Quantitative Consulting
... your guide to the world of analytics

Analytics projects to optimise your business. From short projects focused on specific activities, to the full integration of analytics-based KPI into your IT systems – we provide solutions based on a detailed understanding of your business situation.

Our offer

Analytics portfolio

How can analytics help you, what are typical projects, and how does it work? Have a look at examples from our marketing and analytics portfolio.


Consulting approach

Our approach is focused on quickly getting results. We also support you in implementing the most useful solutions into your daily workflows. Read more about our approach, and the benefits you have in working with us, below.



Analytics - why not do it yourself? We offer a number of workshops aimed at promoting the use of analytics in your company.



Articles on marketing and analytics

Not ready for a project yet? Follow the Blog! Articles on marketing and analytics topics for a general audience will appear in this section.


The R analytics blog

This section, intended for the more technically minded readers, will deal with real data analysis problems and their solutions – mostly in R.


About me

I am a consultant and project manager in marketing and business analytics. Having worked in the area for more than 15 years and having led the Data Science and Analytics teams at IRI Germany from 2009 to 2016, I am now again working as an independent consultant focusing on applications of Big Data and AI in marketing.

Our Analytics Portfolio

How can analytics help you, what are typical projects, and how does it work?

These are examples of typical modules of our analytics projects. You can set up stand-alone projects based on each of these modules. More often, we will use several of these to tailor a customised solution.

Price elasticity measurement and price optimisation


Customer and market segmentation


Attribution and business driver optimisation


Benchmarking systems


Result visualisation and reporting tools (I)


Simulation and planning


Our consulting approach

From short projects to measure specific activities, to the full integration of analytics-based KPI into your IT systems. We provide solutions based on a detailed understanding of your business situation. Learn more about our consulting approach below.

Data Opportunity Assessment

An important aspect of Big Data is bringing multiple data sources together to build new products and services or to improve the efficiency of processes. Many companies today are as yet unclear what data they have and how to use them effectively.

Our Data Opportunity Assessment is an efficient way to get started on the Big Data journey. Systematically going through an assessment of data sources and marketing opportunities, and testing against benchmarks of existing solutions gives you a qualified list of top opportunities to work on.

Kick-off Workshop

  • Setting the scene with relevant case studies
  • Review and prioritisation of the Data and Opportunity checklists and discussion guides
  • Review of opportunities already under discussion and brainstorm to complete the lists

Interviews and data collection

  • Discussion and evaluation of opportunities and data with internal business and IT experts
  • Review of the data sources and collection of samples from relevant data

Analysis phase

  • Synthesis of evaluations of data and opportunities from interviews
  • Analysis of relevant data sets
  • Sketch of implementation steps needed and estimated impact for top opportunities


  • Presentation of findings from the interview and analysis phase
  • Discussion of top list of opportunities
  • Final validation of relevance, resources needed and impact

Start quickly, then scale up and automate

Start with an assessment of analytics opportunities. Capture the most interesting opportunities through an ad hoc analytics project right away. Scale up if the solution fits your needs and should be integrated into your regularl workflows.

Assess Opportunity

  • Expert workshops and interviews
  • Initial data analysis
  • Efficiency and focus through checklist system

Capture Opportunity

  • Data collection, analysis and creation of customized statistical– or machine learning model
  • Discussion workshops and business recommendations

Keep Opportunity

  • Simulation– and optimisation tools directly usable by teams
  • Proof of concept for automation. Documentation of steps for data loading, preparation and integration

Scale Opportunity

  • Continued support in cooperation with IT department
  • Full documentation of all algorithms used
  • Development of needed components


Reasons to choose Quantitative Consulting

If you want the analytics to fit your business instead of the other way round, Quantitative Consulting the right consultancy for you.


We understand your business. Translating business problems into procedures and algorithms and then translating back into a relevant recommendation is what we do.


Building on 15 years of experience and a corresponding large repository of analytics components, we are able to kick-start our projects and quickly develop a solution sketch. This is then discussed in detail and worked out according to your priorities.

IT mindset

We understand IT. Starting with the procurement of the first test data to planning and supporting the integration of an automated solution into your IT landscape, we understand the restrictions and priorities of IT operations. We work together with your IT teams to find the best solution.


We believe in an open culture. We explain what we do and why and what the alternatives are. If a solution works for you, we support you in deploying it in your company with appropriate documentation and training of the teams.

A powerful Data Science toolset

We put a powerful open source stack at your disposal. Open source means for you that tens of thousands of developers and scientists have tested and optimised these solutions. Of course, we are also fully equipped to interface with the tools you have, or to scale out to the cloud whenever necessary.

Professional experience

Rely on a PhD in Mathematics to break down any problem into its simple components. Rely on 8 years of analytical consulting background for a full understanding of your your business and for adequate communication at all levels. Rely on another 8 years of experience leading several analytics and business intelligence teams for keeping the overview even in large analytics implementation programs.


PhD in Mathematics from Bonn University

2001 – 2005

Consultant and project manager at Simon-Kucher & Partners

2006 – 2008

Freelance Consultant, Quantitative Consulting

2009 – 2016

Head of Analytics, Technology and Data Science / Quality assurance at IRI Germany



Do you have questions, suggestions, a project ready to go? Do not hesitate to get in touch!

Dr. Boris Vaillant, Quantitative Consulting

Blumenhof 23
D-53119 Bonn
++49 176 64 11 65 94


USt-ID / VAT-ID: DE247366130

Quantitative Consulting

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