Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.
Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources.
Our contribution :
-Define the right Data Analytics & Business Intelligence technology : SPOTFIRE, BI4 from SAP
-Build new reports and tools based on Spotfire, BI4 from SAP, MS Excel or repair existing
Some examples of Data Analytics :
https://www.youtube.com/watch?v=50Pw1PTu2UQ - Advanced Location and Predictive Analytics
https://www.youtube.com/watch?v=NkRo1r_r7OQ - Data Analysis of Colombian GDP
It is about being pro-active instead of reactive!