Big Data

What is Big Data?

When we shop online, book vacations, and search for gift ideas, we hardly give a second thought to the fact that each search entry leaves behind a trail of our identity. Busy web bots are never far behind and sweep up this information. The result of all of this is Big Data: massive volumes of data that are analyzed and used for a variety of reasons. But is there reason to be wary of leaving behind [...]   

Information overload – too much advertising?

Every day we are bombarded with adverts and messages loaded with all sorts of information. And there are those that argue that globalization has meant that the market has become saturated with products. Many consumers feel overwhelmed by the sheer amount of information. This so-called information overload means that consumers take in hardly any adverts anymore. Here you can find out exactly what [...]   

What is data-driven marketing?

Throughout the internet, users leave behind digital footprints: whether it’s while browsing your favorite sites, taking a look at different products or offers, or even just googling an address. With the help of analyses and algorithms, data-driven marketing makes it possible to connect the dots and find relationships. Marketers are able to extract important information from these findings in order [...]   

Data mining: analysis methods for big data

The total amount of data generated worldwide increases by 40% every year. Many companies seek to make use of the constantly increasing mountain of data in order to increase their e-commerce business. But making use of such Big Data alone doesn’t add any value — enter data mining. Below you can find a discussion of the various analysis approaches involved in data mining, to give you an idea of how [...]   

A comparison of data mining tools

In the digital age, it’s normal for data from small and medium-sized companies to grow to unmanageable amounts. Data mining tools are used to extract desired information from data sets. These extract recurring patterns from the data and make them available to marketers and statisticians. We have compared the most important data mining software and show where their strengths and weaknesses lie.   

Information Retrieval: how Search Engines retrieve Data

In our everyday life, we search for and receive a lot of information. Through the Internet, the searching for data and facts has changed tremendously. Search engines help us find the information we need from the vast amount available. But how do Google and other search engines actually gather the information? Behind both large search engines and smaller library databases, there are so-called [...]   

Google Data Studio for visual data analyses

Data analysis is a purely theoretical matter for most people. But in order to provide the customer with information, it’s important to be able to visualize sets of data. With Google Data Studio, you can summarize data from different sources into one handy report. Our guide gives you an overview of Google’s latest offering.   

Microsoft Access alternatives at a glance

MS Access is widely used office software and enables people with no prior programming knowledge to work with databases. The license for the program, however, is not exactly cheap. Several free alternatives to Microsoft Access promise to do essentially the same thing. But which are the best Microsoft Access alternatives? And can they actually keep up with the range of functions and standard of [...]   

DWH | What is a data warehouse?

More and more businesses are adopting dispositive data with the aim of making strategic decisions shaped by reports, prognoses, and patterns. The database is usually supplied by an information system that functions as a central data repository, separate from a data operating system. This is known as a data warehouse, or a DWH for short. A data warehouse is a modularly built system made up of [...]   

Predictive analytics | Definition and examples

What is predictive analytics? The subsection of big data analysis has similarities to data mining. But what exactly is the difference and how does predictive analysis actually work? We provide the answers on this method of data analysis, show you what it is used for, and what tools there are for using the technique of predictive analytics.