bnosac — open analytical helpers

Open Analytical helpers

Statistics, AI and data science, built in the open.

BNOSAC provides expertise in statistical modelling, data science, text mining, web scraping, biostatistics, statistical web development and integration services regarding data analytics.

Supporting all facets of the usage of data analytics at the enterprise. From adhoc analysis to tailor made & integrated solutions.
We help set up the best working conditions for data scientists, get them up to speed with training and provide solutions to speed up deployment.

Build → Automate → Deploy

What we do

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STAT-01

Statistical Consulting & Biostatistics

Study design, biostatistics and applied statistics for clinical, industrial and social-science data.

  • Clinical trial design & analysis
  • Mixed / multilevel models
  • Survey & social-network analytics
  • Simulation studies

STAT-02

Spatial Analytics

Geostatistics and spatial modelling for environmental, agricultural and location-based decision problems.

  • Geostatistical modelling
  • Spatial interpolation & kriging
  • Point-pattern analysis
  • Map-based reporting

DS-03

Text Mining

Turning unstructured text — documents, tickets, reviews — into structured, actionable signal.

  • Named entity recognition
  • Topic modelling
  • Document classification
  • Multilingual NLP pipelines

Products

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txtminer

active

Automated text analytics

A web application for running text-mining pipelines without writing code — built on our open-source R packages.

RolleR

maintained

R continuous integration platform

Build, test and deploy R packages and scripts on a schedule, with reporting your whole team can read.

dokstok

active

Enterprise data & model repository

A central, versioned repository for datasets and statistical models across an organisation.

From the blog

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featured

Multilevel models for social network data

How we structured a mixed-model analysis when observations are nested inside a social network rather than a simple hierarchy.

Jan Wijffels statisticscase-study

udpipe: new release notes

Notes on the latest udpipe release: tokenisation performance and new language models.

BNOSAC r-packagenlp

Lessons from scraping at scale

What tends to break first when a scraping pipeline moves from a prototype to a daily production job.

BNOSAC web-scrapingcase-study