Leaders in Innovative Research Solutions

Blog

The MRDC Reporting Toolkit Webinar

Webinar – 6 August 2019

Our webinar, The MRDC Reporting Toolkit (running time: 56 minutes), discussed the difficulty of getting figures from tables into reports as well as unveiling the first release of the new toolkit which is free to all our customers.

Webinar content

The webinar opened by looking at the practical problems suffered by researchers and those reporting research data. The main problems are:

  • Waiting for fieldwork to complete so that reports can be finalised
  • Handling tracking study reports
  • Producing multiple reports
  • Correcting errors
  • Reducing errors

The majority of the webinar covered a practical demonstration of producing reports using figures generated in MRDCL or QPSMR as well as answering a good selection of questions that came from the audience.

What is the MRDC Reporting Toolkit?

The toolkit has two parts – templates that allow data analysts to get figures out of MRDCL and QPSMR easily and a designer in Excel that allows you to prepare reports in Excel, PowerPoint, Google Sheets or Google Slides and link results created in MRDCL or QPSMR.

This toolkit is the first stage in its development with more features coming in the near future to help our customers reduce the time they spend producing their reports.

The MRDC Reporting Toolkit Partnership Scheme

At the end of the webinar, we revealed our offer to become a partner and suggest a development that would help your productivity. You have until 31st August 2019 to apply for a free development that would help your reporting needs by becoming one of the four partners in our programme. The toolkit is free to MRDC customers. If you want a free copy of the Toolkit or have further questions, please contact charlotte.hearn@mrdcsoftware.com.

Phil Hearn
Author: Phil Hearn - Date posted: 8 August 2019
Category: automated-reporting - Tags: Toolkit, Reporting, Excel, PowerPoint, charts, automation

« The pros and cons of using end to end software in market research - Handling numeric values and arithmetic in MRDCL »