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What are the New Trends in Big Data Analytics?

The Big Data wave is not slowing down, it appears only to be accelerating. While Big Data emerged on the fringe in research, defense, and tech sectors, it's now firmly established in the mainstream,...

Role of Data Scientist

A data scientist is a very special individual in the data model. You might think with all the data automation that users can practically manage their own data, quite the contrary. With Big Data...

How to Handle Regression Error in Data Analytics?

Whether you’re a sales manager hoping to predict your sales for the coming quarter, a project manager studying the relationship between academic and job performance or a company CEO looking to predict growth for...

How Data Analytics Prevents Delayed Deliveries?

We know that having access to real-time data on inventory, supplier stocks, seasonal demands, etc. is a critical issue so that there would be no delays in deliveries. Real-time reporting is a regular feature...

What is the Role of Big Data in Data Analytics?

With our computational powers growing rather exponentially, the type and quantity of data has also grown exponentially. Every day it's estimated that more than 2.5 quintillion bytes, that's 2.5 exa-bytes or 2.5 x 10...

How to Use Data Analytics to Enhance App Development?

Whether you're looking for email sign-ups, advertising revenue, to enhance a product or service, or as a funnel for sales of products, a mobile app helps. But app development is a cut-throat industry. If...

How to Handle Over fitting Data During Data Analytics?

In machine learning situations there are two basic types of data – the relevant data that forms a particular pattern and the irrelevant or erroneous data that has tagged along. Let’s refer to the...

7 Steps to Correct if Build a Data Model on the Wrong Population

Irrespective of how advanced your machine learning model is, the outputs from the algorithm will be bad if the input-population is bad. Despite various precautions, data models will be populated with wrong data due...

10 Ways How Data Analytics is Boon For Real Estate Industry

Without data analytics in today's data-driven world, any business is pretty much operating blind. Real Estate is no different. With large amounts tied up in capital, data analytics is fast becoming the backbone of...

What is the Process of Data Mining?

Data Mining is the way of finding hidden patterns and valuable information through data analysis. Data mining contains set of phases like Data Modelling, Data Integration process, Data processing, Data Evaluation, and Deployment etc....

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Author

Prashant is a professional analyst who works with corporate worlds to improve quality of analysis. He believes in dignity and integrity for works related environment. He knows about quality of data and database. He has awarded for 'Inspiring Team', Platinum awarded for 'most promising person of the team', and 'Best employee of the team'. He truly believes in 'Hard work'.