The AE Hackathon gives customers and prospects 36 hours to come up with an innovative idea and a minimum viable product. The fifth edition of the Hackathon took place in June 2018. In this series, you will meet all the participants.
Early June, the Money2020 circus landed in Amsterdam. One should take this literally since “circus” was the major theme for this year’s European edition of the Greatest FinTech Show on Earth, as the organizers themselves tend to call this event.
With stellar speakers and panels on 8 different stages for 3 days long and a buzzing expo hall with over 250 start-ups, scale-ups and mature corporates presenting their services, wrapping up the take-aways is a challenge.
Let me share the 5 quotes that resonated the most to me.
KBC is one of the largest bank-insurers in Belgium for both private individuals and medium-sized businesses. In order to strengthen their market position, and evolve towards a data-driven organisation, the bank wants to maximize the value from the available data.
With the evolution towards a data-driven organisation, the intensive use of commercial data and data analysis has developed into a strategic core-competency for KBC. Together with their business partners, they are building multiple new quality data layers (Commercial data, Risk data, etc.) which contain accurate and consistent data, are based on unambiguous definitions, comply with the new GDPR legislation and can be unlocked at the right moment, in the right form and via the right channel. These new Data Layers are developed on a Big Data platform with specific tools and technologies.The bank recruited the help of AE in order to convert the data that they are gathering into useful and practical insights for the internal services. The ultimate objectivel is to ensure a personalised approach for end-users of KBC.
A previous series of blog posts on Marketing Analytics offered an extensive overview of the available analytical techniques for marketing and their added value. Some examples of these techniques included market basket analysis, customer segmentation and churn prediction. A conclusion reached in these blog posts was that data analytics are the ideal extension to traditional marketing: based on data, we gain insights into (potential) customers and their behaviour, so that we can target them in an even more personalised manner.
The first of a two-part blog post zooms in on an important category of marketing analytics: Geospatial analytics or Geographic analysis. What can geographic analysis signify for your business? What is the added value of using this analysis? In a second blog post, we will explain the more technical aspects, show you how you can start up this analysis with the help of the open-source software R (the R Project for Statistical Computing) and provide a complete step-by-step plan of our own workflow.
Curious on how you can integrate interactive Visio diagrams in your Power BI reports? Check out this blog post for a detailed walk-through. To top it off, we'll also include the brand new what-if-analysis feature in the mix.