Our Blog Posts
Is no one listening to your content marketing initiatives?
More and more people are spending more and more time consuming online content. Only about ten years ago the average internet user spent about 2 hours per day online. As the internet has become increasingly mobile, this figure has doubled. In 2015, over 80% of the population in Western Europe and the US were online.
Keep calm, you have a USP
Tamedia to become the shopping mall of Swiss e-commerce. In one way or another, this was how the public perceived the company following the announcement of its full-year results this March. Therefore, it seems as if there is nothing more to content than a means to draw as much people as possible to their platforms.
Big data trends in 2015
An increased interest in big data and advanced analytics was evident in 2014, forcing companies of all sizes to react if they want to remain competitive. More and more businesses have been seized by the phenomenon, also reflected by hiring trends: According to a HR data analytics provider, the demand for IT project managers with big data expertise has increased by over 120% in the past 12 months.
Top non-commercial big data success stories
Not only businesses are embracing analytics to gain competitive edge.
Beyond lead generation – Sales enablement
Marketers who want to help their sales teams close more deals are now focusing on sales enablement. But unlike established corporate functions such as accounting or finance, sales enablement is still an emerging concept that has not yet made its way into job titles and still means different things to different companies. For some organizations, sales enablement is putting marketing materials onto the intranet — without giving the sales force an insight on what clients want.
Sports analytics help Germany win the World Cup
Now that the World Cup in Brazil has come to an end, both sports and technology bloggers alike seem to have one big question: Did Big Data give the German national team the competitive edge to win the World Cup? Media reports confirm the winning team’s use of the customized analytics software Match Insights, engineered by business software giant SAP.
Rise of the marketing technologist
New profession proves that marketing and technology have become inseparably intertwined.
Digital disruption in the banking industry
Should banks be doing more to address advances in technology?
Predicting the future superstar
Will analytics revolutionize the ailing record industry?
Our habits of buying and listening to music have changed drastically over the last few years. It is no longer common to go out and buy a physical copy of your favorite artist’s new CD. Thanks to streaming sites such as Spotify, anyone can listen to it for free. More and more people are “torrenting” music files, i.e. sharing them with others through the internet.
Analyzing big data with TDA
An century-old method of visualization is getting new attention.
It is a common misconception that business intelligence technologies can be used to find a diamond in a coal mine. Business analytics is more for confirmation than for random exploration. In other words, the experienced analyst first formulates a hypothesis that two or more things are related or that some underlying behavior is driving a pattern and then collects the data.
Google self-driving car a big data project
Asked what inspired him to build the Google self-driving car, Sebastian Thrun mentions being at the DARPA Grand Challenge in 2003, a long distance competition for driverless cars, funded by the United States Department of Defense. Witnessing how these cars went up in flames after only a mile, he was convinced he could do better.
Spotting trends with Big Data
More and more industries are discovering the predictive power of large-scale data analysis.
In the era of Big Data, uncovering new and interesting correlations with huge data sets offers unprecedented opportunities. More and more businesses are jumping on the bandwagon and have begun to analyze and visualize data in ways that matter to them, for example to structure decisions, improve pricing or avoid waste.