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 app
Express Analytics | 30 Jul 2021
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 de
Hemant Warudkar | 14 Jun 2021
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 “profita
Hemant Warudkar | 10 Jun 2021
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
Hemant Warudkar | 09 Jun 2021
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.
Hemant Warudkar | 09 Jun 2021
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
Prasanna Chitanand | 09 Jun 2021
The Growing Importance of Data Cleaning
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.
Hemant Warudkar | 09 Jun 2021
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.
Hemant Warudkar | 24 May 2021
AI Model Developed to Detect Sarcasm in Social Media Text As Part of Sentiment Analysis
Sarcasm Sentiment Analysis: AI Model to Detect Sarcasm in Social Media What is Sarcasm Sentiment Analysis (sarcastic sentiment detection)? Sentiment analysis of social media means just that – to use data to understand what people feel or think about your product, servic
Prasanna Chitanand | 11 May 2021
