Tsumcor ist super (findet Gregor)!

from data to insights, from insights to actions

Data analytics projects can leverage businesses and their value propositions, but typically inhibit substantial outcome uncertainty and require highly specialized knowledge.

We help you develop your ideas, efficiently proof their feasibility, iteratively implement them until deployment, and rigorously evaluate their impact.

VALUE PROPOSITION​

To all Roles in the Data-Driven Company
We have value propositions for most roles in the data-driven company: from decision makers and sponsors, to project and product managers, right up to data scientists.

SERVICES​

Enablers throughout the Analytics Project Lifecycle
We offer services that cover the full analytics project lifecycle: from ideation all the way to deployment and evaluation, explicitly addressing the fact that data typically reveals its secrets only piece by piece

At Tsumcor Research, we actively live the transfer of knowledge between industry and academia. Through us, our clients can benefit from the most promising technological developments in research, and obtain analysis with scientific rigor.

Dr. Gregor Reich
Founder and Senior Consultant

EXPERTISE

The Full Range of Data Analytics​
Our expertise includes predictive analytics, (causal) inference as well as prescriptive methods–where insights truly become actions.

TEAM

The People behind Tsumcor Research​
With the knowledge and experience of our team, we can boost the success your data analytics endeavor!

OUR VALUE PROPOSITION

To all Roles in the Data-Driven Company

Decision makers and sponsors are in the unique position to leverage their companies through new projects and transformation, but they also bear final responsibility for their successful and timely completion as well as the overall costs–all based on limited and maybe biased information.

We are there to:

  • independently assess the potential, the risks,and the efficiency of ideas and project plans
  • analyze the methodological rigor of existing approaches and implementations
  • help promoting new ideas and approaches to customers, regulators, and other stakeholders
  • systematically evaluate the outcome of implemented projects

Project and product managers are the center and the pivot of data analytics projects, equipping them with a potential for enormous impact. Consequently, expectations from both management and team members on expertise and creativity, but also on management and judgement skills are very high.

We support project and product managers in:

  • framing and assessing ideas and their potential business impact
  • handling outcome uncertainty and taking the shortest path to proof-of-concept and beyond
  • communicating effectively with both management and the team
    forming, developing, or flexibly extending their team
  • giving rigorous evidence of their value creation for the company

Data Scientists are privileged to work at the heart of the implementation of analytics projects every day. But the field is developing quickly, making it challenging to stay up-to-date in the daily routine; also, attracting new colleagues with highly specialized field knowledge on a short notice is difficult.

We help data scientists in:

  • complementing your expertise with ours through tailored trainings and ad-hoc consulting
  • efficiently narrow down and fine-tune solution approaches
  • critically assessing your approaches and implementations, and obtaining insights for improvement
  • expanding your team in various roles and functions
  • demonstrating and communicating the effectiveness and adequacy of your methodologies to your managers

OUR SERVICES

Enablers throughout the Analytics Project Lifecycle

Ideation Support

Explore the space of opportunities and the space of methodologies; learn how to connect and integrate them.

Feasibility Analysis

Assess the availability and the quality of your data; prove feasibility of the project through
rapid prototyping.

Health Check

Lift confidence in planned or operational methodologies through rigorous peer review; obtain insights for improvement.

Project Management

Master outcome uncertainty of complex innovation projects with long time horizons with agility through iterative “minimum viable experiments”.

Project Evaluation

Evaluate projects and their realized business value using rigorous experimental design
and causal inference.

Education & Assessment

Educate members of your team at all levels in customized trainings; assess potential candidates.

OUR EXPERTISE

The Full Range of Data Analytics

Descriptive Analytics

Explore available data using summary 
statistics, figures, or interactive widgets:

"How does the data look like?“
"What 'hidden' factors drive consumer choices?“

The starting point of almost every analytics 
project. Part of any data scientist’s toolbox.

Diagnostic Analytics (Inference)

Answer qualitative questions; quantify the size of an effect:

"Did a marketing campaign improve sales?“
"What 'hidden' factors drive consumer choices?“

Employs innovative tools from experimental design, causal inference, and high-dimensional data analysis. Besides serving our clients, we actively do academic research in this field.

Predictive Analytics

Combine data and models to predict future outcomes; "mine" the data for generalizable patterns:

"What products are frequently bought together?“
"How likely will a customer cancel his/her subscription?"

The most popular application of machine learning in analytics. Our teaching at the university level forces us to stay up-to-date—to the benefit of our clients.

Prescriptive Analytics

Derive a policy that maps data to optimal actions:

"When to initiate a machine repair so as to minimize maintenance and break-down costs?“
"How to target customers over 
time so as to maximize profits from sales?“

Combines methods from operations research, machine learning, and artificial intelligence. We develop our own products based on prescriptive technologies.

OUR TEAM

The People behind Tsumcor Research

Dr. Gregor Reich

Der diplomierte Informatik-Ingenieur, Scrum-Master und Product Owner konzentriert sich auf die Leitung sowie die fachliche Gestaltung von Digitalisierungs- und Automatisierungsprojekten. Mit seinem umfangreichen Erfahrungsschatz in der Anwendung von Technologien zur Unterstützung neuer Geschäftsprozesse rüstet er Unternehmen für ein hart umkämpftes Umfeld auf, 
Derartige Projekte sind häufig mit technologischem sowie organisatorischem Wandel und den entsprechenden Unsicherheiten verbunden.

Markus Kreher

Der diplomierte Informatik-Ingenieur, Scrum-Master und Product Owner konzentriert sich auf die Leitung sowie die fachliche Gestaltung von Digitalisierungs- und Automatisierungsprojekten. Mit seinem umfangreichen Erfahrungsschatz in der Anwendung von Technologien zur Unterstützung neuer Geschäftsprozesse rüstet er Unternehmen für ein hart umkämpftes Umfeld auf, das vom schnellen, digitalen Wandel geprägt ist.
Derartige Projekte sind häufig mit technologischem sowie organisatorischem Wandel und den entsprechenden Unsicherheiten verbunden. Deshalb setzt Markus Kreher konsequent auf die Anwendung von agilen Methoden und Lean-Startup-Grundsätzen, um schnell Ergebnisse zu erzielen und wichtige Erkenntnisse für die nächsten Schritte zu gewinnen.