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Webinar: Get the most out of your data with OfficeExpert and DataMiner

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Watch recording incl. demo: http://pan.news/dATg30kvF6Q
Abstract: Interested in how to play with all the data OfficeExpert collects through the use of DataMiner? In this webinar you will first learn some of the basics of DataMiner and how you too can bring all this ‘gold’ to the surface. Following this, I will go through several examples to show you how to combine the different data sources and how to visualize them in Microsoft PowerBI. Walk away with a clear understanding of how best to use both OfficeExpert and DataMiner products efficiently.

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Webinar: Get the most out of your data with OfficeExpert and DataMiner

  1. 1. Make Your Data Work for You Get the most out of your data with panagenda OfficeExpert and DataMiner
  2. 2. Speakers 2 Daniel Klas Inbound Marketing Coordinator panagenda Stefan Fried Product Manager panagenda Join the conversation using #OfficeExpert #DataMiner & @panagenda
  3. 3. I. Introducing DataMiner (DM)? II. Why DM is part of OfficeExpert? III. Live Demo IV. Q & A Agenda
  4. 4. Make Your Data Work for You Introducing DataMiner
  5. 5. Analytics API • Addon solution – Runs on the OE virtual appliance • Ask your own questions – Custom SQL Queries • Information designed for your audience – BI Dashboards
  6. 6. Accessing DataMiner • https://<your-oe-server>/dm
  7. 7. DataMiner Menu • Edit Mode • Menu Items – Database Schema
  8. 8. DataMiner Database Schema • Interactive info on table description, column names and data types
  9. 9. DataMiner Query Editor Add new Query Query Code Query Properties Materialize Query Query Execution
  10. 10. Make Your Data Work for You Why DM is part of OfficeExpert?
  11. 11. Flexibility, Flexibility, Flexibility • Customer can access all collected Data • Combination with an OfficeExpert PowerBI Template • Direct Grid links from OE towards DM • And more
  12. 12. Let’s play with data! 1. First Steps 2. Out of the Box OfficeExpert queries 3. Default OfficeExpert PowerBi Template 4. Parametrized query example
  13. 13. Parametrized Query Aim: Instead of using a static query, I want to pull data based on certain input parameters Select * from <table> VS select * from <table> where <param> <param> = User Input Example: :<whatever>=<fieldname>
  14. 14. Questions and Answers 14 Daniel Klas Inbound Marketing Coordinator panagenda Stefan Fried Product Manager panagenda Join the conversation using #OfficeExpert #DataMiner & @panagenda
  15. 15. Headquarters, Austria: panagenda GmbH (Ltd.) Schreyvogelgasse 3/10 AT 1010 Vienna Phone: +43 1 89 012 89 Fax: +43 1 89 012 89-15 E-Mail: info@panagenda.com Headquarters, Germany: panagenda GmbH (Ltd.) Lahnstraße 17 DE 64646 Heppenheim Phone: +49 6252 67 939-00 Fax: +49 6252 67 939-16 E-Mail: info@panagenda.com USA: panagenda Inc. 60 State Street, Suite 700 MA 02109 Boston Phone: +1 617 855 5961 Fax: +1 617 488 2292 E-Mail: info@panagenda.com Germany: panagenda Consulting GmbH (Ltd.) Donnersbergstraße 1 DE 64646 Heppenheim Phone: +49 6252 67 939-86 Fax: +49 6252 67 939-16 E-Mail: info@panagenda.com The Netherlands: Trust Factory B.V. 11th Floor, Koningin Julianaplein 10 NL 2595 AA The Hague Phone: +31 70 80 801 96 E-Mail: info@trust-factory.com © 2007-2015 panagenda Make Your Data Work for You

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