Invitation for the November Meetup on 17.11.2016 in Stuttgart

The topic Big Data is currently hotter than ever! More and more companies are recognizing the power of data and invest in Big Data projects and analytics solutions. A cultural change has taken place. We look back on the exciting Big Data year gone by, and we look forward amidst all this, to the topics, trends and technologies that await us in 2017.
We would like to invite you to our final event in 2016. Sponsored and assisted by Ernst & Young GmbH, we will meet you on the premises of the futuristic building SkyLoop (Flughafenstraße 61, 70629 Stuttgart) on Thursday, 17.11.2016 starting 6:30 pm. We following lectures are going to be presented:

Bid Data – from Data sump to “Intelligent Datalake” (Sören Eickhoff, Informatica GmbH)
In order to generate business value adds from a big data environment, it is helpful for data analysts to search for specific data within the data lake via a graphical user interface. They must be able to understand where these data come from and in what business context. Further, it is necessary to prepare this data in a simple manner to then process it within the Hadoop environment.
With his presentation and a live demo, Sören Eickhoff would like to show how these topics can be addressed with an “Intelligent Datalake” solution. Mr. Eickhoff is going to detail us on other functional aspects of a Big Data Management solution:

  • Integration and parsing of data from different sources
  • Security solutions, such as data masking
  • Ensure data quality within the Hadoop environment

About the speaker:
Sören Eickhoff  works as Sales Consultant in the Big Data area at Informatica. He has successfully lead a large number of client projects, all pertaining the topic Big Data. Before this, he has worked at IBM as a technical sales and Solutions Architect in the areas of Cloud, Service Management and IoT.

Big Data – Dynamic Pricing (Florian Buschbacher, Ernst & Young GmbH)
The term “Dynamic Pricing” connects everyone to a petrol station. In fact, the prices of flights, hotel rooms and even groceries and food items are now adjusted according to the buying habit, time and day of the week. Added to this are external data such as weather, traffic or holiday. Through intelligent algorithms, it is possible to adjust the (price-) elasticity between sales and price and the predictive buying habits in order to increase the earnings in a goal-oriented manner.

About the speaker:
Florian Buschbacher heads the Big Data & Advanced Analytics Tax division for Ernst & Young, DACH-Region. He has more than 15 years of experience in the area of analysis of mass data using modern Data-Mixing-methods. Thanks to the combined degrees in Tax Law, IT and an MBA, Mr Buschbacher has a deep understanding of the interfaces, processes and challenges between departments and IT and consults companies in various sectors on the topics of digital strategies and value creation potential.