The finance industry generates a huge amount of data. Did you know big data in finance refers to the petabytes of structured and unstructured information that helps antic...
Machine learning models make use of training datasets for predictions. And, thus labeled data is an important component for making the machines learning and interpret inf...
Small and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analys...
A cartoon making its way around social media asks the provocative question “Who wants clean data?” (Everyone raises their hands) and then asks, “Who wan...
The distribution of data means the way the data gets spread out. This article talks about some essential concepts of the normal distribution: How to measure normality Way...
Today Marketers play the role of advanced and technical matchmakers as their job is to match their target consumers with the products and solutions that best meet their n...
There is a tendency, even among people who should know better, to view the data that one has access to in an organization as being of perfect quality and utility. In real...
The availability of big data in the Digital Era enables new generation industries to create novel business models and automate their operations. It also assists them in d...
The Healthcare sector is among the largest and most critical service sectors, globally. Recent events like the Covid-19 pandemic have furthered the challenge to handle me...
Nowadays, data has become very important in all industries, and that is why thousands of companies hailing from multiple sectors are resorting to data analytics tools. Us...