HOW IS DATA ANALYTICS TRANSFORMING THE RETAIL INDUSTRY? Ricardo Lourenço 05/29/2019 data analytics transformation data science machine learning customer retail industry profiling customer loyalty price optimization discount strategies campaigns customer lifetime value Everything in the retail sector revolves around the customer and this is why data analytics has an important role to play in harnessing all the customer data for optimum results. Check this latest post that talks about how is data analytics transforming the retail industry.
HOW IS DATA ANALYTICS OPTIMIZING RESULTS FOR REAL ESTATE? Ricardo Lourenço 05/23/2019 data analytics data science machine learning clients real estate optimization buyers tools data big data decision making An effective use of data analytical tools can help optimize results for the real estate industry in a number of ways.
The Differences Between Factor Analysis and Principal Component Analysis Tânia Santos 05/21/2019 data analysis statistics data science machine learning dimension reduction regression factor analysis multivariate analysis pca principal component analysis Many times, the terms principal components and factors are often confused and sometimes used as synonyms. In this post, we will explore some of the differences between them.
WHAT IS CUSTOMER ANALYTICS AND WHY DOES IT MATTER? Ricardo Lourenço 05/16/2019 customer analytics data analytics data science machine learning behavior business offers response rate targeting marketing strategies customer insights profitability segmentation next-best-offer customer attrition retention acquisition cross-sell upsell Customer Analytics is a critical part of an organization’s marketing strategy to design appropriate, accurate and successful offers for their products and services.
HOW IS PREDICTIVE ANALYTICS DIFFERENT FROM DESCRIPTIVE ANALYTICS? Tânia Santos 05/14/2019 predictive analytics predictive modeling data analytics predictive descriptive analytics data analysis business In our days, to be competitive, it is fundamental to know more about the future, and this is possible through predictive analytics techniques.
HOW PREDICTIVE ANALYTICS HELPS IN CUSTOMER CHURN PREDICTION? Ricardo Lourenço 05/09/2019 churn predictive analytics data analytics data science machine learning business customer churn Predictive analytical strategies can prove to be quite beneficial for businesses when it comes to customer churn prediction.
The height influence on NBA Players Tânia Santos 05/06/2019 statistical methods data analytics chi-square test simple correspondence analysis perceptual map sports analytics nba basketball The basketball is one of the most popular sport in the world. In this post we will explore the height influence on NBA players (rebounding skills and field position) . Using statistical methods like simple correspondence analysis, chi-square, correlation methods.
