Data is the key to Marketing Automation


One topic every company is currently discussing on high level is the topic of marketing automation. It is a key factor to digitalisation of the marketing approach of a company. With Marketing Automation, we have the chance that marketing gets much more precise and to the point. No more unnecessary marketing spent, every cent spent wise – and no advertisement overloading. So far, this is the promise from vendors if we would all live in a perfect world. But what does it take to live in this perfect marketing world? DATA. One disclaimer upfront: I am not a marketing expert. I try to enable marketing to achieve these goals by the utilisation of our data – next to other tasks. Data is the weak point in Marketing Automation. If you have bad data, you will end up having bad Marketing Automation. Data is the engine or the oil for Marketing Automation. But why is it so crucial to get the

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Hadoop where are you heading to?


One of my 5 predictions for 2019 is about Hadoop. Basically, I do expect that a lot of projects won’t take Hadoop as a full-blown solution anymore. Why is that? Basically, one of the most exciting news in 2018 was the merger between Hortonworks and Cloudera. The two main competitors now joining forces? How can this happen? Basically, I do believe that a lot of that didn’t come out of a strength of the two and that they somehow started to “love” each other but rather out of economical calculations. Now, it isn’t a competition between Hortonworks or Cloudera anymore (even before the merger), it is rather Hadoop vs. new solutions. These solutions are highly diversified – Apache Spark is one of the top competitors to it. But there are also other platforms such as Apache Kafka and some NoSQL databases such as MongoDB, plus TensorFlow emerging. One would now argue that all of that is included in a Cloudera

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My top 5 Analytics and AI predictions for 2019


This is the last post of my series about the topics I care most about. This time, I will focus on Analytics and AI. Especially the last topic (AI) has been a major buzz-word this year, so it is interesting to see what might happen in 2019. Therefore, my predictions for 2019 are: 1. Governance will be seen as major enabler – or blocker – for self-service analytics. Self-service Analytics will become a key goal for most companies Let’s stay on the ground: a “deal-breaker” for Advanced Analytics and Data Science is often the inability to access data (fast) or bad data quality. Both topics can be handled well if data governance is treated with major investments within enterprises. I often see data scientists waiting for days or weeks to access data. Once they have access to data, they only figure out that the quality is very bad. Let’s face it: data governance wasn’t important in enterprises nor attractive. Nobody

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My top 5 Big Data predictions for 2019


Big Data was a buzz-word over the last years, but it started to prove value in the last years as well. Major companies started to develop Big Data strategies and made their organisation fit to become “data driven”. However there is still some way to go. Therefore, my 5 predictions for 2019 are: 1. Big Data Services will become more popular on the Cloud, impacting the business model for On-Premise Hadoop providers One obvious development in the last year was that the object stores (such as Amazon S3) became more popular for processing large amounts of data. This heavily threats the “traditional” HDFS based solutions, which are fully built on Hadoop. With Object Stores, HDFS and thus Hadoop becomes obsolete. Processing is done now with Spark. Also, most established Cloud providers started to create automated Spark services. This gives the customers more flexibility over traditional solutions. However, traditional HDFS still brings some advantages over Object stores such as fine-granular security

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My top 5 Cloud predictions for 2019


Another year has passed and 2018 has been a really great year for the cloud. We can now really say that cloud is becoming a commodity and common sense. After years of arguing why the cloud is useful, this discussion is now gone. Nobody doubts the benefits of the cloud anymore. The next year, most developments that already started in 2018 will continue and intensify. My predictions for 2019 won’t be revolutionary but the trends we will see in the short period of this year. Therefore, my 5 predictions for 2019 are: 1. Strong growth in the cloud will continue, but it won’t be hyper growth anymore In the past years, companies such as Amazon or Microsoft saw significant growth rates in their cloud business. These numbers will still go up by a large, double digit, growth rate for all major cloud providers (not just the two of them). However, overall growth will be slower than previous years as the

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Cloud is not the future


Now you probably think: is Mario crazy? In fact, during this post, I will explain why cloud is not the future. First, let’s have a look at the economic facts of the cloud. If we look at share prices of companies providing cloud services, it is rather easy to say: those shares are skyrocketing! (Not mentioning recent drops in some shares, but these are rather market dynamics than real valuations). One thing is also about overall company performances: the income of companies providing cloud services increased a lot. Have a look at the major cloud providers such as AWS, Google, Oracle or Microsoft: they make quite a lot of their revenue now with cloud services. So, obviously here, my initial statement seems to be wrong. So why did I just choose this one? Still crazy? Let’s look at another explanation on this: it might be all about technology, right? I was recently playing with AWS API Gateway and AWS Lambda.

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Data Science Conference 4.0


Data Science Conference 4.0 is going to be in Belgrade again soon this year, and I am happy to be one of the keynote speakers there! The program will be fantastic, so looking forward to see as many as possible there :). From the organisers: Data Science Conference / 4.0 (DSC 4.0) will be held on 18 and 19 September in hotel Hyatt Regency Belgrade and is organized by Institute for Contemporary Sciences (ISN). During the two days Belgrade will be the epicenter of Data Science and guests will have an opportunity to hear 62 talks and 4 discussion groups, as well as take part in exclusive content such as workshops and more than 12 technical tutorials. More than a 1000 attendees are expected from over 25 countries around the work, which makes DSC 4.0 one of the three biggest data science conferences in Europe.   Hadley Wickham, Chief Scientist at RStudio and an adjunct Professor at Stanford University, will

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The Datalake as driver for digital transformation & data centricity


Everyone (or at least most) companies today talk about digital transformation and treat data as a main asset for this. The question is where to store this data. In a traditional database? In a DWH? I think we should take a step back to answer this question. First of all, a Datalake is not a single piece of software. It consists of a large variety of Platforms, where Hadoop is a central one, but not the only one – it includes other tools such as Spark, Kafka, … and many more. Also, it includes relational Databases – such as PostgreSQL for instance. If we look at how truly digital companies such as Facebook, Google or Amazon solve these problems, then the technology stack is also clear; in fact, they heavily contribute to and use Hadoop & similar technologies. So the answer is clear: you don’t need overly expensive DWHs any more. However, many C-Level executives might now say: “but we’ve

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