blog: Data Processing

Articles about Data Processing, Data Science and Data Visualization

 


SwissPeaks Rules for Developing Data Viz DashboardsSwissPeaks Rules for Developing Data Viz Dashboards

30th January 2017

The user experience of a dashboard depends on its user base, the amount of data being utilised and more significantly, the data types or data structures employed. SwissPeaks have created a set of benchmarks and rules that allow data quantity and various data types to be easily and quickly uploaded to our data visualisation platforms.

The US Presidential Election: The end of Political Polling?The US Presidential Election: The end of Political Polling?

11th November 2016

“The distinction between one kind of poll and another is important, but it is also often exaggerated. Polls drive polls. Good polls drive polls and bad polls drive polls, and when bad polls drive good polls they’re not so good anymore.” - Nate Silver

Contemporary data processing - a lack of data management training?Contemporary data processing - a lack of data management training?

19th September 2016

At the most basic level, it is the data processing team’s responsibility to make sure the data captured or entered is correct. This means ensuring that the aggregated frequencies for each question adhere to the questionnaire content and skip logic.

A Long Term Solution to Perfect Questionnaire DesignA Long Term Solution to Perfect Questionnaire Design

30th August 2016

Last week we discussed a short-term fix to improve your questionnaire design involving the use of MS Word tables. This is in effect a very simplified question database concept. This week we’re going to share with you a more long-term fix.

 

An Easy Solution for Perfect Questionnaire DesignAn Easy Solution for Perfect Questionnaire Design

22nd August 2016

As you may have gathered from our previous post, the most frustrating part of being in the data processing business is the way in which some research teams develop questionnaires to lack content, layout accuracy and clarity. There are two solutions to this.

The Triple Threat: Data Capture, Entry and VerificationThe Triple Threat: Data Capture, Entry and Verification

1st August 2016

Data capture, data entry and verification has always been an area of concern for SwissPeaks and irrelevant of data collection type, there is a significant amount of manual work that goes into the following:

New MR: How Important Is Technology in Innovating the Industry?New MR: How Important Is Technology in Innovating the Industry?

28th July 2016

Data transfer is a vital step in the data management process. From data collection to processing into a data file or a frequency report that is ready for the client, this forming of handshakes is where technology can really add value. Where 15+ years ago the majority of SwissPeaks’ time was spent manually setting up scripts in order to check the data, we now spend less time needing to do this and can deliver expedited data and frequency reports.

5 Obstacles to Achieving Perfect Data Quality5 Obstacles to Achieving Perfect Data Quality

18th July 2016

If you’re after good quality data with minimal delay between fieldwork and results (at minimum cost) then you need to employ a coherent approach to managing the process as a whole. We have compiled a guide of 5 common mishaps you’ll want to avoid to ensure your project data is clean and accurate.

 

A Tableau Story: UK RegionsA Tableau Story: UK Regions

30th March 2016

Tableau has some powerful geolocation data visualization options available. If you live in the USA, or want to visualise country delimited data, Tableau has you covered. For the UK, however, this seems to be a different ball game.

The Importance of Data QualityThe Importance of Data Quality

16th March 2016

As computer packages become more sophisticated, so do the humans who use them to present data. The data buzzword now is not presentation, but visualization – one look at the hashtag #dataviz will show you how many people are demonstrating new and visual ways to show off their data, with many more specialist computer packages to help them.


 

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