Cloud-based
data analysis

Efficient analysis and visualisation of after-sales data through an automated data pipeline 

Using the AWS cloud platform to process after-sales data through an automated data pipeline

After-sales data such as information on complaints, customer satisfaction surveys or customer loyalty measures is often stored in different locations, different formats and for different purposes. Insular information management systems like these are known as data silos, and make evaluation of the data very time-consuming if not impossible. Cloud-based data analysis and visualisation using an automated data pipeline can be the perfect solution when it comes to optimising after-sales activities and strengthening customer loyalty. And machine learning methods provide useful support.

Your contact

Danny Claus
Danny Claus
Machine Learning Expert

Phone
+49 7541 70078-771

Contact us

Requirements of the machine learning solution

  • The goal is efficient data analysis with an integrated analytics platform

  • Integration of heterogeneous data sources

  • Structuring of the data

  • Creation of an automated end-to-end data pipeline

  • User-friendly implementation of dashboards to visualise the data

Our data-driven technologies at a glance

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AWS cloud platform – the perfect solution for collecting and structuring after-sales data

In order to properly structure after-sales data, we’ve developed an automated cloud solution on AWS. This enables the integration of heterogeneous and distributed data sources. The data is imported automatically at regular intervals, and a centralised data repository is built to store all data securely in one place (avoiding the problem of data silos). By implementing an end-to-end data pipeline, data can be processed, transformed, aggregated, cleaned and analysed. A clear and simple visualisation of the data is created using Tableau.

 

 

At a glance: Added value through the use of automated data pipelines

 

  • Fast, efficient decisions

  • Available data is relevant and meaningful

  • Data can be evaluated and displayed quickly and easily

  • Data is readily accessible to a wide range of users on custom dashboards

How can we help you with cloud-based data analysis and visualisation?

Your contact

Danny Claus
Danny Claus
Machine Learning Expert

Phone
+49 7541 70078-771