Get brief and compact information about current trends in data analysis and innovations in Statistica 13. The webinars are free of charge for you.
Man kennt zentralistische Ansätze für Datenanalyse wie Data Mining oder Streaming Analytics und dezentrale wie IoT und Edge Analytics. Die Vielfalt, das Volumen und die Geschwindigkeit der Daten sind die essentiellen Charaktere von IoT Daten. Die Qualität und der damit verbundene Wert der Daten entscheiden über deren Nutzung. Wie ist das zu verstehen? Prof. Dr. Diego Kuonen berichtet.
Centralistic approaches for data analysis are data mining or streaming analytics, a decentralized approach is IoT and Edge Analytics. Volume, Variety and Velocity are the essential characteristics of IoT data. Veracity and Value are the qualification for use characteristics of IoT data. What does this mean? Prof Dr Diego Kuonen explains.
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The digital revolution is in full swing: concepts such as Big Data, Cloud, Internet of Things, Internet of Everything, Fourth Industrial Revolution, Smart City and Data Management are no longer just concepts - they are already changing our lives in a whole new, exciting way.
The digital transformation began with a first wave of digitization that later became a data or big data revolution. But now it's about a second wave of digitization, so that we can learn from data or big data and realize greater benefits for both businesses and society as a whole.
Learn from Prof. Dr. med. Diego Kuonen, how analytics (the science of "learning from data" or deciphering the meaning of data) becomes the engine of a new wave of digital transformation. Learn also the biggest challenge, namely the correctness of the "data tree", ie the trustworthiness, reliability, validity and quality as well as the potential of this data.
The webinar is about demystifying concepts and concepts around digital transformation and big data. In addition to machine learning and artificial intelligence (or machine intelligence), Prof. dr. Kuonen the connection between data science and statistics. He will address the trends, challenges, opportunities, and related digital skills and principles required for successful digital transformation.
Dr. Marek Skowronek, Statsoft Polska presents the general principles of implementing statistical process control and selected methods of data analysis, which can be used in product quality monitoring. In the second part of the webinar, a module dedicated to product quality monitoring will be presented. It can be used to facilitate statistical data analysis with the preparation of a report for the purposes of product quality review / ongoing process verification. Our webinar is dedicated to all involved in product quality evaluation, including quality and production.
For a start, each analytics projects needs an idea, a question and data. The cross industry standard process for data mining CRISP-DM is an approach for a successful implementation. There is more, of course. Prof Dr Diego Kuonen, Statoo Consulting explains the how and what.
The foundation of all analytics projects is data. Quality Data in combination with the right method can deliver the most exciting insights or in the worst case a wrong prediction. What has to be considered? Prof Dr Diego Kuonen explains approaches and procedures.