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Machine Learning Solutions for Cold Start Problem in Recommender Systems

Benefits of Automatic Data Extraction in Finance

Benefits Of Automatic Data Extraction In Finance In part 1 of the blog, we read about what is data ingestion and why it is necessary for financial institutions to automate this, Inn this blog we will look at Benefits Of Automatic Data Extraction In Finance. Be it the approval of loans or predicting future trends,… Continue reading Benefits of Automatic Data Extraction in Finance

Next Generation of Business Intelligence is Here

Next generation of business intelligence is here With the rapid improvement of the latest technology, traditional approaches to running organizations have become obsolete. Nowadays, business professionals want to use equipment and tools that can help them make informed decisions. Business Intelligence (BI) has taken rapid strides from the time it came into being in the… Continue reading Next Generation of Business Intelligence is Here

Using Machine Learning to Grow Customer Lifetime Value (1 of 2)

Using Machine Learning To Grow Customer Lifetime Value (1 of 2) In today’s customer-centric market, it’s very important to get to know a customer’s lifetime value (CLV). Customer Lifetime Value helps businesses concentrate their activities around their most “profitable” clients. The better a business understands CLV, the better its’ strategy at retaining its best customers.… Continue reading Using Machine Learning to Grow Customer Lifetime Value (1 of 2)

Analytics Dashboards: Some Say The End Is Near, We Say Not So Fast

Analytics Dashboards: Some Say The End Is Near, We Say Not So Fast When a year comes to an end, there’s always a tendency to look back at the days gone by to analyze what certain developments mean for a certain industry or sector. So, as the curtains are set to come down in 2020,… Continue reading Analytics Dashboards: Some Say The End Is Near, We Say Not So Fast

What is Machine Learning and Machine Learning Techniques: A Complete Guide

Analyzing data in order to find patterns and apply these findings to business goals is the most general definition of data analytics. In the past few years, the flow of data into enterprises has grown exponentially, making it difficult to analyze data using traditional statistical methods. Data analytics can now overcome this hurdle by incorporating machine learning, an aspect of artificial intelligence. By building efficient algorithms, machine learning automates the process of data analysis, revealing hidden patterns and insights.

Use of STP Marketing (Segmentation, Targeting, Positioning) for B2C and B2B

Use of STP Marketing (Segmentation, Targeting, Positioning) for B2C and B2B Continuing with our endeavor to explain the concept of customer personalization based on customer segmentation in marketing, in this post, we will look at the Segmentation, Targeting, Positioning or STP marketing framework and the role it plays in marketing to not only B2C but also B2B… Continue reading Use of STP Marketing (Segmentation, Targeting, Positioning) for B2C and B2B

The Growing Importance of Data Cleansing

Data cleaning is process of deleting incorrect, wrongly formatted, and incomplete data within a dataset. Such data leads to false conclusions, making even the most sophisticated algorithm fail.

Conducting Social Media Sentiment Analysis: A Working Example

Till a few years ago, it wasn't common practice to analyze customer sentiments. Today, sentiment analysis is a viable tool for businesses thanks to technological advances and also to shifts in business mindsets. The interesting thing about it and what makes it different from the other forms of data analytics is that it deals with emotions, and we all know that emotions are never black or white. An enterprise or brand can find out how the world or the consumer feels by doing sentiment analysis. This could be a positive or a negative reaction. So how does social media sentiment analysis work? Read on.