Operationalization of statistical evaluations

How can you derive concrete, operational measures from valuable evaluations and thus create real added value for your company? Discover how the operationalization of data analyses can make the decisive difference and revolutionize your data-supported decisions.

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Advantage

More user-friendly solution and savings on license costs

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Data

Open responses from more than 40,000 survey participants

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Tool

Open Source R

Challenge

The database and controlling department of an internationally active NPO evaluates, among other things, the impact of mailings (post/e-mail) to existing contacts with regard to the donation activities attributable to them. When generating and preparing this information as an HTML or PDF report, the organization relied on a heterogeneous tool landscape consisting of MS Office products and the proprietary analysis software SPSS®.

Goal

Data management, analysis, reporting and graphic creation: The NPO would like to replace the existing toolset with the introduction of a holistic solution in order to optimize work processes and expand functionality.

Data science implementation:

Three steps to your successful data product

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Solution

As it met all the requirements, the customer decided to switch to the free data science language R. eoda paved the way for the development of R's potential. In doing so, eoda supported its customer both with the programming of the corresponding analysis script and with coaching to build up its own expertise in the use of R. The R script provided fulfills the individual framework conditions with regard to the formatting of the resulting reports and at the same time automates recurring tasks such as data preparation.

This is made possible by the extension packages available for R with methods for almost every application scenario, which replace the previously used software components and add features such as exporting results to MS Word and PowerPoint.

Result

With the combination of the unique functional scope of the free programming language and the knowledge of the R specialist eoda, the organization was able to raise its statistical evaluations to a higher level. The responsible employees on the customer side benefit from a user-friendly and consistent solution with significantly expanded analytical possibilities and customized reporting with consistently high quality. Another advantage is that by using an open source language, the NPO has the opportunity to save on existing license costs in the future.

Due to the high level of satisfaction, the organization plans to use R beyond the described use case. As part of a proof of concept, eoda developed a model for the non-profit organization that predicts the probability of a donation with regard to influencing factors such as past donations or the timing of a mailing.

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We look forward to exchanging ideas with you.

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Your expert on Data-Science-Projects:

Lutz Mastmayer
projects@eoda.de
Tel. +49 561 87948-370







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