To Jon Cajacob, people in his multinational electronics and automation organisation are becoming more and more interested in dealing with huge amounts of data in “an effective and efficient way” and as a result, the Alteryx community within Siemens is growing.
The group is solidified through a work social network with approximately 100 people using a Yammer group where Siemens-specific ideas and solutions are exchanged. One of the solutions was a tool that enabled the transfer of data from Alteryx to a Tableau server; this tool is now used widely throughout the company. They also have biweekly key user sessions where users are encouraged to share use cases thus facilitating peer-to-peer learning.
As a project manager of data and analytics in finance, Cajacob is dealing with a lot of financial data and so he uses the analytics platform to connect many different data sources. He said: “The entire consolidated financial data of the entire operating company, we joined that data with a lot of other different data sources, for example, market growth rates, productivity data, customer products and integrated all these sources.” Then the data was transformed so that it could work for the front end and then be transferred to the Tableau servers where those building dashboards and creating reports for the analysts, could access it.
The entire process is fully automated, there was no IT involved and no technical experts required to implement the new process which are key benefits for Cajacob as he is working with very complex data and data structures. Furthermore, there is a lot of risk involved when working in finance where small errors can be very costly but using automated processes that reduce the reliance on spreadsheets reduces that risk.
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