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Company Overview


As a consulting company, at b.telligent we specialize in introducing and advancing Business Intelligence, Customer Relationship Management, DWH and Big Data systems in enterprises that are active in mass markets.

b.telligent stands for the highest quality and thoroughness. It’s no wonder, because all our consultants are well-educated, motivated, and experienced. In our owner-operated company, one senses the energizing atmosphere that drives our consultants towards our goals, stimulating them to foster and execute their visions in concert with us. Our corporate philosophy provides room for each and every employee to do her/his part to keep us going forward.

Since 2004, over 300 clients have benefited from our corporate culture. With over 150 employees spread across six offices, we support our clients in establishing and advancing their data-driven business models.

Industrie 4.0

Industry 4.0 with the Professionals

For today's businesses 'Internet of Things' and 'Industry 4.0' are a big challenge. b.telligent will help you to master these - inquire now!

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Big Data

Big Data Consulting from the Specialists

What is Big Data and how can companies handle large amounts of data? b.telligent has the right answer for you and your company. Contact us now!

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Visual Analytics

Visual Analytics and Visual Data Discovery

Visualize with Visual Analytics your businss data expressively and detect thus relationships and trends - b.telligent will be happy to assist you!

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b.telligent Blog: Reporting

SAP BO 4.2 SP07 and a look into the future

Learn all about SP07, the last SupportPack for SAP BO 4.2 and get an outlook on SAP BO 4.3, which will be released at the end of 2019!

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b.telligent Blog: Data Science

Causal inference - the eternal question of "why"

Can we identify causes and effects in our data? Find the answer in our latest blog post - read it now!

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b.telligent Blog: Data Science

Are you data-driven? Or is it the noise that drives you?

A modern organization should base decisions on data, not gut feeling. But what if that data contains more random fluctuation than meaningful information?

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