title: Management perspectives of Data-driven, ecosystem-based business transformation
Creators: name: Kalam, Alin
Publisher: name: TU Wien
Year: 2019
Subjects: subject: Data-driven
subject: Digitization
subject: Digital Transformation
subject: Data Ecosystem
subject: Industry Survey
subject: Aviation
subject: Finance
subject: Data-driven
subject: Digitization
subject: Digital Transformation
subject: Data Ecosystem
subject: Industry Survey
subject: Aviation
subject: Finance

description: From the first wave of mechanical production to current day, throughout modern history we have been witness of several industrial revolutions. As if it was not enough also ground-breaking political and socio-economic transformations related to those modernizations reshaped our world several times and for sure there are yet many transformations to come! In times globalization and emerging developing markets, organizations are facing numerous challenges. According to a Bitkom survey, 30% of businesses in Central Europe say they have trouble coping with digitization and the main reason behind this circumstance is their overall approach to data-driven innovations. Since the amount of available data increases steadily, both private companies and public organizations are concerned with managing and handling data, which in many ways is the key to developing innovative business models across all sectors and technology fields. As a leading IT &amp; Management executive, I have explored in last nine years digitalization as nothing new but much more an on-going process, which started decades ago with the mass automation of modern industry. For a long time, the extent of digitization has been therefore underestimated as a simple buzzword. However, it is clear that the digital transformation is more than only further automation, since it covers e.g. concept of user experience, emotion based automation and above all artificial intelligence supported through modern data-driven capabilities as machine learning etc. It even combines data-driven process optimization with revolutionary producing technologies as 3D printing, which is also known as “Industry 4.0”. Having mentioned the current progressions, digitization will reach its peak very soon and every industry should be concerned about it. On the one hand digitization will help creating new business models and emphasize new market players with competitive advantage against legacy companies and on the other hand it is a door opener to process optimization, cost reducing and further automation for nearly every field of economy. For instance unlikely many traditional companies, digital players such as Airbnb, Uber, Spotify, Netflix and co. put not only customer benefit, profitabilityetc. but also modern data processing capabilities in focus. Mainly because only those capabilities deliver important insights and possibilities of predictions for decision-making processes, building new services and addressing them to customers. A dada-driven company from bottom to top can process data effectively to create valuable information &amp; insights faster than the competitors and seen from this perspective most of digitization is data-driven. This thesis will scientifically confirm many aspects &amp; hypothesis of data drivendigitization. It will handle the topic of “data-driven digitization” directly connected to management &amp; ethical aspects to provide detailed insights about synergy effects between those fields.