Statistical Data Analysis

b-data offers appropriate services for all aspects of statistical data analysis.

Software and Tools

RCloud – The Social Coding Environment for Big Data Analytics & Visualization

RCloud provides a web-based integrated development environment (IDE) to explore data on an interactive command line, including visualization and interactive graphics. Users can access several state-of-the-art functionalities from software development:

  • syntax auto completion
  • versioning (GitHub Gists)
  • multiple languages (R, Python)

RCloud is built with collaboration and transparency in mind: search, run, comment, fork, modify and share code and analyses – deployed as web services, web pages or dashboards.

Statistical Consulting

Analytical skills & practical relevance

b-data combines profound knowledge with practical experience to support you in every stage of data analysis. These generally include:

  • collection and management
  • cleansing and aggregation
  • analysis and interpretation
  • visualisation and reporting

If you consider establishing these competencies with RCloud in your working environment, we offer you the following services:

  • installation of hosted or internal RCloud
  • training (BeginneR, BacheloR, MasteR)
  • support (update, code review, visualisation)
  • migration from other analytical platforms

Statistical Programming

Many years of experience in statistical data analysis with R

We are excited to take on your problems and find the solution for you!
Our services are industry independent and focus in particular on the following methods:

  • six sigma, statistical quality and process control
  • regression analysis and forecasting
  • time series analysis and forecasting

Are you working with Excel and reaching the limits to process the rising amount of data? Use RCloud for automated data processing and make use of its advantages:

  • Interfaces to various DB-systems (MS SQL, Oracle Database, IBM DB2, etc.)
  • No restriction on 1’048’576 rows and 16’384 columns as in Excel
  • Output of results in almost any format possible (incl. Excel)

Industrial Engineering

From systems analysis to implementation

Systems- and Business Analysis

It starts with the analysis

You want to optimise your business processes? Then you have come to the right place!
We support you with our knowledge both in the optimisation and reengineering of existing as well as the definition of new business processes.

Hereby, we follow these steps:

  1. Scope definition
  2. Problem analysis
  3. Requirements analysis
  4. Logical design
  5. Decision analysis

Operations Research

Continuously monitoring adjustments

In all phases of the industrial engineering we use appropriate methods in order to support the analysis and decision process:

  • stochastic modelling
  • linear programming
  • queueing theory

This enables you to immediately analyse and optimise any adjustments in the subsequent planning and implementation phase.

Project Management

Implementation: The key step

We actively assist during the implementation. On the one hand to ensure that the adjustments are implemented as planned, on the other hand for the creation of the process documentation, to provide a solid basis for future optimisation.