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.
THE ROLE OF DATA ANALYTICS IN PROMOTIONAL STRATEGIES FOR BUSINESSES Ricardo Lourenço 04/30/2019 data analytics data driven real results promotional marketing marketing campaigns customers value insights business Data driven results may help you to build the right promotional strategies and contests for your business. Check more about this in this short opinion article.
HOW DATA ANALYTICS IS TRANSFORMING BUSINESS? Ricardo Lourenço 04/22/2019 data analytics statistics business real results data-driven results retail healthcare finance hospitality transformation Data Analytics and Statistics are rapidly changing the way people used to run their business in the past. For data analytics not just helps drive performance for your business, but also gives you a competitive edge in your industry. Let's see more about it.
Exploratory Data Analysis - an important part of any analytical strategy! Ricardo Lourenço 04/17/2019 exploratory data analysis importance of data analysis statistical analysis analytics data science No first models should be done without a proper Exploratory Data Analysis. This will help us, for instance, to better understand the patterns within the data, detect outliers or anomalous events, find interesting relations among the variables. Let's check a little more about it.
WHAT QUESTIONS CAN DATA ANALYTICS ANSWER? Ricardo Lourenço 04/12/2019 dataanalytics statistics business analytics value For small business, data analytics and statistics might seem like an unnecessary path to tread. But, when you are looking for practical results for your business, data analytics can give your real results irrespective of the size of your business. Here are some of the big questions that data analytics can help you answer to make decisions about your business.
Analytics in Action: Analytics "du Vin" - a data-driven approach! Tânia Santos 04/09/2019 analytics statistics big data consumer wine quality price In this post we talk about wine + analytics. Using a data-driven approach we aim to answer some questions about wine using the power of analytics.
What data analytics can do for you? Ricardo Lourenço 04/02/2019 data analytics data science methodology value process statistics Data analytics is a critical process which helps us gather, clean, inspect and model data to attain useful information concerning the respective matter. The useful information helps us support our conclusion to make the smartest decisions. In this post we start talking about what data analytics can do for us and its importance.
How Cronbach's alpha works? Tânia Santos 03/25/2019 cronbach's alpha reliability internal consistency composite reliability guttman's lambda average inter-item correlation data analysis This post talks about Cronbach's alpha in Reliability Analysis. It measures the internal consistency of a construct, based on average inter-item correlation, and show how closely related a set of items are as a group.
One-way Anova: Positional effect on the height of soccer players of the top 16 teams in the UEFA Champions League 2018/2019 Ricardo Lourenço 03/20/2019 analysis of variance statistical methods groups anova post-hoc data analysis hypothesis sport analytics soccer champions league Analysis of variance (ANOVA) is a general method of drawing conclusions regarding differences in population means when three or more comparison groups are involved. In this blog post we explore that in order to know the effect of position (goalkeeper, defender, midfielder or forward) on the height of soccer players.
