Augmented Analytics-Future of data analytics

AUGMENTED ANALYTICS-THE FUTURE OF DATA ANALYTICS

The future of data analytics- augmented analytics will help provide the answers, understanding, and actions you’ll need in a fast-changing world. Let's understand why augmented analytics is considered as the future changing concept.

What is Augmented Analytics?

Augmented analytics is basically a class of analytics powered by AI and ML that expands a human's ability to interact with data at a contextual level. Augmented analytics consists of tools and software that bring analytical capabilities whether it be recommendations, insights, or guidance on a query to more people.

The definition given by global research and advisory firm Gartner is -“Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms.”

Why do Organisations Need to adopt Augmented Analytics?

According to Forrester Research, less than 0.5% of all data is ever analyzed and used. While just 12% of enterprise data is used to make decisions. This will only make it worse with the growth in IoT connected devices which is expected to generate 79.4 Zeta Bytes (ZB) of data across 41.6 billion devices, according to IDC Forecast.

This sheer volume of data available to organisations is making effective interpretation a real challenge.

This is one of the most compelling reasons why organisations must adopt augmented analytics technology in order to make use of this data in order to gain insights and make effective decisions.

What does it do?

So basically augmented analytics relieves a company's dependence on data scientists by automating insight generation through the use of machine learning and artificial intelligence.

An augmented analytics engine can automatically go through an organisation's data, clean it, analyse it and draw insights from this data.

These insights help marketers or executives to make their business decision without having much deep and technical knowledge as data scientists.

Thus Augmented analytics can make analytics accessible to all.

Challenges of using Augmented analytics

1. Misconceptions of AI and ML 
2. Augmented analytics limitation
3. The quality of your training data
4. Data literacy and analytics proficiency
5. Accuracy and trustworthiness
6. Data governance, management and curation
7. Ethical use of AI
8. Team performance and scalability
9. And after all data scientists are still human, meaning that their attention span and ability to do repetitive work are limited.
10. No matter how good data scientists are, they are not actual business experts.

Best way to learn AI/ML/Data Science/Data Analytics

While it is important to upskill yourself with the skills required to understand and make use of augmented analytics, you must also think about the best way to do so.

The ideal, in this case, would be to opt for a learning program i.e a Bootcamp. As boot camps not only help to learn but also gives you an amazing hands-on experience with different tools.

LEJHRO has come up with some amazing Bootcamps for upskilling you with skills like Data Science, AI, ML, Full-Stack Development, Data analytics, HR and much more.

These programs are specifically designed for students and professionals who want to upskill themselves and boost their careers.

In these programs, you will be guided by the domain experts on everything you must know and the skills you would need.

You will not only get the technical knowledge but also an insight into the inner mechanizations of the industry. These programs have a unique pedagogy consisting of interactive lectures, real-world project work, placement guidance and more

 But, what's most alluring is the value of the certificate that you will attain once you complete these boot camps. With certification by a reputable company like LEJHRO on your resume, you already have the edge over others.

Let's have a look at these learning programs-

Master program -BOOTCAMP(80 hrs) by LEJHRO

      On-

• Data Analyst/Data Science/AI & Machine Learning
• Full-Stack Developer
• Full-Stack Digital Marketing

Certificate program-BOOTCAMP(40 hrs) by LEJHRO

      On-

• Data Analyst/Data Science/AI & Machine Learning
• Full-Stack Developer
• Full-Stack Digital Marketing
• Android Developer
• SQL Developer
• Business Development
• Human Resource
• UI/UX Designer

Eligibility-

Any Graduates, Under Graduates & Working professionals.

Perks-

SPECIAL OFFER PRICE FOR STUDENTS!

Post-Bootcamp,3 months of internship with Lejhro Innovation Team.

Link is given below, hurry up and get registered !

https://pages.razorpay.com/lejhrobootcamp

Enrolling in these professional master's and certificate programs is an excellent way to embark on a prospering career path. Besides getting mentoring from industry experts and a post-Bootcamp internship, the certificate in your resume, will make you get the job you desire with relative ease.

So KEEP LEARNING!