DW - Data Warehousing & Modeling

Implementation of an end-to end Performance Management solution

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Echo relied on element61 to play a key role in the definition and execution of their Performance Management strategy. element61's activities started with jointly defining a Performance Management roadmap, that formed the basis for the implementation of both a BI and CPM solution. In the implementation process, element61 was responsible for the analysis of the requirements, the solution design, and the implementation using a best-of-breed technology mix of MS SQL Server 2008, IBM Cognos BI 8 and IBM Cognos Planning 8. This project was executed in very close collaboration with the Echo team and has received substantial industry recognition with the BI Vision Award and the Best Finance Team Award.

Implementation of a BI-Saas solution for production reporting & analysis

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Reynders Labels was looking for a BI solution to replace their inadequate Excel reporting solution. element61 built a Microsoft SQL Server based BI solution for them, in a Software-as-a-Service ("Cloud") architecture. The scope of the project was to provide a reporting and analysis environment focusing on the production data of their printing presses.

Data Warehouse for Soudal

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In parallel to an ERP migration program from Baan to SAP, Soudal decided to implement a new data warehouse. After a BI roadmap exercise by element61, MS SQL Server 2008 was selected as technology platform for the new data warehouse.

From batch to real-time reporting and analytics

Portrait de Bart Van Der Vurst

With the emergence of digitization and IoT, it becomes crucial for some companies to enable faster decision making through faster data insights. Gone are the days when everyone can wait for hours or days to look at insights and performance dashboards.

In this insight, we have proven that providing these real-time insights means a change in system architecture for many business intelligence teams. In our expert opinion, we concluded that a best-practice real-time architecture consists of two main building blocks: a receiving end-point to receive the data streams and a real-time analytics layer to transform the data.

We conclude that getting started with real-time analytics isn't complex: all leading vendors as well as open-source providers offer a serious of proven solutions and as solutions are offered through the cloud, they start with no investments needed (pay-as-you-go basis).

R language

R, also called GNU S, is an open-source language and environment designed for statistical computing and graphics. Although it's been existing for 20 years, R remains the most popular statistical programming language used today. R is both a language as well as an environment. To access both, one needs the environment installed on its computer or server. 

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