Adverse Drug Events Discovery Using Natural Language Processing
Data & AI
If companies want to use the advantages of the digital transformation for themselves, they have to manage and evaluate their ever-growing databases appropriately.
We help our customers to generate economic benefits from data. We integrate heterogeneous data sources into classic data warehouse structures and multidimensional analysis models, design and implement big data platforms and real-time scenarios and use innovative search technologies. We solve demanding tasks in the areas of data management and analytics, for which companies often do not have their own specialists.
Case Studies
dm-drogerie markt: Development of a Fully Automated Data Centre for the Online Shop
When a major brand like dm strategically enters the online market, it creates high expectations. For this reason, their IT subsidiary FILIADATA, which has been responsible for all dm’s IT systems since 1988, launched a project in 2013 which was aimed at laying the foundations for reliable, fail-safe IT operations for dm.de. These included creating a large, fully automated Linux infrastructure in the data centre on which sophisticated web services like the online shop can be operated.
READ CASE STUDYProSiebenSat.1: Development of Big Data and Data Science Solutions
ProSiebenSat.1 is greatly interested in the specific contributions made by TV ads to the added value of the e-commerce company advertised. Exactly how many visitors visit the e-commerce website because they saw the TV ad? How much revenue is generated by those visitors proven to have come to the website from the TV ad? The challenge was that standard solutions for analysing web traffic cannot explain the correlation between TV ads broadcast (events outside the online world) and the online behaviours they trigger.
READ CASE STUDYREWE digital: Demand Forecasting for REWE’s Delivery Service
inovex and REWE’s collaboration in the area of supply chain optimisation has focused particularly intensively on REWE’s IT subsidiary, REWE digital.
This particular project involved developing demand forecasting for REWE’s delivery service, leveraging big data technologies to enable easy scalability.
spotsize: AI helps shoe shoppers determine the right size for a better user experience
spotsize has developed a solution which turns online shops into the shoe-shopping experience customers are familiar with from brick-and-mortar stores. Using an augmented reality (AR) solution, the spotsize application takes over the shoe-fitter’s role. With the help of machine learning, the program uses a smartphone camera to measure customers’ feet to determine the appropriate shoe size.
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