Kreuzlingen, Switzerland, February 16, 2016 --(PR.com
)-- "This dialog focuses on use cases and business models already possible today," explains Sven Hardt, CEO of Swiss-based organizer Cintelligence Ltd.
Four speakers represent process industries. These industries can optimize their typical challenges in fields like processes, supply chains, security or compliance with the help of Big Data.
Weidmüller is a leading manufacturer of electrical connection technology. They use Big Data in energy and maintenance processes to cut internal cost, but also to develop new products and services for their customers.
Logistics giant Deutsche Bahn is represented by two speakers from IT and HR.
Three presentations at Big Data Strategy Dialog focus on marketing, a discipline put upside down by Big Data. Media corporations develop new Big-Data-driven business models.
Classical market research is strongly affected by Big Data. Why doing interviews when the relevant information is accessible for automated analysis on the web? Established market research companies must adapt quickly to these new market surroundings. Two of them present their new Big-Data-based business models at the Big Data Strategy Dialog.
Big Data can also pimp a classical CRM into a truly intelligent semi-automated sales engine by integrating social media and other web information intelligently and in real-time. Maria-Amparo Sanmateu, Senior Project Manager at Deutsche Telekom think tank T-Labs points out how users gain competitive advantages by integrating brand new approaches in their sales process.
Reinhard Breyer, CIO at Mercedes tuner AMG, presents a Big Data QM use case based on SAP HANA. The processing and visualization of tens of thousands data points within seconds in engine testing accelerates the testing process, cuts cost and improves product development, because the real-time analysis identifies weak points already in testing that otherwise would have been uncovered way later.
What is the Big Data technological status quo and where are we heading to? For Dr. Franz-Josef Pfreundt, Head of High Performance Computing (HPC) at Fraunhofer Institute for Industrial Mathematics, current infrastructures as Splunk or Hadoop are quickly over challenged with highly complex predictions. For him current technological leaps in machine learning and deep learning are the base for new Big Data infrastructure built around HPC and artificial intelligence.
Big Data also offers new opportunities for R&D. Spinner GmbH is a manufacturer of high frequency technology. Because the classical development approach led to a deadlock in the case of a new product idea Spinner developers decided to use a Big-Data-based simulation. Dr. Christoph Neumaier, Innovation Manager at Spinner, is still surprised that the simulation produced new and good solutions they never had in mind before. Falling HPC cost made highly complex simulations feasible that just some years before have been too expensive for the medium sized business.
For Hellmann Worldwide Logistics Big Data implementation has been a strategic corporate project. Dr. Saskia Untiet-Kepp, Manager Global Information Systems reports how they started to identify use cases and created information and data catalogs. IT systems needed to be expanded. New jobs and roles have been created in the organisation. One lesson: Big Data is not only about technology but also about organizational and cultural change.
All these presentations are very different but they have one thing in common: Big Data is always disruptive. The intelligent real-time analysis of giant amounts of structured, semi-structured and unstructured data with new technologies is not BI in a new guise. Big Data is the base for new business models, new products and new processes. Companies have to master this challenge technologically and culturally to stay competitive.
The German Big Data Strategy Dialog at 12th/13th April in Bonn is a rare opportunity for decision makers to receive valuable and useful ideas and suggestions on the way to a fully digitalized enterprise.