econda and Exasol

Background

When it comes to managing websites long-term and improving their effectiveness, Loading...web analytics are an absolute must for any modern business. Using web analytic tools, you can capture, evaluate and calculate visitor behavior and set important KPIs accordingly. These performance indicators help to define relevant measures and actions that a website owner can carry out in order to fuel website visitor growth and meet other objectives.

Founded in 2004, econda’s data driven e-commerce suite ranges from shop monitoring, with its unique role as an e-commerce data center, to a tool for automatic purchase recommendations. All of econda’s products come with high-end tracking features, offer a wide range of functions, can be used intuitively and activated very easily. By means of a custom-designed dashboard, econda customers can run lightning-fast analyses so that they can adjust their online offers every minute in order to respond to existing and potential customers with even greater precision.

• Industry Services
• Application BI Acceleration
• Database Exasol

The solution

Exasol is a central data store that offers maximum flexibility

Asked what the decision criteria for Exasol was at the time, Ralf Saier explains: “Fast raw data analysis with complete flexibility was extremely important to us. We were very impressed with the system’s scalability offering, the low administrative effort and the extensive support available to us.” The Loading...Loading...in-memory database from Exasol is used by econda as a central data store and analytical tool; all products are ultimately based on Exasol.

High-end tracking technology for real-time data analysis

Ralf Saier, senior software developer at econda, takes up the story: “Our decision in 2011 to use Exasol was absolutely the right thing to do. By integrating Exasol, we allow our customers to benefit continually from new insights by running exploratory data analytics.”

By condensing the information subsequently into specific behavioral patterns, segments can be formed and customers better researched. An online store merchant, for example, can compare the long-term effect of his marketing campaigns. He might determine that visitors who participated in the last prize competition had a return rate three times higher and sales revenue was twice as high as the rest of the visitors to the online store. Such visitors can prove to be particularly loyal and valuable. Moreover, visitors who were acquired through social media efforts might be significantly more active than those from other channels. Based on these findings, the operator of the online store could increase investment in competitions and social media, and therefore strengthen long-term customer loyalty.

Dr. Philipp Sorg explains: “These complex analytic jobs need to run in less than a minute. Using the Loading...Loading...in-memory database from Exasol, we can now make our analytic workloads run up to 100 times faster than before. “It goes without saying how performance levels have increased dramatically when compared with the previous system. It is comforting to know that Exasol will grow with us and our customers, thanks to its scalability. We have the right tool that will help us cope with an increase in analytical workloads and help us expand our product line,” ends Sorg.