QuoData Quality & Statistics is a medium-sized company based in Berlin and Dresden and active in the areas of statistics and analytical quality assurance. Drawing on state-of-the-art statistical methods, we develop software products and provides services for a host of international clientele.
Quality assurance concerns the reliability of your
- production process
- measurement method/instrument
In other words, quality assurance is essential for you to obtain and maintain your customers' trust.
Statistical methods play a central role in all questions relating to quality assurance. Our expertise in the application of these methods translates to greater efficiency, hence to reduced costs - which is what you're interested in.
QuoData is constantly broadening its expertise and business portfolio. Close collaboration with leading scientific institutions guarantees that its methods and procedures are always up-to-date.
QuoData is committed to the highest professional standards in all its activities. The continuous growth of its clientele over and beyond European borders vouches for its success.
QuoData is your competent partner and consultant on matters relating to
- quality assurance and the optimization of measurement methods
- statistical modelling
- software development
- interlaboratory tests
- development of bioassays
Our competence in each of these core areas is underpinned by our expertise in the application of statistical methods and our extensive experience in cooperation with scientific institutions and other partners/customers.
QuoData - We Let Your Data Speak
QuoData is pleased to announce its annual workshop series for 2020. As a service provider in the field of analytical quality assurance, QuoData regularly offers a number of workshops for QA experts.
The workshops give participants an opportunity to dive deeper into different topics regarding the latest developments in international standardization, as well as to get to know the advanced approaches of QuoData.
For 2020 the workshop schedules are as follows:
On Friday, October 25th 2019 the first #MLDD Expeditions event successfully took place at QuoData’s Dresden premises. The main purpose of this meeting was to bring together experts who work in tech, e.g. data scientists, software engineers and developers to stimulate the discussion of trends in machine learning. Meeting like this is a great opportunity for sharing knowledge and best practices around data engineering.
From 17th to 18th October, QuoData will visit Ljubljana, Slovenia to attend the EQALM symposium – a meetup of European external quality assurance organizers in laboratory medicine.
During the symposium QuoData scientist Kapil Nichani will introduce how artificial intelligence can be utilized in PT for prognosis of future laboratory performance. A novel easy-to-interpret score developed for qualitative PT/EQA data will also be presented.
The 2019 international PROLab workshop was successfully hosted by QuoData on 25-27 September at its Berlin premises. International participants from Turkey, Serbia, Germany and Indonesia attended this fruitful 3-day in-depth workshop.
The workshop covered various topics on interlaboratory studies - method validation as well as proficiency tests in compliance with the relevant standards such as ISO 13528:2015, ISO 5725 and ISO/IEC 17043.
The range of human activity directly or indirectly involved in addressing issues related to food safety has considerably expanded in the last decade. In the past, the focus in food safety lay on quality control measures implemented to ensure productive processes met performance criteria. Nowadays, however, a narrow understanding of the issues surrounding food safety will compromise our ability to fully mobilize the potential of new digital and AI technologies.
Artificial intelligence methods are now seeping into healthcare, medicine, agriculture and food sectors. Keeping the buzz aside, such methods are increasingly efficient at addressing a task at hand. The area of food safety is not unknown to these technological developments in big data and contemporary machine learning methods. For example, use of AI as part of analytical measurement procedures, internet of things (IoT) enabled analytical devices, use of predictive analytics algorithms for crunching large data sets, to list a few.
Together with U.S. Food and Drug Administration and the Institute for Food Safety and Health, QuoData held the second training course on validation of qualitative microbiological methods from 18 to 20 September at the University of Maryland as part of the joint workshop series.
QuoData is delighted to host the large and vibrant machine learning community of Dresden (MLDD) for the first #MLDD Expeditions event on Friday, October 25th 2019.
Come join the community at QuoData's Dresden premises on Prellerstrasse 14, to discuss trends in machine learning and to get in touch with other scientists.
From 9 to 13 September 2019, QuoData’s head of IT, Christian Bläul led two in-house training courses on the use of the QuoData flagship software “PROLab”, which is developed specifically for planning and evaluation of proficiency tests (PT) during his visit to Toronto, Canada.
As part of QuoData’s ongoing efforts to improve quality assurance and performance assessment of laboratories through proficiency testing, QuoData participated at PT Conf in Oradea, Romania, taking place from September 10th to 13th.
The seventh international proficiency testing conference brought together an important and vital group of researchers and PT professionals. It also provided QuoData with an opportunity to meet face-to-face in order to share knowledge and insights with other experts.