Predictive analytics make use of data along with techniques like statistics, analysis, and machine learning to create a perfect prediction related to the future.| Express Analytics
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
Predictive Analytics in insurance industry is becoming the “weapon of choice” of insurance firms. It is because of advances in AI & ML deployment.| Express Analytics
What is Identity Resolution? Identity resolution uses certain unique ‘identifiers’ to “connect” all the actions of a buyer to create a single, unified, and real-time customer identity.| Express Analytics
Ecommerce analytics tools help you utilize the data to make data-driven decisions to drive your online sales. It calls for the gathering of data from all channels that influence your online store and then using the same to understand the trends and the shift in consumer behavior.| Express Analytics
A customer behavior analysis uses actionable intelligence to improve retention. With the power of data analytics though, businesses are now able to predict consumer behavior by analyzing past purchases, search history, or even social media profiles.| 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
How to Build a Customer Profile Database? Build a customer interactions database. This is the first of the six important steps in operationalizing analytics for any company| Express Analytics
Technology Advancements for Clienteling in Retail POS| Express Analytics
What is Predictive Modeling? Predictive Modeling refers to the use of algorithms to analyze data collected on previous events in order to predict the outcome of future events.| Express Analytics
Number of customers who leave your business in a given period is called churn. Churn can be analyzed at the customer, account, product, or service level. Customer churn rate, is the frequency at which individual customers leave a business in a specific time period. It can also be looked at by product/service, or at the account level.| Express Analytics