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 presented its tools and services at Arab Health 2020 in Dubai. From 27 - 30 more than 55,000 visitors attended one of the most influential events for healthcare professionals in the MENA region.
One of the world’s largest trade fair for healthcare and medicine takes place from 27th to 30th January at the Dubai World Trade Centre. As an exhibitor of the official joint stand “Saxon Pavilion”, QuoData will be attending the fair.
From Friday evening, January 24, 2020, to Sunday, January 26, 2020, QuoData hosts the second Drupal Sprint of the Dresden Drupal User Group.
At this meeting you can exchange and code as much as you want with other programmers in a cozy atmosphere over mate and beer.
Whether you're a beginner or a long-term developer, everyone is welcome here.
QuoData was delighted to attend the 13th EURACHEM workshop on measurement uncertainty from sampling and analysis to be held from 19th – 20th November.
QuoData continuously develops and improves concepts for quality assurance and contributes to the Eurachem community showcasing novel ideas and tools at scientific meetings.
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.