Most companies have a wealth of user data at their fingertips. This data can provide insights to inform marketing strategies, boost customer satisfaction, retain and attract customers. The key, however, lies in the way marketers collect, analyze, and leverage that data to reach desired goals. Marketing analytics enables marketers to gain actionable insights that drive results.
This article reviews the basic concepts of marketing analytics, including best practices and tools..

Hace miles de años que miramos el cielo. Desde los egipcios, e incluso antes, hay constancia que el ser humano ha intentado entender lo que hay más allá de lo que podía tocar con las manos. ¿Qué hemos conseguido desde entonces? Muchísimo..

In a world where organizations of all sizes gather vast quantities of data every single day, there is a real need to get insights from these huge data sets that drive better business decisions. After all, what is the point of collecting data from disparate sources if your business doesn’t get some benefit from all that information?

However, traditional database software cannot process and analyze such voluminous, complex data sets. This is, in essence, the problem that big data analytics solves, by providing powerful systems that can process and get insights from large data sets..

This article describes how CoolaData implemented Druid to provide a real time infrastructure for its behavioral analytics platform, and discusses some benefits and limitations of Druid..

Written by Yair Harel, Senior Software Architect at CoolaData

El análisis RFM es una conocida técnica de segmentación del clientes. El modelo toma en consideración tres métricas:

1) Ticket medio de compra (Money)

2) Frecuencia de compra (Frecuency)

3) Tiempo qué hace que no compra (Recency)

En base a estas métricas clasifico a los clientes..

Por tercer año consecutivo, el Business Intelligence se encuentra en lo más alto de la tabla de prioridades tecnológicas para CIOs (Directores de Sistemas) según Gartner.

Para este año 2016 se prevén cambios al alza que eran claros, pero también crecen algunas prioridades que habían caído entre el 2014 y el 2015..

This article is the first of a total of three that we are going to publish from LITEBI, each one will be part of a Whitepaper focused on the effects and contributions of Business Intelligence to the company from the point of view of the CEO. 

What is Business Intelligence?

Wikipedia gives us the following definition on this concept:
“Computer-based techniques used in identifying, extracting, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes”

In other words, software tools that enable that all the information of a company (sales, purchases, financial information, production, marketing, etc.) “flows” in an organized way through the business, reaching the right person, at the right time. To this, in LITEBI we would also note that achieving Intelligence needs full-featured and integrated tools to manage and optimize the performance of the company as a whole and to align it with the business strategy.

A tool with all these characteristics makes things easier for those in charge of the decision making in each department: a CFO, a Sales Manager, a CEO or a Controller.