Today’s customers are multy-channeled, mobile, social, intelligent and value oriented. Data science, predictive modeling and analytics can effectively help organisations to reimagine customer journey and improve...
Category - Data Innovation Summit 2016
Big Data And Analytics = Big Problems – Errol Koolmeister
Applying advanced analytics is a resource intense process. Applying big data analytics requires significant competence and resources, and it comes with BIG challenge/s such as parsing through billions lines of...
Data Science In Industry: The Road Ahead – Diego Galar
The rising discrepancy between the data expansion and our technological means to cope with it highlights the pressing need for development of coordinated scientific approaches. Data Science represents a novel...
Hockey Analytics – Christer Bodell
There is a revolution going on within sports, itâs called analytics. It will not be a matter of using analytics or not. From now on itâs a matter of how those analytics are used and applied. Sound familiar to your world...
Executing A Data Management Strategy Within A Full-Stack AdTech Solution – Ashwin Desikan
With digital advertising accounting for close to one third of Swedenâs total advertising spend, the use of data to increase digital advertising performance has become the key differentiator of success for marketing...
Data Retention Laws And Data Visualization: What Do They Reveal About You? – Andy Cotgreave
Sweden and data retention laws have not had an easy history. Whatever your thoughts, have you ever stopped to think just how much can be learnt from even the most basic phone metadata? Using only drag and drop visual...
The Business Value Of Apache Hadoop – Alexander Bartfeld
Big data is no longer just hype. As the Apache Hadoop ecosystem has evolved and matured, enterprises are graduating from evaluation and prototype into production, deploying Hadoop-based platforms to deliver...
Chairman’s Closing Remarks – Henrik Göthberg
Chairman’s closing remarks: Henrik Göthberg, Director Group Financial Systems at Vattenfall
Need For Distributed Speed – Anders Arpteg
As a data scientist, working at a data-first company leads to many interesting challenges. It is not only about building music recommendations, but also about being able to performing advanced analytics and machine...
Open Source Data Science With Python, Spark And Jupyter – Daniel Tidström
One of the major advantages with Hadoop is the schema-on-read and data lake architecture that simplifies storing huge amounts of data in its raw form. Having solved the storage part is a good thing but accessing...