5 Predictive Analytics Use Cases for Retail Industry
Top 5 Predictive Analytics Use Cases for Retail Industry Retail analytics is about using data to identify the factors that are impacting business outcomes. It also helps retailers evaluate strategies and understand why certain strategies are working or not. It can also hel
Prediction using Neural Networks
Prediction Using Neural Networks In the first part of this post, we discussed what neural networks prediction are, what the “artificial” component in them is, and how they are used in data science. Today we look at how they are used in predictive analytics. We will also a
Why Are Artificial Neural Networks Important
Why are Artificial Neural Networks important in data science? Artificial Neural networks are an extremely complicated piece of research/technology being developed for decades. They use man-made computing power to try and replicate the way the human brain calculates, and
What is Cohort Analysis? And How it Helps to Retain Customers
What is Cohort Analysis? How does Cohort Analysis Help to Retain Customers? Before getting into cohort analysis and its benefits, one must take note of the fact that businesses devote a huge chunk of their resources to find new customers but, sometimes, they lose sight
Here’s Why Machine Learning Data Catalogs are Becoming Popular
Why Machine Learning Data Catalogs (MLDCs) are becoming popular In part one of this blog post we had discussed what data catalogs are, and why there is an increase in their use by enterprises over the last two years. In this second and final part of that post, we look at
What is Identity Resolution and How it Works
What is Identity Resolution and How it Works More and more businesses online are veering around to the fact that if they have to remain competitive, the one thing that will keep them ahead of the pack is a complete understanding of their customers. A customer’s ide
The Upsurge in Use of Data Catalog
The Upsurge in Use of Data Catalog Which other challenge do data-driven enterprises face in addition to the hurdle of poor or dirty data? The answer is – finding where their data, both structured and unstructured, is stored. Corporations that rely on copious amounts of da
5 Data Analytics Trends to Watch Out for in 2020
5 Data Analytics Trends to watch out for in 2020. The end of the year throws up the inevitable question – which trends in data analytics shall emerge or be prevalent the next year? There’s little doubt that data and its analysis made even more gains in 2019 compared to th
What is NLP Sentiment Analysis? And Increasing use of NLP in Sentiment Analytics
This post’s focus is NLP and its increasing use in what’s come to be known as NLP sentiment analytics. By now, it is obvious that humans and machines do not speak the same language. It is also pretty clear that the two also do not share “emotions”, thoughts or feelings. B