HOW USEFUL IS DATA ANALYTICS IN THE HEALTHCARE SECTOR? Ricardo Lourenço 09/02/2019 healthcare data analytics patient satisfaction optimization data science data mining transformation patient care efficiency medical care statistics There are a number of ways in which data analytics tools are being used in the healthcare sector to improve patient care with customized solutions. In this post we explore how useful data analytics can be in the healthcare sector.
When logistic regression is used? Tânia Santos 07/31/2019 regression analysis statistics data mining logistic regression data analytics regression models pseudo r2 accuracy sensitivity specificity hosmer and lemeshow The regression methods are an integral component of any data analysis. Sometimes this involve develop a prediction model in which the outcome is a dichotomous variable. In this post we will talk about binomial logistic regression and when it's used.
HOW IS DATA ANALYTICS TRANSFORMING THE TELECOM INDUSTRY? Ricardo Lourenço 07/10/2019 data analytics data science telecom industry business transformation customer care customer profiling forecasting data driven solutions retention In this we talk about some of the most prominent ways in which data analytics is transforming the telecom industry nowadays
HOW DATA ANALYTICS CAN BENEFIT YOUR ECOMMERCE SITE Ricardo Lourenço 07/02/2019 ecommerce data analytics machine learning data science marketing campaign traffic business conversion competitors decision making Irrespective of your ecommerce store size and shape, data analytics tools can prove helpful for you to develop a better understanding of your marketing activities.
THE RELEVANCE OF DATA ANALYTICS IN HR Ricardo Lourenço 06/25/2019 data analytics human resources employee retention satisfaction benefits performance analysis workplace organizations decision making Data analytics tools are quite relevant for human resources to leverage employee information and take better and informed decisions in the prospect of employee growth. Let's deep dive a little more about the subject in this blog post.
HOW DATA ANALYTICS CAN HELP UNDERSTAND CUSTOMER BEHAVIOR? Ricardo Lourenço 06/18/2019 analytics customer business data big data data science data analytics machine learning marketing marketing analytics campaigns insights strategy Data analytics and statistics have undeniably played a very significant role in leveraging results for many sectors, and the marketing sector is no different. One of the most important ways is helping marketers of understanding consumer behavior.
5 COMMON CHALLENGES THAT COME IN THE WAY OF DATA ANALYTICS Ricardo Lourenço 06/05/2019 analytics challenges business data big data data science data analytics machine learning marketing marketing analytics insights strategy bias There is no doubt about the fact that data analytics has many benefits for businesses, but somehow there are also many challenges that will come in your way while integrating data analytics in your marketing strategy.
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.
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.
