Data Management: Infrastructure & BI Tools
Having the right infrastructure is vital to a good data solution. But boy does that come with a lot of …
Analytics Techniques
Data Management: Improving Data Accuracy
With the influx of data available to a company, it is easy to assume that this translates into knowledgeable information …
Introduction to Data Warehouses for E-commerce
By 2025, over 175 ZB of data will be produced globally and nearly 30% of new insights will be generated in real-time. …
Calculating Dynamic Customer Lifetime Value (DCLV) using Data Science
One of the most important topics for marketing analytics is the prediction of customer lifetime value (CLV). Companies can use the CLV prediction to understand an individual client (dynamic …
How to Build a Fraud Detection System using Machine Learning Models
In my last blog post, I talked about how to use machine learning models for fraud detection from a business perspective. …
Natural Language Processing (NLP) in Fraud Analytics
Natural Language Processing with the help of Machine Learning is the current win-win combination used to detect fraud and misinterpreted …