus Learning has come forth with a great opportunity for people who would like to polish their skills with their new PG program with data analytics and machine learning certification.

Coming back to the impact of the well-being of employees on company productivity, studies have found that being comfortable in their workplace can make the workers about 12% more productive.

Data analysis as a tool to ensure happiness

Major firms have been trying to gather and decipher the patterns of their employees’ behavior to provide a personalized experience to them for some time now. There are a lot of ways companies have decided to approach it. Some offered wearables to their employees that will teach how much time they spend, sitting, talking, writing, or moving about. Some have chosen the company intranet to trace their online tracks.

Now it falls to the data analytics team to extract, and decipher these patterns. It is fruitful in the sense that these patterns always give indications of not only their physical health but also their mental ones. This is also a way where companies can provide personalized suggestions for their well-being. And the employees get benefitted from it in a way that impacts their daily life. As a result, they feel more loyalty towards the company.

Hurdles to jump over

There are some evident advantages of exchanging data for the betterment of the employees’ wellbeing, and in turn, increase their productivity. However, it is also a possibility that when it comes to data gathering and analysis, the employees might have some privacy concerns about them.

Which in turn, might make them unwilling to participate actively in the bandwagon. This is why, there are a few things that should be kept in mind when it comes to the interrelation of wellbeing and productivity of the workers, such as:

  • The first and most important thing is to make sure the workers consent to the exchange of data for the company’s use, as many might have privacy concerns relating to that.
  • Companies will need to have experts in the analytics team to properly extract and use the data and make it a priority for both the main wing of the business and the analytics team to prioritize the employees well being.They need to communicate properly to the workers how it benefits them and the company both at once.
  • The key is to recognize what the employees want and be able to cater to it. Otherwise, even after using data analytics to define the workers’ needs, it will be utterly irrelevant.

Conclusion

Using data analytics as a mode of communication between the employer and employee needs time and expert skills. And it can only come if you learn data analytics from a good place. Many institutes in India offer a data analytics certificate course. Imarticus Learning is one of the topmost among them, so do check out their PG program of data analytics and machine learning.

Augmented Analytics: The Future of Data & Analytics!

Posted on by Imarticus Learning

Augmented analysis simplifies data analysis and helps in getting insights. It is used by firms/companies to forecast better and to automate data analysis processes. Augmented analyses use enabling technologies like AI and machine learning to help speed up and automate data analysis processes.

You can manage your business data up to an extent when the data generated is large one needs augmented analysis to manage big data sets and extract insights. Less time will be spent on understanding the data with the help of augmented analysis. Let us see how augmented analysis is the future of data & analytics.

Benefits of Augmented Analysis

The pros of augmented analysis are as follows:

  • You can automate data analysis processes like data cleaning, forecasting, data management, etc. with the help of augmented analysis.
  • Expert developers can build better business models with the help of insights via augmented analysis. The accuracy of predicting trends and business opportunities increases.
  • Data preparation under which the data is classified and arranged in a structured manner is a very tedious chore. This process can be automated via augmented analysis.
  • The augmented analysis will help you in cost optimization as it will help you in using less human labor and more automation. Your developers can provide you with more insights with the help of augmented analysis.
  • Risk identification and management can be done properly with the help of augmented analysis.
  • Data insights can be represented in natural language statements to people who are not into data analysis. In organizations, augmented analysis helps in conveying business insights and forecasting results to all employees.
  • Data security and privacy can be managed better via augmented analysis. Any anomaly in the data set can be identified immediately and can be managed. It also helps in adhering to data regulations laid by the regulatory authorities.

 Why Big Data Management is Necessary?

The augmented analysis helps in big data management as such a large amount of data cannot be managed manually. Big data management is done by firms to know about market trends, opportunities, market volatility, etc. It also helps in knowing about the buying habits of customers/clients. You can target an audience of any particular age group, locality, gender, by using data insights. You will stay ahead of your competitors and grab potential opportunities.

big data analytics courses One can learn big data management via Big Data Analytics Course from a trusted source like Imarticus Learning.

Data Analytics Future

The latest technologies like machine learning, deep learning, AI, etc. are shaping the way the data analytics industry worked.

Companies and firms are producing more data every day and a lot of businesses are shifting online, to manage this data augmented analysis is being adopted by firms. Developers can boast a more successful Big Data Analytics Career via augmented analysis as it will increase their analytics ability.

Conclusion

Data analytics is one of the fastest-growing sectors recently. Companies and firms are investing in data analytics to gain profits in the long run. One can learn from Big Data Analytics Courses available on the internet to build a successful Big Data Analytics Career. Grab your online course now!

Top Big Data Analytics Challenges in Health Insurance!

Posted on by Imarticus Learning

Have you ever wondered that by the end of 2025 there will be more than 200 Zettabytes of data available in global cloud storage?

This ever-increasing data is either available in an unstructured or semi-structured form. The health insurance sector is one of the major contributors to this global data.

The rapid digital transformation of the insurance sector is powered by artificial intelligence, machine learning and predictive analysis. Big data in the field of health insurance has started playing a crucial role.

In order to transform the unstructured data into a structured one, organizations need detailed algorithms. Trained professionals from the field of data analytics can build and apply these algorithms in a strategic way to make the best use of the data.

Big Data Analytics Courses in India

There are no two ways that data analytics is transforming the insurance sector at a much faster pace, yet the unique nature of the health insurance market poses many challenges to meeting the requirements. If you are looking to make your career as a data analyst in the health insurance sector, you should first understand some major data-related challenges existing in the health insurance sector.

In order to facilitate flawless services, two major challenges faced by the health insurance sector are Regulatory compliance and data integrity.

Regulatory Compliance

Most of the challenges in any process which is governed by rules and regulations majorly set by the state are the matter of regulatory compliance. Even the slight shift in the set of the state and the federal regulators may result in a major shift in terms of execution and thus always having a close eye on the latest developments has become the need of the hour.

One such regulatory Act in the health insurance sector is the Health Insurance Probability and Accountability Act (HIPAA). Despite the understanding of HIPPA’s privacy policies, very few insurers are aware of its data security and protection.

For example, e-PHI contains the electronic records of personal health information as guided by HIPAA’s security rule book. These guidelines ensure the insurer will maintain the confidentiality of the data they receive through e-PHI.

In order to safeguard crucial and confidential data, insurers need to identify and protect the data from potential threats and need to ensure that the entire workforce during execution follows all the compliance.

Data Integrity

Data integrity is not a very new challenge, many solutions to it exist, but the lower standards in terms of quality can cause major issues.

The main challenges related to data integrity lie in the health reports of patients. To deal with these challenges, special data understanding is required. In addition to this, the nature and scope of the patient-provider relationship lie in precisely capturing the events such as illness, diagnosis, prescription, claims, etc.

The problem lies in identifying the policyholders who are not in active engagement with the insurers. Another related problem lies in identifying the policyholders who stop filing prescription-related claims.

What would a Data Analyst do to overcome these challenges?

Big Data Analytics Course in IndiaIf you are looking for some data analytics courses in India, to build your career as a data analyst in the health insurance sector, you can contribute at every stage, right from data mining to data architecting to statistics.

Data analysts design the required infrastructure that suits the organizational requirement of data integrity and compliance dynamics. Data analysts play a crucial role in designing independent systems which help them analyze the data, engineer the data and eventually get the best out of the data.

To get a clear sense of what data analysts do, we should see data analysts as data architects, data scientists, data engineers, and statisticians at different phases of the project.

If all this information regarding big data in health insurance has piqued your interest, you must research more about the data analytics courses in India which would provide you with the next steps to get that much closer to becoming a full-fledged data analyst yourself.

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