We discuss the best technologies and strategies to help airline e-commerce in the battle against the post COVID-19 airline recession.
A privacy compliant Bluetooth App concept to track Coronaviurs infections with a Blockchain in the backend.A process, consisting out of various steps is shown. 1. Two smartphones exchange secrets and IDs. 2. Hashes are build. 3. The hashes get stored in a local database. 4. One user gets sick and is infected with the Coronavirus. 5. The sick users hahed data gets upload into a peer to peer network, a database or a blockchain. 6. The paried second user from the beginning downloads the dataset of the Coronvarius sick person. 7. The helathy person controls the record with the local smartphone database when the potential infected person was met. 8. The smartphone of the helathy person shows an alert with the potential infection details.
Coronavirus apps enhance social distancing. We describe how to build privacy compliant Coronavirus Bluetooth tracking Apps with Blockchain and open standards.
Mobile providers have data which cell towers are received by a smartphone. With Big Data Analytics this data can give insights if most people stay home to optimize controls and restrictions.
We discuss how mobile provider Big Data and Time Series Database based Analysis can support the containment of Covid-19 and reveal an concrete implementation guide.
Are you missing out on personalized recommendations to make your e-business a success? Here is how personalized recommendations help your e-commerce,
Time and viewpoint of the same the object reveal different insights Multi-dimensional Time Series Analysis supports changing viewpoints. Here we see an example based on the italian city Matera
80% of Data Science work is information preparation. We describe foundations of multi-dimensional Time Series Analysis from Data Warehousing OLAP.
Are e-commerce discounts and promotional campaigns doing more harm than good? And is Big Data Analytics powered Hyper-Personalization the solution? Let’s explore.