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b.telligent Blog: Data Science

What does a Data Science Team actually produce?

What Does a Data Science Team Actually Produce? Analysis or Apps? Our expert Dr. Michael Allgöwer clarifies it in this blog post!

 

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b.telligent Blog: Data Warehouse & Business Intelligence

Small SAP course – The RSADMIN

What are the settings and functions of the RSADMIN configurationtable? This and further information will be visualized to you by Markus Sontheimer.

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b.telligent Blog: Customer Intelligence Insights

How stationary trade catches up to online shops

In this blog entry, our expert Harald Mösel will be able to demonstrate to you the current and future challenges for in-house retailers.

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b.telligent Blog: Reporting

The Local Connection Arrow by Longview BI

Experience the advantages of the local connection arrow in this blog entry by Stefan Kersten.

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b.telligent Blog: Data Warehouse & Business Intelligence

The Advanced Data Store Object (ADSO) and its Tables

In our blog post, we illustrate the new table structures and functions of the Advanced Data Store Object in the context of SAP BW on HANA!

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b.telligent Blog: Data Warehouse & Business Intelligence

Adapting the Knowledge Modules IKM in ODI Part 1

Here you will learn, how to customize technical fields by means of the Knowledge module IKM Oracle Slowly Changing Dimension!

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b.telligent Blog: Data Warehouse & Business Intelligence

Chances of customer-oriented Datawarehousing

Aiming the company towards the client plays an important role. What does this have to do with customer-centric Datawarehousing? Find out here!

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b.telligent Blog: Customer Intelligence Insights

Digital Changes in Trade

Find out in this blog entry which effect the digitalization on trade has - online and at the Point of Sale.

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b.telligent Blog: Data Warehouse & Business Intelligence

Handling SCD with the Oracle Data Integrator 12

In this blog entry, we show you how to implement Slowly Changing Dimensions in the Oracle Data Integrator.

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b.telligent Blog: Data Warehouse & Business Intelligence

Welcome to the Data Management blog

In the future, our new blog will keep you up to date on current problems and solution approaches regarding the topic 'Data Management'.

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b.telligent Blog: Data Science

Best practice for SQL statements in Python

Experience different kinds how to create SQL-Statements via Python and discover which one is the most useful.

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b.telligent Blog: Data Science

Development of a powerful Data Science Team

How can you build an efficient Data Science team in your company? Our colleague Simon Nehls explains it in this blog post!

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b.telligent Blog: Data Science

From SAS to R and back

Check out the possibilities of the data exchange between SAS and R. Follow our new mini-series for new insights on SAS and R...

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b.telligent Blog: Customer Intelligence Insights

Best Practice: Campaign Implementation

What are the key issues in campaign implentation? Dr. Wolfgang Leusser explains this in our blog!

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b.telligent Blog: Data Science

Boosting for the Naive Bayes Classifier

How you can program the AdaBoost.M1 algorithm with the naive Bayes classifier in R? Our colleague shows how it works!

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b.telligent Blog: Data Science

Deep Learning in the Spotlight

Deep Learning - Read our blog to find out more about Deep Artificial Neural Networks on Very Large Data Sets for the Evaluation of New Data...

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b.telligent Blog: Data Science

Python modules for Data Science

You want to get an overview of Python-based alternatives? Then you are exactly right in this blog post!

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b.telligent Blog: Customer Intelligence Insights

Time Series Analysis Made Easy

Time Series Analysis Made Easy – Completely Without Analysis Tool? Learn how to do it!

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b.telligent Blog: Reporting

Howto: Connecting Cells by means of arcplan 8.6

Connecting cells by means of arcplan 8.6 - Find examples and insights to the new arcplan 8.6 version in our blog post.

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b.telligent Blog: Data Science

Predictive Analytics and the Presidential Election

Dr. Michael Allgöwer explains why Donald Trump hardly is the next American president and why it has surprisingly little to do with predictive analytics.

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