
Data for the cause: here’s how big data is used to solve social problems
All companies are encouraging use of data for the common good.
All companies are encouraging use of data for the common good.
There are many tools to conceptualize and design mobile applications, both in the process of developing wireframes as well as interactive prototyping. Here's a list of some of the options in the market.
A good Big Data application must have a powerful display so the user can easily absorb all the knowledge provided by the data.
Everyday more and more apps are developed aimed at helping businesspeople enhance their decision-making processes. AppData, awarded the third prize at InnovaChallenge Mexico, is one example.
Geomarketing campaigns help you improve your business, and you can use tools to implement them. For example, Pear Campaigns, a winning solution in InnovaChallenge Mexico.
Science needs computer technology to handle the vast quantities of atomic data and convert them into information from which knowledge can be inferred. The need to process and organize these data gave rise to languages for statistical treatment like R.
Credit card operators have for some time used machine learning techniques in Apache Hadoop platforms to attract new customers, drive up turnover, provide personalized recommendations and detect fraud.
Mapping data, visualizing them in geospatial apps and applying automatic learning. We put our knowledge into practice with the help of these video tutorials.
Tableau has become one of the most widely used tools among data analysts in both the corporate and business world and among professionals who use it for editorial purposes.
Graph databases help to find relationships between data and extract their true value. One of the best known is Neo4j, which is a service implemented in Java.