Data wrangling is the practice of converting & then plotting data from one “raw” form into another. The aim is to make it ready for downstream analytics. Here are the steps in data wrangling 1. Data Discovery 2. Data Structuring 3. Data Cleaning 4. Data Enriching 5. Data Validating 6.Data Publishing| Express Analytics
Data cleaning is process of deleting incorrect, wrongly formatted, and incomplete data within a dataset, which later leads to false conclusions, making even the most sophisticated algorithm fail.| Express Analytics
Cloud analytics is a broad category that refers to all of the analytical techniques used to analyze data performed on a cloud. Benefits of Cloud Analytics 1. Cost 2. Quick Deployment 3. Simplicity 4. Efficiency.| Express Analytics
Our Customer data platform Oyster can Enhance your Customer Experience, Retain Buyers, Improve Bottom Line with highly data-driven recommendations & competitive intelligence| Express Analytics
Where is data analytics headed in 2022? see What are the predictions and trends in data analytics for the new year? 1. Cloud Analytics Will Get Even More Traction 2. Unstructured Data Shall Share The Podium With Structured Data 3.Data Fabric Will Ease Data Management 4. Data Mesh Provides New Architecture Alternative 5. Automated Machine Learning Will Take Over Tedious Tasks| Express Analytics
Technology Advancements for Clienteling in Retail POS| Express Analytics
