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Company Overview

b.telligent is a technology-independent consultancy specializing in business intelligence, customer relationship management, data warehouse, big data, data science and cloud technologies.

With over 200 employees at six locations in Germany and Switzerland, b.telligent supports companies in all phases, starting with strategy, proceeding through analysis, design and implementation, right up to operations and solution advancement. The focus here is on optimizing digital and data-driven business processes as well as customer and supplier relations.

More than 300 customers here include leaders from the sectors comprising telecommunications, financial services, retail and industry. brandeins Wissen has once again distinguished b.telligent as one of the best consultants in Germany in 2019 in the category "Data Analytics & Big Data".

Business Intelligence

The right BI Strategy for your Company

Collect, analyze and use business relevant data and remain competitive with Business Intelligence and the support of b.telligent - contact us now!

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Reporting

Corporate Management through Reporting

The objective of an efficient Reporting is the comprehensive presentation of the relevant business data - get here more information from the specialists!

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Marketing Automation

Customer Communication with Marketing Automation

Adress your customers at the right time with the content via the right channel with Marketing Automation - b.telligent will be happy to support you!

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b.telligent Blog: Data Science

Building Blocks for intelligent Applications

Our blog post gives an overview of AWS AI Services: One way to integrate Artificial Intelligence into intelligent applications.

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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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b.telligent Blog: Data Science

Neural averaging ensembles

Find out how ideas from ensemble learning can be used to tailor neural network architectures for applications based on tabular data.

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